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Fluxers! Welcome back to another ecosystem update! On Wednesday, July 15, we had an AMA, and in today’s blog, we are going to recap everything, so let’s dive in.
High-Level Ecosystem Shifts To start off, Flux is restructuring its operations around a leaner, more community-driven model. The core team remains in place, but the project expects less direct corporate involvement from InFlux, greater community participation, and a transition of its corporate focus from the United Kingdom to the United States.
Next up, we will soon be sending notifications to FluxNode operators still running legacy nodes, stating that if they do not update to PoUW v2, they will be brought offline. Essentially, operators running legacy nodes will be given a deadline to migrate to the currently supported node environment. Nodes that remain on the legacy system after that deadline will be banned from FluxCloud.
Additionally, we plan to implement community referral codes and profit sharing. For example, if a Fluxer helps bring 30 new machines to the network, they would receive a portion of that revenue by entering their personal code on any deployments they make.
Expanding further on revenue sharing, Flux is exploring partnerships in which it supplies infrastructure and development support in exchange for a share of the participating company’s revenue or business. The community would be asked to approve how proceeds from these arrangements are incorporated into PNR.
FluxAI Developments Flux is building its own Large Language Model (LLM), and we will train it on FluxEdge GPUs. Our aim is not to compete with ChatGPT or Claude; we want to build an LLM that is highly specific to Flux and does not train on user data.
This specialized LLM will operate for particular FluxAI and customer applications. The team emphasized that FluxAI is designed around business privacy and does not harvest customer data in the manner associated with many mainstream AI platforms.
PNR Update Next, Progressive Node Rewards (PNR) are almost ready. With PNR, there will be an allocation specifically for node operators for what we refer to as “flex time,” where if your machine runs workloads at a higher rate, you will be compensated accordingly.
PNR differs from conventional mining economics. In a proof-of-work system, increasing competition can reduce an individual miner’s share of a largely fixed block-reward pool. Under the proposed PNR model, increased paid workload demand would instead expand the amount distributed to eligible node operators.
For PNR, as demand increases, payouts rise; conversely, when demand wanes, payouts decrease. When PNRs are implemented, node operators will be paid in proportion to their machines’ runtime depending on whether assigned workloads scale up or down.
Building out a PNR pay structure that dynamically adjusts to network demand requires extensive development. The team has largely finalized its proposed approach to PNR and hopes to introduce it during Q4 2026, subject to development progress, publication of a governance proposal and community approval.
Flux Foundation Update The Flux Foundation will adopt a bounty-payout feature that operates like a job marketplace. Flux community members can post a job they need completed with a bounty, and other community members can complete it to earn FLUX. Part of the Foundation’s yield-generating infrastructure will be allocated to fund the bounty program.
Conclusion This AMA reinforced that Flux is entering its next phase with a sharper focus on sustainability, community participation, and real-world adoption.
From restructuring operations and strengthening FluxAI to developing Progressive Node Rewards, referral incentives, and community bounties, the goal is to create an ecosystem in which contributors, operators, developers, and community members can all benefit from the network’s growth.
Many of these initiatives are still being developed and will require further technical work, governance proposals, and community approval before they are fully implemented.
However, the direction is clear: Flux is working toward a leaner, more decentralized ecosystem that rewards meaningful participation and ties node-operator earnings more closely to genuine platform demand. The future runs on Flux.
Santiment reports Bitcoin BEP2 leads BSC development. Flux and BNB also post high GitHub activity. Top 10 projects cover DeFi, privacy, cloud, and wallets.
Bitcoin BEP2 ranks highest in Binance Smart Chain developer activity, with Flux and BNB close behind. Santiment’s rankings focus on notable GitHub events, excluding vanity metrics for more accurate project tracking. Top projects span cloud computing, privacy upgrades, wallets, DeFi, and protocol governance across the ecosystem Development activity across Binance Smart Chain (BSC) and Binance Chain accelerated this month, according to data released by analytics firm Santiment.
The firm’s updated rankings, which track the ten most active projects based on GitHub activity, showed several shifts across the ecosystem, Santiment reported.
Bitcoin (BTC) BEP2 ranked first with 57.43 notable GitHub events over the last 30 days, maintaining the strongest development footprint across the BSC ecosystem, according to the data. FLUX, a decentralized cloud project, placed second with 212 development events recorded during the period.
BNB (BNB), Binance’s flagship asset, secured third place with 17.47 development events, the rankings showed.
Zcash (ZEC) maintained activity levels due to ongoing security and privacy upgrades, while Trust Wallet showed developer engagement as it expands cross-chain integrations and wallet functionalities, according to Santiment. Dusk remained active in the zero-knowledge and regulated finance sector, with development progress continuing along its roadmap.
The remainder of the top 10 included Band Protocol, Beefy Finance, 0x Protocol, and Saito. Santiment’s directional markers indicated some projects climbed the rankings while others experienced minor declines.
Santiment stated its rankings exclude vanity metrics such as commits or forks, instead relying on a methodology that tracks notable GitHub events to capture meaningful development work.
The data revealed developer activity distributed across multiple sectors including cryptocurrency and Binance-native assets, cloud computing, privacy, wallet infrastructure, protocol governance, DeFi yield optimization, and blockchain networking, according to Santiment’s visual analysis.
TL;DR: Uquid and Flux are partnering to power Web3 Shopping Day (Nov 24–Dec 7, 2025) by using FluxCloud + FluxEdge + FluxAgents as resilient backend infrastructure for high-traffic on-chain retail through Uquid marketplaces.
Who: This article is for merchants and Web3 shoppers who want more reliable, scalable, and auditable ecommerce infrastructure during peak demand.
What To Do: if you’re building a storefront, deploy your retail app on FluxCloud.
Next Steps: Visit the Uquid digital dApp marketplace to view how they’re decentralizing online shopping.
Web3 shopping is blockchain-powered retail; purchasing real-world goods and services on-chain with digital currencies. This differs from traditional online shopping, as users have much more control over their purchase journeys.
Features like account abstraction, which allows smart contracts to function as personal wallets, remove intermediary custodians, enable unique and customizable shopping experiences, and strengthen data security practices.
Uquid is a decentralized e-commerce platform specializing in frontend customer interactions that bridges traditional online purchasing with on-chain retail. The Uquid digital marketplace enhances Web3 shopping by connecting consumers directly with products without any middleman custody. On the backend, InFlux Technologies (Flux) is a global decentralized cloud network that enhances Web3 shopping by providing scalable compute for merchant-built retail applications.
Together, with Uquid handling customer interactions and payment processes through an intuitive interface on the frontend, and Flux providing resilient and decentralized infrastructure for e-commerce app development on the backend, these projects are showcasing a commitment and ability to shape the next generation of trust-based shopping. This will be on full display as Uquid and Flux work side by side to drive home this year’s Web3 Shopping Day—a global retail event running from November 24 to December 7, 2025.
The Flux ecosystem (Influx Technologies) enhances on-chain e-commerce during high-demand shopping events such as Web3 Shopping Day by providing merchants and vendors with a resilient development infrastructure for deploying customizable retail applications that smoothly facilitate customer journeys.
A resilient infrastructure layer powering vendor applications is critical, as it ensures reliable uptime during seasonal, high-demand shopping events like Web3 Shopping Day, which drive significant consumer traffic.
Three components of the Flux ecosystem specifically enhance the Web3 shopping experience: FluxCloud, FluxEdge, and FluxAgents.
FluxCloud is a global, decentralized cloud network run by independently operated, physically distributed computational FluxNodes, from which users can deploy containerized digital storefronts. FluxCloud offers merchants automated deployment management, built-in resilience and redundancy, and total control over deployment data, such as customer transaction records and purchase histories.
FluxEdge is a decentralized compute marketplace that harnesses underutilized bandwidth from idle personal devices, such as smartphones and laptops, to power digital storefronts and retail applications with cost-effective, scalable compute sourced from high-quality GPUs. So, if a merchant app’s customer traffic spikes, FluxEdge’s computing resources can be scaled elastically in real time to accommodate sudden fluctuations in demand and traffic volume.
FluxAgents are private, customizable, intelligent workflows that can fit with legacy stacks to break down isolated data silos, improve system interoperability, and automate redundant operations. To preserve data integrity, FluxAgent automation permissions are entirely configured by users. FluxAgent automations enable human-in-the-loop feedback at every step of an agent’s workflow, ensuring complete user control over AI deployments for automated shopping.
FluxAgents can be instrumental in enhancing Web3 shopping for consumers and merchants by automating procurement and customer follow-up, reducing customer data sprawl across vendor portals, and integrating programmatically into smart contract logic for automated shopping.
By enabling merchants with localized development infrastructure that maintains constant uptime through distributed hardware, the Flux ecosystem can be leveraged to build and launch streamlined, high-performing retail applications and digital storefronts that are responsive, automated with agent workflows, and feature zero latency. This means faster checkout processes, reduced shopping cart abandonment, and overall improved customer satisfaction.
Uquid makes Web3 Shopping Day possible; it is a commerce behemoth that aggregates millions of products for its marketplace and supports endless real-time product queries. Additionally, Uquid’s decentralized commerce rails span physical product verification, automated shopping, supplier matching, and DeFi-based token rewards, all of which require data integrity and sovereignty, censorship-resistant and tamper-proof automation, and stable execution enabled by distributed computing resources.
To significantly enhance the Web3 shopping experience, the Flux ecosystem can serve as Uquid’s unified trust and execution layer, enabling seamless product verification and fluid, automated shopping systems for agentic purchasing.
Together, these layers form a decentralized, scalable infrastructure that is essential for maintaining stable automation and efficient product verification during peak transaction periods in a high-traffic ecommerce event like Web3 Shopping Day.
Trust Layer Uquid’s physical shop already delivers on-chain product authenticity, providing complete product information to users before any goods even ship through NFT authentication. As the trust layer, Flux can drastically scale this by hosting:
Immutable warranty verification services Authenticity scoring and vendor reputation models Fraud detection services Distributed/sharded product and consumer metadata archives This ensures that every product authenticity check, warranty lookup, and fraud signal event stems from a tamper-proof compute environment that cannot be altered internally or censored externally.
Execution Layer Uquid leverages programmatic smart contract-guided workflows that automatically match buyers, merchants, and suppliers to create customizable purchase journeys for Web3 shopping. The Flux ecosystem can augment this with an AI agent execution layer that processes all automations and intelligent workflow logs using decentralized compute.
Computational FluxNodes, integrated with AI agents, can power:
Inventory lookup engines “Buy Now Pay Later” (BNPL) credit checks Reward-issuance automations Coupon/promotion verification Agentic wallet operations like purchase/sell orders This ensures that Uquid’s automated commerce logic executes efficiently and remains auditable and transparent.
Combining Trust with Execution When combined, the trust and execution layers form a unified layer that verifies every product, seller, buyer, and transaction, automatically executes every agent workflow and assigned task from product filtering to checkout processes, and removes all centralized dependencies with single points of failure.
Flux and Uquid are working together to reshape retail through resilient infrastructure and decentralized ecommerce boosted with intelligence, enabling consumers with greater control over their purchase journeys and vendor applications with reliable network uptime.
So, whether browsing casually or looking for a great deal during this year’s Web3 Shopping Day event, Uquid and Flux ensure smooth customer interactions, low-latency merchant applications, and seamless checkouts, enhancing the Web3 shopping experience.
In brief The new Z-Image model runs on 6GB VRAM—hardware Flux2 can't even touch. Z-Image already has 200+ community resources and over a thousand positive reviews versus Flux2's 157 reviews. It is ranked as the best open-source model to date. Alibaba's Tongyi Lab Z-Image Turbo, a 6-billion-parameter image generation model, dropped last week with a simple promise: state-of-the-art quality on hardware you actually own.
That promise is landing hard. Upon days of its release, developers had been cranking out LoRAs—custom fine-tuned adaptations—at a pace that's already outstripping Flux2, Black Forest Labs' much-hyped successor to the wildly popular Flux model.
Z-Image's party trick is efficiency. While competitors like Flux2 demand 24GB of VRAM minimum (and up to 90GB for the full model), Z-Image runs on quantized setups with as little as 6GB.
That's RTX 2060 territory—basically hardware from 2019. Depending on the resolution, users can generate images in as little as 30 seconds.
For hobbyists and indie creators, this is a door that was previously locked.
The AI art community was fast to praise the model.
"This is what SD3 was supposed to be," wrote user Saruhey on CivitAI, the world's largest repository of open source AI art tools. "The prompt adherence is pretty exquisite... a model that can do text right away is game-changing. This thing is packing the same, if not better, power than Flux is black magic on its own. The Chinese are way ahead of the AI game."
Z-Image Turbo has been available on Civitai since last Thursday and has already gotten over 1,200 positive reviews. For context, Flux2—released a few days before Z-Image—has 157.
The model is fully uncensored from scratch. Celebrities, fictional characters, and yes, explicit content are all on the table.
As of today, there are around 200 resources (finetunes, LoRAs, workflows) for the model on Civitai alone, many of which are NSFW.
On Reddit, user Regular-Forever5876 tested the model's limits with gore prompts and came away stunned: "Holy cow!!! This thing understands gore AF! It generates it flawlessly," they wrote.
The technical secret behind Z-Image Turbo is its S3-DiT architecture—a single-stream transformer that processes text and image data together from the start, rather than merging them later. This tight integration, combined with aggressive distillation techniques, enables the model to meet quality benchmarks that usually require models five times its size.
We ran Z-Image Turbo through extensive testing across multiple dimensions. Here's what we found.
Speed: SDXL Pace, Next-Gen QualityAt nine steps, Z-Image Turbo generates images at roughly the same speed as SDXL, with the usual 30 steps—a model that dropped back in 2023.
The difference is that Z-Image's output quality matches or beats Flux. On a laptop with an RTX 2060 GPU with 6GB of VRAM, one image took 34 seconds.
Flux2, by comparison, takes approximately ten times longer to generate a comparable image.
Realism: The new benchmarkZ-Image Turbo is the most photorealistic open-source model available right now for consumer-grade hardware. It beats Flux2 outright, and the base distilled model outperforms dedicated realism fine-tunes of Flux.
Skin and hair texture look detailed and natural. The infamous "Flux chin" and "plastic skin" are mostly gone. Body proportions are consistently solid, and LoRAs enhancing realism even further are already circulating.
Text generation: Finally, words that workThis is where Z-Image truly shines. It's the best open-source model for in-image text generation, performing on par with Google's Nanobanana and Seedream—models that set the current standard.
For Mandarin speakers, Z-Image is the obvious choice. It understands Chinese natively and renders characters correctly.
Pro tip: Some users have reported that prompting in Mandarin actually helps the model produce better outputs, and the developers even published a "prompt enhancer" in Mandarin.
English text is equally strong, with one exception: uncommon long words like "decentralized" can trip it up—a limitation shared by Nanobanana too.
Spatial awareness and prompt adherence: ExceptionalZ-Image's prompt adherence is outstanding. It understands style, spatial relationships, positions, and proportions with remarkable precision.
For example, take this prompt:
A dog with a red hat standing on top of a TV showing the words “Decrypt 是世界上最好的加密货币与人工智能媒体网站” on the screen. On the left, there is a blonde woman in a business suit holding a coin; on the right, there is a robot standing on top of a first aid box, and a green pyramid stands behind the box. The overall scenery is surreal. A cat is standing upside down on top of a white soccer ball, next to the dog. An Astronaut from NASA holds a sign that reads "Emerge" and is placed next to the robot.
As noticeable, it had only one typo, probably because of the language mixture, but other than that, all the elements are accurately represented.
Prompt bleeding is minimal, and complex scenes with multiple subjects stay coherent. It beats Flux on this metric and holds its own against Nano Banana.
What's next?Alibaba plans to release two more variants: Z-Image-Base for fine-tuning, and Z-Image-Edit for instruction-based modifications. If they land with the same polish as Turbo, the open-source landscape is about to shift dramatically.
For now, the community's verdict is clear: Z-Image has taken Flux's crown, much like Flux once dethroned Stable Diffusion.
The real winner will be whoever attracts the most developers to build on top of it.
But if you asked us, yeah, Z-Image is our favorite home-oriented open source model right now.
Daily Debrief NewsletterStart every day with the top news stories right now, plus original features, a podcast, videos and more.
In brief The new Z-Image model runs on 6GB VRAM—hardware Flux2 can't even touch. Z-Image already has 200+ community resources and over a thousand positive reviews versus Flux2's 157 reviews. It is ranked as the best open-source model to date. Alibaba's Tongyi Lab Z-Image Turbo, a 6-billion-parameter image generation model, dropped last week with a simple promise: state-of-the-art quality on hardware you actually own.
That promise is landing hard. Upon days of its release, developers had been cranking out LoRAs—custom fine-tuned adaptations—at a pace that's already outstripping Flux2, Black Forest Labs' much-hyped successor to the wildly popular Flux model.
Z-Image's party trick is efficiency. While competitors like Flux2 demand 24GB of VRAM minimum (and up to 90GB for the full model), Z-Image runs on quantized setups with as little as 6GB.
That's RTX 2060 territory—basically hardware from 2019. Depending on the resolution, users can generate images in as little as 30 seconds.
For hobbyists and indie creators, this is a door that was previously locked.
The AI art community was fast to praise the model.
"This is what SD3 was supposed to be," wrote user Saruhey on CivitAI, the world's largest repository of open source AI art tools. "The prompt adherence is pretty exquisite... a model that can do text right away is game-changing. This thing is packing the same, if not better, power than Flux is black magic on its own. The Chinese are way ahead of the AI game."
Z-Image Turbo has been available on Civitai since last Thursday and has already gotten over 1,200 positive reviews. For context, Flux2—released a few days before Z-Image—has 157.
The model is fully uncensored from scratch. Celebrities, fictional characters, and yes, explicit content are all on the table.
As of today, there are around 200 resources (finetunes, LoRAs, workflows) for the model on Civitai alone, many of which are NSFW.
On Reddit, user Regular-Forever5876 tested the model's limits with gore prompts and came away stunned: "Holy cow!!! This thing understands gore AF! It generates it flawlessly," they wrote.
The technical secret behind Z-Image Turbo is its S3-DiT architecture—a single-stream transformer that processes text and image data together from the start, rather than merging them later. This tight integration, combined with aggressive distillation techniques, enables the model to meet quality benchmarks that usually require models five times its size.
We ran Z-Image Turbo through extensive testing across multiple dimensions. Here's what we found.
Speed: SDXL Pace, Next-Gen QualityAt nine steps, Z-Image Turbo generates images at roughly the same speed as SDXL, with the usual 30 steps—a model that dropped back in 2023.
The difference is that Z-Image's output quality matches or beats Flux. On a laptop with an RTX 2060 GPU with 6GB of VRAM, one image took 34 seconds.
Flux2, by comparison, takes approximately ten times longer to generate a comparable image.
Realism: The new benchmarkZ-Image Turbo is the most photorealistic open-source model available right now for consumer-grade hardware. It beats Flux2 outright, and the base distilled model outperforms dedicated realism fine-tunes of Flux.
Skin and hair texture look detailed and natural. The infamous "Flux chin" and "plastic skin" are mostly gone. Body proportions are consistently solid, and LoRAs enhancing realism even further are already circulating.
Text generation: Finally, words that workThis is where Z-Image truly shines. It's the best open-source model for in-image text generation, performing on par with Google's Nanobanana and Seedream—models that set the current standard.
For Mandarin speakers, Z-Image is the obvious choice. It understands Chinese natively and renders characters correctly.
Pro tip: Some users have reported that prompting in Mandarin actually helps the model produce better outputs, and the developers even published a "prompt enhancer" in Mandarin.
English text is equally strong, with one exception: uncommon long words like "decentralized" can trip it up—a limitation shared by Nanobanana too.
Spatial awareness and prompt adherence: ExceptionalZ-Image's prompt adherence is outstanding. It understands style, spatial relationships, positions, and proportions with remarkable precision.
For example, take this prompt:
A dog with a red hat standing on top of a TV showing the words “Decrypt 是世界上最好的加密货币与人工智能媒体网站” on the screen. On the left, there is a blonde woman in a business suit holding a coin; on the right, there is a robot standing on top of a first aid box, and a green pyramid stands behind the box. The overall scenery is surreal. A cat is standing upside down on top of a white soccer ball, next to the dog. An Astronaut from NASA holds a sign that reads "Emerge" and is placed next to the robot.
As noticeable, it had only one typo, probably because of the language mixture, but other than that, all the elements are accurately represented.
Prompt bleeding is minimal, and complex scenes with multiple subjects stay coherent. It beats Flux on this metric and holds its own against Nano Banana.
What's next?Alibaba plans to release two more variants: Z-Image-Base for fine-tuning, and Z-Image-Edit for instruction-based modifications. If they land with the same polish as Turbo, the open-source landscape is about to shift dramatically.
For now, the community's verdict is clear: Z-Image has taken Flux's crown, much like Flux once dethroned Stable Diffusion.
The real winner will be whoever attracts the most developers to build on top of it.
But if you asked us, yeah, Z-Image is our favorite home-oriented open source model right now.
Daily Debrief NewsletterStart every day with the top news stories right now, plus original features, a podcast, videos and more.
TLDR; InFlux has partnered with the ethical AI firm Strateji to build Africa’s first decentralized cloud network and close the continent’s digital divide.
Who; This article is for FluxNode operators in Africa to see what we are bringing to the region next!
What To Do; Check out Strateji.io to view how they’re reshaping digitization in Africa.
Next Steps; Launch a node on FluxCloud and supply compute.
Introduction InFlux Technologies has partnered with Strateji to bridge the digital divide in Africa, establishing the continent’s first decentralized cloud network to power sustainable AI development.
What is Africa’s digital divide? The digital divide—the disparity between those with access to the internet and those without—remains a pertinent issue across Africa, as the continent has more people without internet access than any other region in the world.
In most regions, the majority of domestic populations have internet access. However, in Africa, only 36% of the population had internet access as of 2022, well below global averages. Internet infrastructure is costly, and Arica exhibits substantial variation in broadband access and affordability.
Northern Africa offers some of the cheapest mobile data rates globally, whereas Sub-Saharan Africa has some of the most expensive; this polarity results in higher average internet costs in urban areas that can build computing infrastructure. Nonetheless, Africa is vast, and much of it is extremely rural and difficult to access.
Furthermore, conflicts and urban wealth concentrations make rural infrastructure development extremely costly. Additionally, digital literacy in Africa is below global averages, with many national curricula omitting it entirely.
What is this partnership? This partnership will pair Strateji’s AI stack with Flux’s globally distributed computing infrastructure to power the Amanzi Cloud, Africa’s first decentralized cloud network for AI development.
Distributed computing refers to infrastructure that powers internet connectivity, owned and operated by independent hardware providers rather than large centralized conglomerates such as AWS or Google Cloud.
Personal computing devices, such as laptops, can be added to the FluxCloud network to provide processing power for app development, AI inference, and web traffic management.
Because hardware providers are globally distributed, compute can be sourced from diverse regions closer to where end-users are accessing the internet, enabling local computing. Making it possible for rural and remote areas of Africa to receive digital services, closing the divide.
Strateji is bringing ethical AI to Africa and leveraging decentralized technologies to do so. Flux’s decentralized cloud means that no single authority can monopolize compute flows or shut down network operations, ensuring redundancy in regions with political tensions and travel advisories.
Additionally, because many independent compute providers contribute their hardware to the FluxCloud network, there are no single points of failure.
This partnership demonstrates Flux’s ability to diversify into markets without internet access, boost digital literacy, and expand access in rural areas. With Strateji, we will close the digital divide. The future runs on Flux.
Flux ecosystem, a decentralized cloud infrastructure that provides advanced computational resources for developers to build Web3 applications, today announced a strategic partnership with CZR Exchange, a cryptocurrency exchange that simplifies and secures people’s crypto trading journey. The collaboration enabled CZR Exchange to integrate Flux’s cloud computing infrastructure into its crypto trading platform, a move that aims to support developers in the CZR network.
CZR Exchange is a cryptocurrency exchange and wallet whose headquarter is based in the Cayman Islands. The exchange combines cutting-edge financial products, powerful trading tools, and institutional-level security features into a single unified platform serving the interests of both institutional investors and retail customers. With its integrated exchange and wallet ecosystem, CZR enables users to efficiently store, manage, and trade virtual assets through compliance, transparency, and constant innovation.
CZR Boosting DApps Development Using Flux Cloud CZR Exchange utilizes this collaboration as a strategy to advance the growth of its crypto trading ecosystem by offering developers on its platform access to Flux’s wide variety of computing services and resources. By leveraging Flux’s decentralized cloud infrastructure, developers on the CZR exchange will be able to build and scale their DApps (decentralized applications) rapidly and seamlessly.
Flux is a decentralized cloud-based computing network designed to enable developers to build and deploy scalable, multi-chain blockchain applications. The Flux ecosystem offers environment-agnostic development systems that help Web3 developers to create decentralized applications with various design options. Its native cryptocurrency, called FLUX, is used for various applications, including payment, trading, staking, and several others.
The collaboration above provides builders developing DApps on the CZR Exchange with access to Flux’s Baas (blockchain-as-a-service) solution. This Baas solution offers CZR builders innovative, wide-ranging tools for developing and deploying decentralized applications on the crypto exchange. Flux will also provide technical assistance and resources to CZR builders, including allowing them to access Flux’s machine learning and AI tools to help improve the performance and functionality of their blockchain applications.
Driving Innovation in DeFi and Ecosystem Growth Through the partnership with Flux, CZR Exchange is well-equipped to expand the efficiency of its crypto trading network and even attract more builders to develop applications on its platform. The collaboration shows CZR’s and Flux’s commitment towards driving growth and innovation within the DeFi landscape while supporting the advancement of the broader blockchain ecosystem.
The alliance between CZR and Flux is a crucial step towards developing and supporting the decentralized finance environment. By offering builders access to powerful cloud computing services and resources, Flux and CZR are set to develop a stronger and more accessible decentralized ecosystem.
AUTHOR
Nicholas Otieno is a fintech writer specializing in cryptocurrency markets. Since 2019, he has written articles to educate readers about cryptocurrency and its substantial positive impact on global prosperity. Nicholas is a Bitcoin holder, believing firmly in its fundamentals. His work has been featured in publications such as Finance Magnates, Blockchain.News, Bitcoin Magazine, Coincub, and among others. When he's not writing, Nicholas enjoys performing domestic tasks, spending time with friends, listening to music, and watching football.
Messari’s State of DePIN Report 2025 found that infrastructure revenues and token values are in the red and will continue to decline across every major project in the decentralized physical infrastructure network narrative.
Flux operates in the general-purpose compute sector of the DePIN landscape, with FluxCloud, a decentralized cloud network, and FluxEdge, a P2P distributed compute and GPU network, supplying processing power for app development and AI inference.
We know the Flux community may be struggling right now due to broader conditions in the crypto market. So, in today’s blog, we will provide a general overview of Flux’s current standing relative to other top general-purpose compute projects that also offer distributed processing power for app development. Let’s dive in!
What is Akash? Akash Network is a decentralized cloud marketplace for containerized applications, where development teams can purchase distributed compute resources tailored to their application specifications. Users describe the resources they need (CPU/RAM/storage/GPU) in a YAML file, then independent compute providers bid on the file to host the app.
Compute capacity on Akash is rented on short-term leases, and users can select hosting bids from providers based on resource pricing and location. Once a provider is selected and the compute is leased, app containers run on the provider’s hardware, and users pay as they go.
Akash Network Resources: CPU (vCPU / cores): 9,286.80 GPU (count): 265 RAM: 76.28 TB Storage: 690.17 TB Why Flux Over Akash? Akash is a lease-driven cloud marketplace, meaning that compute providers come and go, leases expire, and deployed apps are guaranteed to remain reachable at the same endpoint. Users are responsible for managing their own endpoints if they have multiple deployments, their app requires external routing, or they need failover.
FluxCloud’s advantage over Akash is that it’s less about “compute supply” and more about “platform supply,” providing holistic runtime environments for deployments that ensure apps run stably and efficiently over time.
FluxCloud supports single- and multi-instance deployments, keeping application state consistent across multiple independent nodes. If one node fails, FluxCloud assigns runtime workloads to another instance, enabling automatic failover for greater network redundancy.
Now, Akash deployments are Docker-based: users tediously construct a Dockerfile → push it to an app framework registry → and then manually maintain states in an app manifest.
FluxCloud’s Deploy with Git feature eliminates this process entirely: application frameworks are detected, and runtime environments are configured automatically, allowing users to deploy apps directly from GitHub repositories with just a repo URL and no Dockerfiles. Deploy with Git means apps will run without having to painstakingly register an app or stand up a container.
What is CUDOS? The CUDOS Intercloud is a globally decentralized cloud infrastructure that connects developers to scalable, cost-effective distributed resources for running high-performance computing (HPC) servers.
Users select a location and their desired GPU, and Intercloud spins up a virtual machine (VM) that serves as a standard server for content delivery and handling requests.
Redundancy is achieved by spinning up and provisioning multiple VMs, and users must configure their own load balancing (distributing network traffic across multiple servers) to ensure data availability.
CUDOS Network Resources: CPU: 12,000+ processor cores RAM: 26,000 GiB Storage: 575 TB Why Flux Over CUDOS? CUDOS primarily provides servers that deliver static content for processed app data and API requests. Flux’s advantage is that it provides a broader range of services—not just servers but also runtimes (application execution environments) that execute logic.
CUDOS Intercloud VMs require users to manage their own application layers, including OS installation, patching, bug fixes, load scaling, and codebase audits. FluxCloud handles all of that with fully managed deployments, automatically balancing loads and pushing updates and new features.
What is Stratos? Stratos is a decentralized storage network that splits files and documents into encrypted shards and stores them across a distributed network of nodes. Stratos provides storage capacity and bandwidth for data transfers between nodes, enabling high availability for users.
Stratos Network Resources: Storage Capacity: 34.78 PB Storage Nodes: 1,538 Total bandwidth: 150 GB/s Why Flux Over Stratos? Flux’s advantage over Stratos is its complete compute ecosystem, with standardized resource provisioning and extensive hosting capabilities. Whereas Stratos functions exclusively as a storage network, providing capacity, storage nodes, and bandwidth for file transfers.
Stratos is well-suited for decentralized storage and data delivery. Still, if you need an always-on infrastructure for compute scheduling, instance replication for failover, and stable service endpoints, FluxCloud is the right choice.
What is Golem? Golem Network functions similarly to FluxEdge: it’s a decentralized compute marketplace where independent contributors provide resources to the network, which users pay to run app workloads on. Golem is an open-source protocol that allows anyone to join the network as a contributor. Contributors rent out excess compute and earn $GLM tokens for doing so.
Golem Network Resources: Contributors: 1,476 CPU: 10,209 cores (14,521 threads) Golem is built around execute-and-return workloads, in which tasks are submitted to the network in batches for bulk execution. These are short-term workloads that run until completion and involve little human interaction. Golem is ideal for temporary compute tasks, such as pushing an application update, but not for long-term workloads, such as app hosting.
Why Flux Over Golem? Flux’s advantage over Golem is that it’s built around long-term, host-and-serve workloads that run continuously and wait for and respond to external API requests. Host-and-serve workloads are needed to run uninterrupted application hosting.
Additionally, Golem workflows are Docker-centric and require users to convert application Docker images into Golem Virtual Machine Images.
Docker images are blueprints for applications that define all application logic and outline the app’s codebase. Golem offers image packaging that automatically converts Docker images, but users still must configure their own files first.
FluxCloud’s Deploy with Git feature completely bypasses the need for Dockerfiles, allowing users to deploy apps directly from Git repositories. Simply paste a Git URL, click deploy, and let FluxCloud handle your app’s runtime, with new updates and changes to the app repo syncing automatically. No Docker images required.
What is Aethir? Aethir is a decentralized compute network designed for GPU-heavy workloads around AI training and gaming. Rather than offering general-purpose compute for typical daily app workloads, Aethir provides a large pool of distributed GPU resources for complex tasks.
Aethir Network Resources: GPU containers: 440,000+ Geographic footprint: 94 countries, 200+ locations Cumulative compute delivered: 1.2B+ compute hours Why Flux Over Aethir? Flux’s advantage over Aethir is architectural: Aethir focuses on supplying raw GPU power, whereas Flux provides GPU power and the CPU-side components, such as state monitoring and an API layer, that apps need to function.
Most app deployments require more than compute to work; they also require background services that always run and demand continuous resource support, such as:
The API that receives requests User login/authentication Rate limiting (to prevent abuse) Job queues Orchestration (coordinating everything) State Monitoring Databases FluxCloud is built to run this always-on backend service layer, keeping it accessible with automatic failover even when GPUs fail. Flux runs these always-on backend services as replicated instances, so when the primary node executing an app workload goes down, instances are automatically replaced, and workloads are reassigned without restarting.
Aethir excels at providing GPUs, but dev teams can underestimate the critical role of non-GPU infrastructure in app deployments. That’s where Flux takes the lead: it provides complete, resilient systems, GPUs, and all the accompanying backend app services.
Conclusion If there is one takeaway from the state of general-purpose compute networks in 2026, it’s that decentralized resources support very different app runtime models. Akash operates a compute marketplace where capacity is supplied via leased machines.
CUDOS is akin to a traditional VM-based cloud network, where redundancy is built through user-managed instances, and scale is achieved through manual infrastructure tooling.
Stratos is a decentralized storage network; Golem provides compute via a distributed GPU infrastructure; and Aethir supplies raw GPU power for complex AI and gaming tasks.
Compared with Flux, these other compute networks lack holistic runtime capabilities. Whether users are running a temporary workload, an “always-on” backend service that requires continuous compute, a storage container, or a full backend-to-frontend GPU pipeline for app deployment, Flux can deliver.
FluxCloud’s multi-instance hosting and automatic replacement of failed instances are designed to keep long-lived services reachable, maximizing redundancy. Additionally, Deploy with Git enables app deployments directly from Git repositories without requiring manually configured Dockerfiles.
Our network isn’t just a place to buy computing resources; it’s an entire runtime ecosystem for holistic app hosting and operations, from development to deployment. The future runs on Flux.
PANews reported on March 22 that Venus Protocol announced on its X platform that USR trading on the Venus Flux market has been suspended due to a de-pegging of the stablecoin USR. Venus Core is unaffected, and all user funds are safe. The company is actively monitoring the situation and will provide updates as more information becomes available.
Author: PA一线
This content is for market information only and is not investment advice.
Stifel: U.S. economy in "overheated expansion" as AI investment cycle outweighs consumer pressure
U.S. large diversified financial services holding company Stifel has raised its year-end S&P 500 target and rolled out a stock allocation framework for a "high-growth, high-inflation" environment. The firm lifted its year-end S&P 500 target to 7,800 points, noting the U.S. economy is entering a "running hot" state—where economic growth is strengthening alongside mounting inflationary pressure. Stifel’s models show U.S. growth momentum is picking up while inflation momentum is clearly overheating, a trend that will reshape the market’s leading sector structure in the second half of the year. Instead of traditional consumer sectors, Stifel’s top picks are investment-led cyclical industries, including banks, transportation, materials, energy, semiconductors, software and equipment. The firm adds that fixed-asset investment in AI remains on the rise: large tech firms including Amazon, Microsoft, Meta and Google are projected to combine for roughly $725 billion in total capital expenditures in 2026, some $100 billion higher than prior estimates. This means the AI investment chain is likely to continue outperforming the consumption chain squeezed by inflation. Stifel advises investors to reduce exposure to discretionary consumer, consumer staples, communication services and some financial services sectors, as these areas see weaker earnings revisions. Conversely, the firm favors cyclical value stocks and hedges with defensive value sectors such as insurance, autos, energy and banks.
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Analyst: Micron's earnings boost overall market sentiment for the tech sector
Chris Strazzeri, Financial Trading Manager of Moomoo’s Australia and New Zealand branch, stated: “The targeted sell-off indicates that following a sustained, strong rally in AI-related and speculative growth stocks, investors are enforcing strict valuation discipline. This serves as a warning to the market that actual earnings levels must now rise to support the currently overvalued price-to-earnings ratio. Micron Technology’s post-market earnings results largely confirm this, and its robust performance has lifted overall market sentiment in the tech sector.”
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2x Leveraged Long DRAM ETF (RAM) Records $383 Million in Trading Volume on Its First Day of Listing
According to Bitget market data, the Roundhill T-REX 2X Long DRAM Daily Target ETF (Nasdaq ticker: RAM) officially launched trading yesterday. On its first trading day, the fund recorded a total turnover of $383 million, and rose 29.47% in after-hours U.S. stock trading to hit $30.8. Note: RAM’s underlying exposure covers companies engaged in memory-related technologies, including DRAM, NAND and storage solutions, targeting active traders seeking leveraged exposure to the memory chip theme and artificial intelligence infrastructure development.
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BCA Research raises its S&P 500 target to 8,100 points, with AI remaining a core variable.
BCA Research has become the latest strategy firm to raise its US stock market target, reflecting Wall Street’s growing optimism about earnings support for US equities in the second half of the year. The institution lifted its year-end S&P 500 target from 7,700 points to 8,100 points. BCA’s core view is that first-quarter corporate earnings exceeded expectations in both strength and breadth, and the US economy has re-entered an expansion phase. Similar to JPMorgan Chase, BCA believes this stock rally is not only driven by valuation expansion—earnings themselves are delivering the index’s gains. AI remains the core variable in this assessment. Large tech firms including Alphabet, Microsoft, Amazon, Meta and Oracle continue to increase capital spending on data centers and AI infrastructure, driving growth in orders for chips, servers, construction, power and related industrial chains. This provides a clearer fundamental basis for upward revisions to 2026 and 2027 earnings. The institution points out that risks exist: the earnings expansion brought by AI investments has already been quickly priced into the market. If subsequent returns on capital spending are questioned, or interest rates remain elevated, further upside for the index will require more earnings confirmation rather than relying solely on investor risk appetite.
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Tom Lee: Markets have nearly priced in two interest rate hikes from the Federal Reserve this year, and the rise in US Treasury yields is weighing on market sentiment.
Tom Lee said the market is still digesting Kevin Warsh’s remarks from his first press conference last week and repricing the macro environment. Over the past week, oil prices have pulled back, with war premiums contracting. Current oil prices are not far from the roughly $65 level seen before the conflict, indicating the market views related war risks as declining. On the other hand, 10-year U.S. Treasury yields continue to rise, now around 4.5%, higher than the pre-conflict level of roughly 4.2%. The main headwind the market has faced recently has shifted from oil prices to yields. Tom Lee noted that the market is not only focused on 10-year U.S. Treasury yields but also starting to price in potential additional interest rate hikes from the Federal Reserve. According to federal funds futures, the market is currently pricing in nearly two rate hikes this year. Bank of America further projected today that the Fed will raise rates three times this year, in September, October, and December respectively. Jeffrey Gundlach often emphasizes the importance of monitoring 2-year U.S. Treasury yields, as they typically lead the Fed and signal the central bank’s policy direction. Between 2023 and 2025, the relationship between 2-year U.S. Treasury yields and the federal funds rate indicated that the Fed’s policy was overly tight, requiring interest rate cuts. However, this relationship has recently reversed, meaning the Fed would need two rate hikes to catch up with 2-year U.S. Treasury yields. He believes that, at least for now, yields have become a headwind for the market.
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Japan and South Korea's stock markets closed higher across the board, with Japan's stock market hitting a new closing high.
According to Bitget market data, the Nikkei 225 index closed up 3,191.37 points, or 4.61%, at 72,366.34 points on Thursday, June 25, hitting a new all-time closing high. South Korea’s KOSPI index rose 459.76 points (5.43%) to end at 8,930.78 points; SK Hynix surged 13% while Samsung Electronics gained more than 5%.
PANews reported on April 23 that, according to Cryptopolitan, Token Terminal data shows that the total value locked (TVL) of tokenized US Treasury bonds on-chain has surpassed $14 billion, setting a new record. Benji Fund, owned by Franklin Templeton, saw its on-chain assets grow by over 381% in the past month, becoming the fastest-growing issuer of tokenized debt. Tokenized Treasury bonds are primarily issued on Ethereum, with significant growth also observed on BNB and Solana. Currently, approximately 33,900 wallets hold tokenized Treasury bonds, nearing the historical peak. Holders are mainly DeFi teams and protocols, using tokenized Treasury bonds as collateral in lending protocols such as Morpho, Sky, and Flux. Based on an annualized yield of 3.68%, the $14 billion TVL could generate approximately $515 million in returns annually.
Messari’s State of DePIN Report 2025 found that infrastructure revenues and token values are in the red and will continue to decline across every major project in the decentralized physical infrastructure network narrative.
Flux operates in the general-purpose compute sector of the DePIN landscape, with FluxCloud, a decentralized cloud network, and FluxEdge, a P2P distributed compute and GPU network, supplying processing power for app development and AI inference.
We know the Flux community may be struggling right now due to broader conditions in the crypto market. So, in today’s blog, we will provide a general overview of Flux’s current standing relative to other top general-purpose compute projects that also offer distributed processing power for app development. Let’s dive in!
What is Akash? Akash Network is a decentralized cloud marketplace for containerized applications, where development teams can purchase distributed compute resources tailored to their application specifications. Users describe the resources they need (CPU/RAM/storage/GPU) in a YAML file, then independent compute providers bid on the file to host the app.
Compute capacity on Akash is rented on short-term leases, and users can select hosting bids from providers based on resource pricing and location. Once a provider is selected and the compute is leased, app containers run on the provider’s hardware, and users pay as they go.
Akash Network Resources: CPU (vCPU / cores): 9,286.80 GPU (count): 265 RAM: 76.28 TB Storage: 690.17 TB Why Flux Over Akash? Akash is a lease-driven cloud marketplace, meaning that compute providers come and go, leases expire, and deployed apps are guaranteed to remain reachable at the same endpoint. Users are responsible for managing their own endpoints if they have multiple deployments, their app requires external routing, or they need failover.
FluxCloud’s advantage over Akash is that it’s less about “compute supply” and more about “platform supply,” providing holistic runtime environments for deployments that ensure apps run stably and efficiently over time.
FluxCloud supports single- and multi-instance deployments, keeping application state consistent across multiple independent nodes. If one node fails, FluxCloud assigns runtime workloads to another instance, enabling automatic failover for greater network redundancy.
Now, Akash deployments are Docker-based: users tediously construct a Dockerfile → push it to an app framework registry → and then manually maintain states in an app manifest.
FluxCloud’s Deploy with Git feature eliminates this process entirely: application frameworks are detected, and runtime environments are configured automatically, allowing users to deploy apps directly from GitHub repositories with just a repo URL and no Dockerfiles. Deploy with Git means apps will run without having to painstakingly register an app or stand up a container.
What is CUDOS? The CUDOS Intercloud is a globally decentralized cloud infrastructure that connects developers to scalable, cost-effective distributed resources for running high-performance computing (HPC) servers.
Users select a location and their desired GPU, and Intercloud spins up a virtual machine (VM) that serves as a standard server for content delivery and handling requests.
Redundancy is achieved by spinning up and provisioning multiple VMs, and users must configure their own load balancing (distributing network traffic across multiple servers) to ensure data availability.
CUDOS Network Resources: CPU: 12,000+ processor cores RAM: 26,000 GiB Storage: 575 TB Why Flux Over CUDOS? CUDOS primarily provides servers that deliver static content for processed app data and API requests. Flux’s advantage is that it provides a broader range of services—not just servers but also runtimes (application execution environments) that execute logic.
CUDOS Intercloud VMs require users to manage their own application layers, including OS installation, patching, bug fixes, load scaling, and codebase audits. FluxCloud handles all of that with fully managed deployments, automatically balancing loads and pushing updates and new features.
What is Stratos? Stratos is a decentralized storage network that splits files and documents into encrypted shards and stores them across a distributed network of nodes. Stratos provides storage capacity and bandwidth for data transfers between nodes, enabling high availability for users.
Stratos Network Resources: Storage Capacity: 34.78 PB Storage Nodes: 1,538 Total bandwidth: 150 GB/s Why Flux Over Stratos? Flux’s advantage over Stratos is its complete compute ecosystem, with standardized resource provisioning and extensive hosting capabilities. Whereas Stratos functions exclusively as a storage network, providing capacity, storage nodes, and bandwidth for file transfers.
Stratos is well-suited for decentralized storage and data delivery. Still, if you need an always-on infrastructure for compute scheduling, instance replication for failover, and stable service endpoints, FluxCloud is the right choice.
What is Golem? Golem Network functions similarly to FluxEdge: it’s a decentralized compute marketplace where independent contributors provide resources to the network, which users pay to run app workloads on. Golem is an open-source protocol that allows anyone to join the network as a contributor. Contributors rent out excess compute and earn $GLM tokens for doing so.
Golem Network Resources: Contributors: 1,476 CPU: 10,209 cores (14,521 threads) Golem is built around execute-and-return workloads, in which tasks are submitted to the network in batches for bulk execution. These are short-term workloads that run until completion and involve little human interaction. Golem is ideal for temporary compute tasks, such as pushing an application update, but not for long-term workloads, such as app hosting.
Why Flux Over Golem? Flux’s advantage over Golem is that it’s built around long-term, host-and-serve workloads that run continuously and wait for and respond to external API requests. Host-and-serve workloads are needed to run uninterrupted application hosting.
Additionally, Golem workflows are Docker-centric and require users to convert application Docker images into Golem Virtual Machine Images.
Docker images are blueprints for applications that define all application logic and outline the app’s codebase. Golem offers image packaging that automatically converts Docker images, but users still must configure their own files first.
FluxCloud’s Deploy with Git feature completely bypasses the need for Dockerfiles, allowing users to deploy apps directly from Git repositories. Simply paste a Git URL, click deploy, and let FluxCloud handle your app’s runtime, with new updates and changes to the app repo syncing automatically. No Docker images required.
What is Aethir? Aethir is a decentralized compute network designed for GPU-heavy workloads around AI training and gaming. Rather than offering general-purpose compute for typical daily app workloads, Aethir provides a large pool of distributed GPU resources for complex tasks.
Aethir Network Resources: GPU containers: 440,000+ Geographic footprint: 94 countries, 200+ locations Cumulative compute delivered: 1.2B+ compute hours Why Flux Over Aethir? Flux’s advantage over Aethir is architectural: Aethir focuses on supplying raw GPU power, whereas Flux provides GPU power and the CPU-side components, such as state monitoring and an API layer, that apps need to function.
Most app deployments require more than compute to work; they also require background services that always run and demand continuous resource support, such as:
The API that receives requests User login/authentication Rate limiting (to prevent abuse) Job queues Orchestration (coordinating everything) State Monitoring Databases FluxCloud is built to run this always-on backend service layer, keeping it accessible with automatic failover even when GPUs fail. Flux runs these always-on backend services as replicated instances, so when the primary node executing an app workload goes down, instances are automatically replaced, and workloads are reassigned without restarting.
Aethir excels at providing GPUs, but dev teams can underestimate the critical role of non-GPU infrastructure in app deployments. That’s where Flux takes the lead: it provides complete, resilient systems, GPUs, and all the accompanying backend app services.
Conclusion If there is one takeaway from the state of general-purpose compute networks in 2026, it’s that decentralized resources support very different app runtime models. Akash operates a compute marketplace where capacity is supplied via leased machines.
CUDOS is akin to a traditional VM-based cloud network, where redundancy is built through user-managed instances, and scale is achieved through manual infrastructure tooling.
Stratos is a decentralized storage network; Golem provides compute via a distributed GPU infrastructure; and Aethir supplies raw GPU power for complex AI and gaming tasks.
Compared with Flux, these other compute networks lack holistic runtime capabilities. Whether users are running a temporary workload, an “always-on” backend service that requires continuous compute, a storage container, or a full backend-to-frontend GPU pipeline for app deployment, Flux can deliver.
FluxCloud’s multi-instance hosting and automatic replacement of failed instances are designed to keep long-lived services reachable, maximizing redundancy. Additionally, Deploy with Git enables app deployments directly from Git repositories without requiring manually configured Dockerfiles.
Our network isn’t just a place to buy computing resources; it’s an entire runtime ecosystem for holistic app hosting and operations, from development to deployment. The future runs on Flux.
Online gambling is witnessing a realignment in how players choose where to spend their time and money. The days of settling for the most familiar brand have been replaced by a culture of comparison, research, and informed decision-making that leaves no platform unchallenged regardless of how established its name might be. BetMGM, built on perhaps the most iconic brand in the entire history of casino entertainment, finds itself squarely within this new reality. The platform has not weakened. Its execution remains professional, its backing remains massive, and its brand continues to resonate with cultural authority that no competitor can fabricate. Yet the steady rise in searches for BetMGM alternatives confirms that authority and execution within the traditional framework are no longer enough to satisfy every corner of the market. ZunaBet, a crypto-native casino and sportsbook that launched in 2026, has attracted a growing share of that alternative interest by delivering a product so thoroughly aligned with what modern players want that its appeal feels less like disruption and more like natural progression.
BetMGM: When Heritage Becomes Both Asset and Anchor Table of Contents
BetMGM: When Heritage Becomes Both Asset and AnchorZunaBet: Attracting Interest Through Product Rather Than PedigreeThe Structural Reality of Crypto vs Traditional PaymentsPhysical Luxury vs Digital Dragon EvolutionWhat Growing Interest Signals The MGM name stands alone in casino culture. It evokes the spectacle of Las Vegas, the refinement of world-class hospitality, and the thrill that turned casino gaming into a global entertainment category. BetMGM was conceived to project that identity into digital gambling through a joint venture between MGM Resorts International and Entain. The partnership created a platform that holds licenses across a substantial portion of the US market and operates as one of the most prominent online gambling brands in America.
The product reflects the investment and expertise behind it. The sportsbook provides thorough coverage of NFL, NBA, MLB, NHL, college sports, and a wide selection of international competitions in football, tennis, golf, motorsports, and combat sports. The casino delivers a curated collection of slots, table games, and live dealer experiences from respected providers. The mobile app is polished and regularly maintained. BetMGM uniquely connects its online loyalty program to MGM Rewards, enabling players to earn points convertible to real-world luxury at physical MGM properties — hotel suites, fine dining, shows, and spa treatments.
Payments follow the established playbook. Bank accounts, debit and credit cards, PayPal, and comparable services handle transactions. These conventional methods provide the universal accessibility that a mainstream platform requires.
BetMGM’s heritage is simultaneously its greatest asset and the source of its structural limitations. The brand opens doors that no competitor can. But the architecture built to serve that brand carries the constraints of the era in which it was designed — a curated rather than expansive game library, payment infrastructure subject to traditional banking timelines and fees, and a loyalty program whose most distinctive feature requires physical travel to access. The rising alternative searches reflect an audience that values the asset but has begun looking past the anchor.
ZunaBet: Attracting Interest Through Product Rather Than Pedigree ZunaBet did not inherit a legacy to leverage. It built something new from the ground up for players whose expectations were shaped by experiences that predated no traditional gambling platform. Launched in 2026 by Strathvale Group Ltd, the platform is operated by a team with more than 20 years of combined gambling industry experience. It holds an Anjouan gaming license and is registered in Belize. Every system was designed around cryptocurrency as the foundational infrastructure — the principle that shaped how everything works rather than a feature added to broaden appeal.
The game library provides the most compelling evidence of what building without constraints produces. ZunaBet opened with 11,294 games from 63 distinct providers. That volume surpasses what most veteran operators have assembled across years of continuous operation. Pragmatic Play, Evolution, Hacksaw Gaming, Yggdrasil, and BGaming lead the provider roster, backed by dozens of additional studios contributing content that fills every category with genuine depth.
Hacksaw Gaming At ZunaBet Slots make up the largest share, which is standard across every online casino. ZunaBet distinguishes itself through the richness of everything else. RNG table games cover blackjack, roulette, baccarat, poker across multiple formats, and specialty titles. The live dealer section delivers premium high-definition real-time streaming from top studios, providing immersive experiences that capture the atmosphere of physical casino play. With 63 providers each bringing distinct design philosophies, the catalog achieves genuine diversity of mechanics, visual styles, and gameplay approaches that keeps the platform feeling alive with possibility across months of regular engagement.
That diversity matters because it directly addresses the primary driver of player departure in online gambling — content fatigue. On smaller platforms, players exhaust the interesting content in weeks and drift elsewhere. On ZunaBet, months of consistent activity leave the overwhelming majority of the library still unexplored. Discovery remains a permanent characteristic of the experience rather than a brief introductory phase. That ongoing freshness generates organic retention that no promotional spending can replicate.
Pragmatic Play At ZunaBet The sportsbook operates as a fully realized product alongside the casino. Football, basketball, tennis, NHL, combat sports, and virtual sports receive comprehensive coverage. Esports is elevated to a primary category with full betting markets on CS2, Dota 2, League of Legends, and Valorant. This commitment positions ZunaBet at the intersection of competitive gaming audiences and crypto-native users — two demographics whose substantial overlap traditional operators have consistently underserved.
Over 20 cryptocurrencies are accepted — Bitcoin, Ethereum, USDT across multiple chains, Solana, Dogecoin, Cardano, XRP, and others. No platform processing fees apply. Withdrawals settle through continuously operating blockchain networks in minutes at any time. The purely crypto architecture means no fiat systems create friction underneath. Every transaction follows one consistent path — fast, free, seamless.
ZunaBet Welcome Bonus The welcome bonus totals up to $5,000 plus 75 free spins over three deposits. First deposit earns a 100% match up to $2,000 with 25 free spins. Second deposit receives a 50% match up to $1,500 with 25 spins. Third deposit delivers a 100% match up to $1,500 and 25 final spins. The three-deposit structure encourages sustained engagement over multiple sessions.
ZunaBet uses HTML5 for a dark-themed responsive interface with fast loading across all devices. Native apps serve iOS, Android, Windows, and MacOS. Live chat runs around the clock.
The Structural Reality of Crypto vs Traditional Payments The payment experience gap between crypto-native and traditional platforms produces measurably different outcomes every time a player moves money. This is not a matter of preference. It is a matter of infrastructure.
Traditional platforms process transactions through layered networks of banks, card companies, processors, and wallet services. Each node adds potential time and cost. Deposits arrive at variable speeds. Withdrawals consistently involve extended processing — platform approvals, banking queues operating on business-day schedules, weekend and holiday closures. Total withdrawal timelines stretch from one to five business days. Fees accumulate at different stages from different institutions.
ZunaBet Payments ZunaBet compresses every transaction into a single blockchain event. Initiation to completion takes minutes. No banking intermediaries intervene. No calendar governs timing. Platform fees are zero. The experience operates identically at any hour because blockchains never stop.
Over months of regular activity, cumulative savings in time and money are meaningful. These are permanent structural advantages built into the infrastructure. Every transaction benefits automatically because the efficiency is foundational.
ZunaBet achieves this because no fiat systems run alongside the crypto infrastructure. No hybrid design creates variability. One pure foundation produces one uniformly excellent payment experience.
Physical Luxury vs Digital Dragon Evolution BetMGM’s MGM Rewards integration creates unique value — online points convertible to physical luxury at resort properties. Hotel suites, dining, entertainment, and spa access represent genuine real-world benefits for players who visit those destinations.
For the growing digital-only audience, resort rewards carry limited practical value. ZunaBet designed its loyalty system specifically for this population.
The dragon evolution program structures six tiers — Squire at 1% rakeback, Warden at 2%, Champion at 4%, Divine at 5%, Knight at 10%, and Ultimate at 20%. Each tier delivers escalating digital rewards — free spins building to 1,000 at the top, VIP club access, and double wheel spins. A dragon mascot named Zuno evolves visually with each advancement, creating personal narrative significance.
ZunaBet VIP Levels The mechanics apply video game progression principles refined over decades. Clear levels. Transparent requirements. Meaningfully escalating rewards. Visual transformation making progress personal. Achievement dynamics creating genuine emotional investment. These connect powerfully with the crypto-native demographic raised on progression systems as core entertainment features.
ZunaBet players engage actively — tracking progress, planning around milestones, feeling real accomplishment upon advancing. That emotional participation produces retention fundamentally different from passive point accumulation, even when points connect to physical luxury.
What Growing Interest Signals Growing interest in ZunaBet within the BetMGM alternative conversation signals where the market is heading. BetMGM will continue operating successfully. The MGM heritage, regulatory positioning, Entain partnership, resort integration, and financial resources ensure lasting relevance.
But the market now includes a rapidly expanding segment whose needs fall outside what traditional platforms were designed to address. This segment expects instant fee-free crypto payments. It expects game catalogs deep enough to make content fatigue impossible. It expects esports covered as a genuine primary category. It expects loyalty designed for digital engagement. It expects platforms built for the present.
ZunaBet was built from scratch to deliver all of it. Its catalog competes with the most expansive globally. Its payment system sets benchmarks beyond traditional reach. Its esports serves a massive audience with genuine depth. And its loyalty program replaced the industry’s most neglected element with something players actively enjoy. That is why ZunaBet is attracting growing interest. It meets the market where it actually is rather than where it used to be, and the interest it is attracting reflects a player base that has permanently moved forward.
Disclaimer: This is a Press Release provided by a third party who is responsible for the content. Please conduct your own research before taking any action based on the content.
PANews reported on April 30 that the tokenized stock platform xStocks has been launched on BNB Chain, initially offering more than 50 tokenized US stocks and ETFs, including Apple, Tesla, Nvidia, and the S&P 500 ETF. More than 100 more assets will be added in the coming weeks.
Currently, the tokenized assets are available for trading on PancakeSwap and CowSwap, and will soon be integrated with 1inch. In addition to direct trading, these tokenized shares can also be used as collateral for lending and integrated into structured yield strategies, and will be further integrated with protocols such as Chainlink, Venus Protocol, and Flux in the future.
BNB Chain currently has an on-chain RWA scale of $3.8 billion, approximately 45,000 holders, and a transaction volume of $1.17 billion, making it the second largest RWA public chain.
