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2026-07-22 01:23
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2026-07-21 20:07
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IO: What Is DePIN? Decentralized GPU Compute vs. Centralized Cloud, and Why io.net Leads | CoinGecko News | |
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2026-07-06 06:00
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2026-07-06 03:01
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This week's token unlock overview: Large one-time token unlocks are coming for HYPE, PUMP, APT and others. | CoinGecko News | |
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Original source text
BNY Mellon: Urgency for further Federal Reserve tightening has diminished.Jeff, Senior Macro Strategist at the Bank of New York Mellon, pointed out that weak U.S. labor data and improved inflation metrics have reduced the urgency for the Federal Reserve to implement further monetary tightening. However, this does not resolve lingering questions about whether the growth slowdown is within a controllable range or whether policy expectations have been overly adjusted. He remarked, “The global narrative is growing less unified.” In the U.S., the key question is whether the Federal Reserve can maintain patience without inflation risks reemerging; in Europe, meanwhile, the focus of discussions has shifted from urgent inflation management to issues including economic growth, fiscal credibility, and defense financing. 6 minutes ago Recently, only two whales on Hyperliquid have completed position building for MU, with the average entry price for long positions standing at $1,019. According to Hyperinsight’s monitoring, following the U.S. stock market’s closure for Independence Day last Friday, U.S. stock trading volumes slowed sharply over the weekend, with MU’s 24-hour volume reaching just $99 million. Only one whale built and held a MU (Micron Technology) position on Hyperliquid over the weekend. This whale’s address (0x93c) was created three days ago and currently only engages in long MU trades on Hyperliquid. Approximately three hours ago, the address opened another long position of 1,319.5 MU with 7x leverage, worth roughly $1.33 million, at an average entry price of $1,002 and a liquidation price of $904. Separately, only one whale also opened a MU position during last Friday’s market closure and has held it since. This whale currently holds a long position valued at approximately $8.31 million, with an average entry price of $1,036, and is currently in a slight unrealized loss. 6 minutes ago DeFi protocol Summer Finance hacked, $6 million in losses According to Blockaid's monitoring, DeFi protocol Summer Finance is under ongoing attack, with approximately $6 million in assets stolen so far. 6 minutes ago JPMorgan Chase maintains an "Overweight" rating on Tencent, with a target price of HK$690. JPMorgan said in a report that uncertainties surrounding Tencent’s WeChat AI Agent include whether it can fully integrate into the WeChat platform, the extent of its transaction permissions, and whether Tencent can build a supply system accessible to AI Agents without relying on existing e-commerce platforms to open inventory. With Tencent launching the beta test for WeChat AI Agent in June, the bank has significantly boosted its confidence in the agent’s value creation framework. The Agent service is now sufficiently visible, enabling a clear distinction between its existing components and areas still under development. This has shifted WeChat AI Agent from an AI initiative with no clear timeline to a phased rollout project with observable milestones. The bank believes the initial impact of WeChat AI Agent’s launch on Tencent’s stock price will likely stem from a reduction in risk premium and higher valuation multiples, rather than short-term earnings per share growth. It assigned Tencent an "Overweight" rating, with a target price of HK$690. 6 minutes ago South Korea is pushing forward civil enforcement rules for virtual assets, with plans to allow courts to seize and liquidate crypto assets. South Korea’s Supreme Court has issued a legislative notice for the Partial Amendment to the Civil Execution Rules, which will for the first time bring virtual assets under the scope of civil compulsory enforcement. Following a public comment period, the amended rules are set to take effect on October 1, 2026. Key provisions include: Compulsory enforcement of claims for digital asset transfers (courts may launch enforcement via seizure orders, barring third-party debtors like trading platforms from transferring assets to the debtor, while restricting the debtor from disposing of such claims); Compulsory enforcement of digital assets themselves (courts may seize virtual assets held by the debtor, which will be taken over by enforcement officers, with the debtor prohibited from disposal); Liquidation methods: Seized digital assets can be monetized via transfer orders or auction orders. For assets with low liquidity, conversion into other digital assets prior to auction is allowed. 6 minutes ago Garret Jin increases his short position on ZEC, with the position valued at $14.9 million. According to monitoring by Onchain Lens, Garret Jin, agent of the "BTC OG Insider Whale", has increased his ZEC short position to 32,759.57 ZEC, worth $14.9 million. Garret still holds a 5x leveraged BTC long position valued at $80 million, currently with a loss exceeding $16.38 million. 6 minutes ago |
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2026-06-25 02:39
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2025-10-30 06:30
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What the AWS Outage Revealed — and Why Projects Like Fluence Are Rebuilding Cloud Infrastructure for Web3 | CoinGecko News | |
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What the AWS Outage Revealed — and Why Projects Like Fluence Are Rebuilding Cloud Infrastructure for Web3 |
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2026-06-25 02:11
1mo ago
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2024-10-01 12:00
1yr ago
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Marlin and io.net Collaborate to Advance Confidential AI Computing | CoinGecko News | |
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Table of contentsMarlin and io.net have joined forces to accelerate decentralized AI through confidential computing. This strategic collaboration aims to provide developers with secure and scalable GPU solutions essential for real-world AI adoption in Web3. Marlin disclosed this groundbreaking news to its community through a social media platform, X. Confidential compute for decentralized AI is turning out to be the need of the hour for developers to build the applications for real-world adoption. We’re pumped to be teaming up with @ionet to provide them with the tools needed to make this happen. pic.twitter.com/n7FG0GvP8p — Marlin (@MarlinProtocol) September 30, 2024 Marlin Expands Confidential Computing with GPUs The need for secure and efficient processing has become crucial as AI grows. Training large AI models demands high-performance GPUs like Nvidia H100 and H200, now enhanced with Trusted Execution Environments (TEEs) via Intel TDX. Because of this strategic collaboration, this combination ensures that sensitive data remains protected during the AI model’s lifecycle, giving developers the confidence to establish AI without risking intellectual property. Secure AI Training and Deployment with Marlin’s Oyster Platform Marlin Protocol’s Oyster platform offers developers a secure training environment that protects training data and model weights. Using TEEs, developers can monetize their AI models without exposing sensitive information. At the same time, users interacting with AI applications can verify model integrity without revealing their queries. io.net is crucial in this partnership by providing on-demand access to decentralized GPU clusters. These GPUs, sourced from a global network of crypto miners, developers, and enterprises, are essential for AI/ML operations. This access significantly reduces costs and expands availability, democratizing GPU capacity for developers worldwide. The Marlin-io.net collaboration is poised to redefine how AI models are developed and deployed in decentralized environments. By providing secure, confidential computing tools, this partnership empowers developers to build globally accessible AI applications that respect data privacy and intellectual property rights. AUTHOR Crypto journalist with years of experience providing in-depth analysis and news on blockchain and decentralized finance. With a keen eye for detail, Shahzaib delivers insightful articles that explore the latest trends, market movements, and innovations within the crypto and blockchain ecosystem. His work focuses on educating readers while offering expert commentary on the evolving landscape of digital assets, DeFi protocols, and the broader impact of blockchain technology. |
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2026-06-25 01:22
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2025-09-15 23:00
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3 Made in USA Coins to Watch in the Third Week of September | CoinGecko News | |
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3 Made in USA Coins to Watch in the Third Week of September |
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2026-06-24 23:08
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2024-08-05 15:00
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Analyst Reveals Top Altcoin Picks for H2 2024 | CoinGecko News | |
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Analyst Reveals Top Altcoin Picks for H2 2024 |
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2026-06-24 21:52
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2024-10-05 11:31
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14 Crypto Tokens To Avoid Trading Next Week Amid $213M Token Unlocks | CoinGecko News | |
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The crypto market prepares for an alarming bearish wave as certain altcoins stand primed to face massive token unlocks in the coming week. As per latest data from the Token Unlocks App, Aptos (APT), EigenLayer (EIGEN), Optimism (OP), Neon (NEON), Cardano (ADA), Xai (XAI), Mode (MODE), Ethena (ENA), io.net (IO), Hashflow (HFT), Moonbeam (GLMR), Euler (EUL), Iinch (1INCH), and Forta (FORT) remain poised to face increased supply ahead. This supply surge has raised alarming concerns over the future price action of the abovementioned 14 tokens.14 Crypto Set To Witness Token Unlocks Ahead Per Token Unlocks data, APT, EIGEN, OP, NEON, ADA, XAI, MODE, ENA, IO, HFT, GLMR, EUL, 1INCH, and FORT are set to witness a massive $213 million worth of token unlocks combined. As such, traders need to be wary of investing in these coins as they risk facing downward pressure once the token unlocks occur. 1. Aptos (APT) The crypto Aptos is set to face a cliff unlock of 11.31 million APT, worth $101.22 million, on October 11, the coming week. The massive unlock is equivalent to 2.25% of the coin’s circulating supply. This looming supply surge has raised severe concerns among market participants over the future price run of the token. However, APT price today rested at $8.95, up nearly 1% over the past day. Its intraday low and high were recorded as $8.76 and $9.29, respectively. 2. EigenLayer (EIGEN) The cryptocurrency EigenLayer readies for a cliff unlock of 9.93 million EIGEN, worth $33.67 million, as of October 8. The unlock is equivalent to 5.32% of the coin’s circulating supply, posing a risk to the price. Meanwhile, EIGEN price today traded at $3.39, down 0.59% in the past 24 hours. The coin’s intraday low and high were $3.32 and $3.70, respectively. 3. Optimism (OP) Optimism prepares for an unlock of 12.47 million OP, worth $20.33 million, as of October 10. This unlock is equal to 0.99% of the coin’s circulating supply. OP price today traded at $1.62, up over 4% in the past 24 hours. The coin’s intraday low and high were recorded as $1.54 and $1.63, respectively. 4. Neon (NEON) Simultaneously, data indicated that the crypto Neon is readying for an unlock of 53.91 million NEON, worth $19.66 million, on October 7. The unlock is equivalent to a whopping 93.43% of the total circulating supply, raising alarming concerns among investors. Nevertheless, NEON price today soared nearly 10% to $0.3652. The coin’s intraday low and high were $0.3323 and $0.3647, respectively. 5. Cardano (ADA) Cardano stands primed to witness an unlock of 37.06 million ADA, worth $13.11 million, on October 7. The unlock totals 0.10% of the crypto’s circulating supply. ADA price today gained roughly 1% to reach $0.354. Its 24-hour low and high were registered as $0.3489 and $0.3556, respectively. 6. Xai (XAI) Similarly, Xai stands strong to face an unlock of 35.88 million XAI, worth $7.62 million, on October 9 next week. The unlock totals 6.20% of the token’s circulating supply. XAI price pumped remarkably, nearly 13% in the last 24 hours to $0.212. The coin’s intraday low and high were recorded as $0.187 and $0.2131, respectively. 7. Mode (MODE) MODE is primed to experience an unlock of 500 million MODE, worth $5.64 million, on October 7. This unlock weighs equal to 38.46% of the coin’s circulating supply. MODE price traded at $0.01127 today, up marginally by 0.15% in the past 24 hours. The coin’s 24-hour low and high were registered as $0.01122 and $0.0113, respectively. 8. Ethena (ENA) The crypto Ethena readies for a cliff unlock of 12.86 million tokens, worth $3.87 million, as of October 9. The unlock totals 0.47% of the coin’s circulating supply. Besides, ENA price today gained over 4% to trade at $0.3005. The coin’s intraday low and high were recorded as $0.2844 and $0.3208, respectively. 9. io.net (IO) io.net is set to face a cliff and a linear unlock of 2.11 million and 767.12K IO, respectively, on October 11. The unlock, worth $5.20 million, is equivalent to 3.2% of the coin’s circulating supply. IO price today traded at $1.81, up nearly 6% in the past 24 hours. The coin’s intraday low and high were recorded as $1.67 and $1.84, respectively. 10. Hashflow (HFT) Hashflow remains poised to experience an unlock of 13.85 million HFT, with 13.62 million coins as cliff and 221.4K coins as liner unlocks, on October 7. The unlock reflects 3.04% of the crypto’s total circulating supply. HFT price today jumped over 5% to reach $0.1485. The coin’s 24-hour low and high were $0.1402 and $0.1495, respectively. 11. Euler (EUL) Euler readies for an unlock of 41.17K EUL in cliff and 27.29K EUL in linear, worth $208.79K, as of October 11. This unlock collectively is equivalent to 0.37% of the coin’s circulating supply. EUL price traded at $3.05 today, up nearly 1% in the past 24 hours. The crypto’s intraday low and high were registered as $3 and $3.07, respectively. 12. Moonbeam (GLMR) Moonbeam is standing strong to face the unlock of 3.04 million GLMR, worth $493.53K, on October 11. The unlock is worth 0.34% of the token’s circulating supply. GLMR price today spiked over 1% to trade at $0.162. The coin’s intraday low and high were recorded as $0.1584 and $0.1641, respectively. 13. 1inch (1INCH) 1inch is similarly primed to witness an unlock of 246.43K 1INCH, worth $63.79K, on October 10. This unlock is equivalent to a marginal 0.02% of the total circulating supply. 1INCH price today pumped over 2% to reach $0.2578. The coin’s intraday low and high were recorded as $0.2499 and $0.2608, respectively. 14. Forta (FORT) Forta is bracing for a linear unlock of 2.61 million FORT and a cliff unlock of 50K coins as of October 6. This unlock weighs equal to 0.57% of the coin’s circulating supply. FORT price today is down by 0.5% and is resting at $0.1152. The coin’s intraday low and peak were $0.1151 and $0.1192, respectively. Altogether, token unlocks pose a severe threat to prices, abiding by the law of supply and demand as supply increases. Notably, the unlocks are a phenomenon where previously locked tokens are periodically released into the market. |
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2026-06-24 21:52
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2024-10-06 14:00
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3 Token Unlocks to Watch Next Week | CoinGecko News | |
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Token unlock involves releasing tokens that were previously blocked under fundraising terms. Projects carefully schedule these releases to avoid market pressure and prevent a drop in token prices.However, factors like lack of liquidity or early investor profit-taking can significantly impact an asset’s dynamics. Here are three major unlocks to watch next week. EigenLayer (EIGEN) Unlock date: October 8 Number of tokens unlocked: 9.93 million EIGEN Current circulating supply: 186.58 million EIGEN Ethereum-based restaking protocol EigenLayer kicked off October by listing its EIGEN token on major exchanges. On October 8, the project will unlock nearly 10 million EIGEN, valued at $35.75 million as of this writing. These tokens will be allocated for future community initiatives, so the unlock is unlikely to impact the token’s price. Read more: Ethereum Restaking: What Is it and How Does it Work? EIGEN Unlock. Source: token.unlocksOptimism (OP) Unlock date: October 10 Number of tokens unlocked: 8 million OP Current circulating supply: 1.25 billion OP Optimism is a Layer-2 scaling solution designed to improve the speed and lower the costs of transactions on the Ethereum mainnet. The OP token plays a crucial role in governance, allowing holders to vote on proposals and decisions that shape the network’s development and management. On October 10, Optimism will increase its circulating supply by 8 million OP. According to TokenUnlocks, the project will use these tokens for retroactive public goods funding. Read more: Optimism vs. Arbitrum: Ethereum Layer-2 Rollups Compared OP Unlock. Source: token.unlocksAptos (APT) Unlock date: October 11 Number of tokens unlocked: 11.31 million APT Current circulating supply: 502.84 million APT Aptos is a Layer-1 blockchain designed to provide a secure and scalable infrastructure for decentralized applications. With a focus on security and performance, it incorporates innovative technologies to enhance the blockchain experience. Despite being one of the most successful blockchain projects in recent years, Aptos has faced criticism from the crypto community for its tokenomics, which are heavily influenced by venture capital. A major portion of APT tokens remains locked. On October 11, the project will distribute 11.31 million APT tokens to community members, core contributors, and investors. Read more: Where To Buy Aptos (APT): 5 Best Platforms for 2024 APT Unlock. Source: token.unlocksOther next-week cliff unlocks include Hashflow (HFT), Cardano (ADA), Ethena (ENA), Xai (XAI), and io.net (IO), with a total value exceeding $204 million. While many see token unlocks as bearish, a well-structured schedule can actually support a project’s long-term success. Tied to key milestones and development, unlocks can motivate the team, engage the community, and drive ecosystem growth. |
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2026-06-24 21:40
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2025-11-13 22:19
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IO: How Wondera Scaled AI Music Creation to 200,000 Users with io.net | CoinGecko News | |
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IO: How Wondera Scaled AI Music Creation to 200,000 Users with io.net |
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2026-06-24 21:40
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2025-11-24 20:42
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io.net Benchmarks Reveal Cost-Performance “Sweet Spot” for RTX 4090 Clusters | CoinGecko News | |
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Table of contentsA peer-reviewed paper accepted to the 6th International Artificial Intelligence and Blockchain Conference (AIBC 2025) argues that idle consumer GPUs, exemplified by Nvidia’s RTX 4090, can meaningfully reduce the cost of running large language model inference when used alongside traditional datacenter hardware. Titled Idle Consumer GPUs as a Complement to Enterprise Hardware for LLM Inference, the study from io.net is the first to publish open benchmarks of heterogeneous GPU clusters on the project’s decentralized cloud. The analysis compares clusters of consumer cards against datacenter-grade H100 accelerators and finds a clear cost-performance tradeoff that could reshape how organizations design their inference fleets. According to the paper, clusters built from RTX 4090 GPUs can deliver between 62 and 78 percent of the throughput of H100s while operating at roughly half the cost. For batch workloads or latency-tolerant applications, token costs fall by as much as 75 percent. The researchers underscore that these savings are most compelling when developers can tolerate higher tail latencies or use consumer hardware for overflow and background tasks such as development, batch processing, embeddings generation and large-scale evaluation sweeps. Aline Almeida, Head of Research at IOG Foundation and Lead Author of the study, said, “Our findings demonstrate that hybrid routing across enterprise and consumer GPUs offers a pragmatic balance between performance, cost and sustainability. Rather than a binary choice, heterogeneous infrastructure allows organizations to optimize for their specific latency and budget requirements while reducing carbon impact.” Hybrid GPU Fleets The paper does not shy away from H100s’ strengths: Nvidia’s datacenter cards sustain sub-55 millisecond P99 time-to-first-token performance even at high load, a boundary that keeps them indispensable for real-time, latency-sensitive applications such as production chatbots and interactive agents. Consumer GPU clusters, by contrast, are better suited to traffic that can tolerate extended tail latencies; the authors point to a 200–500 ms P99 window as realistic for many research and dev/test workloads. Energy and sustainability are also part of the calculus. While H100s remain roughly 3.1 times more energy-efficient per token, the study suggests that harnessing idle consumer GPUs can lower the embodied carbon footprint of compute by prolonging hardware lifetimes and leveraging grids that are rich in renewable generation. In short, a mixed fleet can be both cheaper and greener when deployed strategically. Gaurav Sharma, CEO of io.net, said, “This peer-reviewed analysis validates the core thesis behind io.net: that the future of compute will be distributed, heterogeneous, and accessible. By harnessing both datacenter-grade and consumer hardware, we can democratize access to advanced AI infrastructure while making it more sustainable.” Practical guidance from the paper is aimed squarely at MLOps teams and AI developers. The authors recommend using enterprise GPUs for real-time, low-latency routing while routing development, experimentation and bulk workloads to consumer clusters. They report an operational sweet spot in which four-card RTX 4090 configurations hit the best cost per million tokens, between $0.111 and $0.149, while delivering a substantial portion of H100 performance. Beyond the benchmarks, the research reinforces io.net’s mission to expand compute by stitching together distributed GPUs into a programmable, on-demand pool. The company positions its stack, combining io.cloud’s programmable infrastructure with io.intelligence’s API toolkit, as a full solution for startups that need training, agent execution and large-scale inference without the capital intensity of buying solely datacenter hardware. The full benchmarks and methodology are available on io.net’s GitHub repository for those who want to dig into the numbers and reproduce the experiments. The study adds an important, empirically grounded voice to the debate about how to scale LLM deployments affordably and sustainably in the years ahead. AUTHOR Mushumir Butt is a seasoned crypto journalist with over three years of experience reporting on the world of blockchain and cryptocurrency. At Blockchain Reporter, he delivers insightful news, in‐depth project reviews, and precise price analysis and predictions. With a strong background in SEO and digital marketing, Mushumir excels at breaking down complex trends into clear, accessible content, ensuring readers stay ahead in the fast‐paced crypto space. |
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2026-06-24 21:40
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2025-12-03 20:04
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IO: How KayOS Multiplied Its Developer Power by 5x with io.net | CoinGecko News | |
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IO: How KayOS Multiplied Its Developer Power by 5x with io.net |
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2026-06-24 21:40
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2025-12-09 15:59
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IO: How Leonardo.Ai Scaled from 14K to 19M Users While Cutting GPU Costs by 50%+ with io.net | CoinGecko News | |
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IO: How Leonardo.Ai Scaled from 14K to 19M Users While Cutting GPU Costs by 50%+ with io.net |
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2026-06-24 21:40
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2025-12-11 05:27
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io.net plans to implement its demand-driven token economy model, "IDE," in Q2 of next year, and has already released a Litepaper. | CoinGecko News | |
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PANews reported on December 11th that io.net, a decentralized AI computing and cloud platform, has released a simplified white paper (Litepaper) for its Incentive Dynamic Engine (IDE). IDE is a demand-driven token economic model for DePIN, replacing inflation-based token economic models. The white paper introduces a new token economic model designed specifically for io.net, relying on a unique dual-mode architecture to build a healthy and sustainable DePIN network—the Incentive Dynamic Engine (IDE).Currently, there are 300 million IO tokens in circulation under the old incentive mechanism. One of IDE's goals is to gradually reduce at least 50% of these tokens to ensure a healthy and sustainable network. This white paper is part of an iterative process to gather community feedback. The initial feedback collection phase will begin on December 11, 2025, and end in February of the following year. The final lightweight white paper is planned for release on March 31, with implementation scheduled for the second quarter of 2026. |
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2026-06-24 21:40
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2025-12-11 17:00
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IO: io.net Launches the First Adaptive Economic Engine for Decentralized Compute | CoinGecko News | |
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IO: io.net Launches the First Adaptive Economic Engine for Decentralized Compute |
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2026-06-24 21:40
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2025-12-11 17:45
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io.net Unveils Incentive Dynamic Engine (IDE) to Stabilize DePIN Tokenomics | CoinGecko News | |
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Table of contentsio.net, the decentralized physical infrastructure network (DePIN) focused on AI compute, has proposed a major overhaul of its tokenomics with the launch of the Incentive Dynamic Engine (IDE), a demand-driven model designed to anchor long-term stability for suppliers, users and token holders. The redesign, presented this week in a litepaper and backed by a third-party report, moves io.net away from fixed token emissions and toward an automated system that adjusts emissions, buys back tokens and burns a material portion of revenue to reduce inflationary pressure. The announcement comes after io.net’s initial inflationary incentives helped the network scale quickly: since launching in June last year, the platform says it has processed more than $20 million in verifiable compute leases, bootstrapping a global pool of GPUs and proving real usage demand. As the project transitions from a bootstrapping phase into a foundation for enterprise and research workloads, the team argues the old fixed-emissions model risks ongoing inflation and unstable supplier incomes, problems IDE aims to solve. At its heart, IDE replaces a supply-driven rewards schedule with a real-time, demand-driven control system. The mechanism uses two counter-cyclical vaults and a “sustainability ratio” to automatically balance payouts and reserves: when revenue is strong the system keeps tokens in reserve and absorbs circulation, and when demand softens it can release tokens to stabilize USD-equivalent supplier payouts. That coupling of supply adjustments to actual compute usage, the litepaper explains, is intended to make supplier income predictable and the network resilient across market cycles. From Bootstrap to Stability IDE also introduces a substantial, built-in deflationary mechanism. After suppliers are paid, at least 50 percent of the remaining revenue will be used to purchase $IO and permanently burn those tokens; the proposal targets removing 150 million or more $IO from circulation over time. The litepaper frames this not as a one-off stunt but as a structural shift: routing client fees into buybacks and burns aligns investor incentives with real utility rather than pure speculation. The team behind io.net has made the proposal public for community review: a litepaper and supporting documentation are available on the project website, and an open feedback period runs through late February, after which the final design will be published ahead of a planned Q2 2026 rollout to the live network. The company says it has engaged independent auditors and economists to stress-test IDE and that a third-party report from CryptoEconLab (CEL) supports the framework’s core assumptions. Gaurav Sharma, CEO of io.net, said: “We’re at a crucial juncture for AI: continue with centralised hyperscalers underpinned by obscure, circular finance, or build decentralised, open markets for compute. Blockchain can be the solution, but DePINs in their current form are not fit for purpose. IDE introduces a unique approach, one that enables enterprises to adopt decentralized compute by avoiding a fixed emissions model, and is the foundation for the long-term growth of io.net. GPU providers, users and investors will benefit from the first reliable and open compute network, accurately aligning incentives. Following its implementation next year, IDE will enable startups, researchers and enterprises to develop and deploy AI systems on io.net for the long term.” If implemented as designed, the shift would be a notable experiment in DePIN tokenomics: instead of continual, schedule-based token issuance, io.net would operate a feedback-controlled economy in which emissions, burns and reserves respond to measurable network activity. The firm argues this model reduces income volatility for providers, rewards real world utility, and creates a more durable market for large-scale AI workloads, from startups to enterprise deployments. The litepaper, IDE technical appendix and the community feedback form are linked from io.net’s tokenomics page for anyone who wants to dig into the math and governance considerations. io.net says it will actively review community comments through the consultation window, publish a final version at the end of March, and then move to implement the redesigned tokenomics in the second quarter of 2026. AUTHOR Mushumir Butt is a seasoned crypto journalist with over three years of experience reporting on the world of blockchain and cryptocurrency. At Blockchain Reporter, he delivers insightful news, in‐depth project reviews, and precise price analysis and predictions. With a strong background in SEO and digital marketing, Mushumir excels at breaking down complex trends into clear, accessible content, ensuring readers stay ahead in the fast‐paced crypto space. |
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2026-06-24 21:40
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2025-12-25 00:53
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Nvidia Absorbs Another Rival for $20B, Boosting Decentralized AI | CoinGecko News | |
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NVIDIA has agreed to pay approximately $20 billion to acquire assets from artificial intelligence chip startup Groq, marking the company’s largest transaction on record and continuing its strategy of absorbing potential competitors before they can challenge its market dominance.The chipmaker’s latest licensing deal mirrors a similar transaction just three months ago, reinforcing the narrative that decentralized AI infrastructure may offer the only alternative to Nvidia’s growing dominance. Threefold Premium in Three Months with Trump Jr. ConnectionThe deal closed just three months after Groq raised $750 million at a $6.9 billion valuation—a round that included BlackRock, Samsung, Cisco, and 1789 Capital, where Donald Trump Jr. serves as a partner. Nvidia is acquiring all of the company’s assets substantially, except its cloud computing business, though Groq framed the transaction as a “non-exclusive licensing agreement.” Groq CEO Jonathan Ross, a former Google engineer who helped create the search giant’s Tensor Processing Unit, will join Nvidia along with president Sunny Madra and other senior executives. The startup will continue operating independently under CFO Simon Edwards as its new chief executive. A Repeating PlaybookThe Groq transaction follows a pattern Nvidia established just three months earlier. In September, the company paid over $900 million to hire Enfabrica’s CEO and employees while licensing the startup’s technology. Both deals use licensing structures rather than outright acquisitions, potentially avoiding the antitrust scrutiny that blocked Nvidia’s $40 billion bid for Arm Holdings in 2022. The Kobeissi Letter summarized Nvidia’s approach bluntly: “We will buy you before you can compete with us.” Technical Edge and Competitive PressureGroq’s Language Processing Unit uses on-chip SRAM rather than external DRAM, enabling what the company claims is up to 10x better energy efficiency. This architecture excels at real-time inference but limits model size—a tradeoff Nvidia can now explore within its broader ecosystem. The timing is notable. Google recently unveiled its seventh-generation TPU, codenamed Ironwood, and released Gemini 3, trained entirely on TPUs, to top benchmark rankings. Nvidia responded on X: “We’re delighted by Google’s success… NVIDIA is a generation ahead of the industry—it’s the only platform that runs every AI model.” When incumbents start issuing such reassurance statements, competitive pressure is clearly mounting. Implications for Decentralized AIWhile the deal has no direct impact on cryptocurrency markets, it reinforces the narrative driving decentralized AI computing projects. Platforms like io.net position themselves as alternatives to centralized AI infrastructure. “People can put their own supply onto a network, whether that’s data centers or yourself with your laptop, contributing your available GPU power, and getting fairly compensated for it using tokenomics,” Jack Collier, io.net’s Chief Growth Officer, told BeInCrypto. The platform claims enterprise clients, including Leonardo.ai and UC Berkeley, have achieved significant cost savings. However, the gap between narrative and reality remains wide. Nvidia’s acquisition of Groq’s low-latency technology further extends its technical lead, making it harder for any alternative to offer competitive performance. The transaction also raises questions about independent AI chip development. Cerebras Systems, another Nvidia competitor preparing an IPO, may eventually face similar pressure. Whether it can remain independent or succumb to Nvidia’s financial gravity remains to be seen. |
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2026-06-24 21:40
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2026-01-09 16:38
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IO: 2025: io.net Year in Review | CoinGecko News | |
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IO: 2025: io.net Year in Review |
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2026-06-24 21:40
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2026-03-09 10:11
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IO: How to build and scale GPU clusters on io.net: A practical guide | CoinGecko News | |
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IO: How to build and scale GPU clusters on io.net: A practical guide |
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2026-06-24 21:40
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2026-03-25 12:51
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IO: Compute for agents, by agents: Introducing io.net's Agent Cloud | CoinGecko News | |
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IO: Compute for agents, by agents: Introducing io.net's Agent Cloud |
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2026-06-24 21:40
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2026-04-07 13:25
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IO: io.net is turning on the lights | CoinGecko News | |
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IO: io.net is turning on the lights |
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2026-06-24 21:40
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2026-04-23 09:18
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IO: GPU cluster cheat sheet: Everything you need to deploy multi-GPU workloads on io.net | CoinGecko News | |
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IO: GPU cluster cheat sheet: Everything you need to deploy multi-GPU workloads on io.net |
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2026-06-24 21:40
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2026-05-13 12:36
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IO: io.net vs Akash Network: Comparing GPU cloud pricing and features | CoinGecko News | |
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IO: io.net vs Akash Network: Comparing GPU cloud pricing and features |
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2026-06-24 21:40
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2026-05-30 01:37
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The AI Super Cycle Drives a Computing Power Shortage, with Render and Bittensor Emerging as Key Beneficiaries | CoinGecko News | |
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Rubio: US and Iran to continue technical consultations at the end of this monthMultiple foreign media outlets reported on the 24th that US Secretary of State Rubio said technical teams from the United States and Iran will hold further talks in Switzerland by the end of June. (Xinhua News Agency) 5 hours ago Over the past 24 hours, total crypto market liquidations hit $606 million, with more than 130,000 traders liquidated. According to Coinglass data, the global cryptocurrency market recorded $606 million in liquidations over the past 24 hours, including $542 million in long-position liquidations and $68.22 million in short-position liquidations. A total of 135,785 traders worldwide were liquidated in the same period, with the largest single liquidation order occurring on Binance’s BTCUSDT trading pair, valued at $12.0111 million. 5 hours ago Bitcoin falls below $60,000 According to HTX market data, Bitcoin has fallen below $60,000, with a 4.3% drop in the past 24 hours. 5 hours ago US Treasury Secretary: AI boom may boost productivity and help curb inflation. US Treasury Secretary Bessent told CNBC in an interview that he hopes the Federal Reserve will remain "open-minded" about the inflation pattern after the reversal of Iran-related energy price hikes. Bessent noted that the U.S. could enter an economic environment marked by high GDP growth without a corresponding rise in traditional inflation. He cited that in the 1990s, Alan Greenspan foresaw that office modernization and the internet could drive non-inflationary growth, and allowed the economy to keep expanding. Bessent believes the U.S. has a strong chance of seeing a similar scenario again. When asked whether the Fed still needs to worry about potential inflation and whether interest rate cuts are possible this year or next, Bessent declined to comment. However, he argued that it is necessary to stay open-minded about the price or inflation impacts from the Iran conflict, and monitor inflation performance after those effects subside. Bessent also said an open mind is needed, as the AI boom could boost productivity and deliver disinflationary effects, helping inflation return to the Fed’s target level. He added that he believes Kevin Warsh will choose the optimal path that meets both the Fed’s inflation and growth mandates. Bessent also noted that Warsh previously took a hawkish stance on inflation. 5 hours ago US stocks' intraday storage sector sees broad declines, with Western Digital and Seagate Technology both falling over 4%. According to Bitget data, during U.S. stock trading hours, the storage sector saw broad declines: Western Digital (WDC) fell 4.47%, Seagate Technology (STX) dropped 4.17%, SanDisk (SNDK) declined 2.31%, and Micron Technology (MU) edged down 0.96%. Most optical communication concept stocks rose, with Corning (GLW) leading the gains at 9.75%, followed by Ciena (CIEN) up 3.24%, Coherent (COHR) rising 2.93%, Lumentum (LITE) gaining 2.61%, and Nokia (NOK) advancing 1.82%. Additionally, Marvell Technology (MRVL) fell 2.59% and Applied Optoelectronics (AAOI) declined 1.90%. 5 hours ago During intraday trading in U.S. stocks, crypto-related concept stocks fell broadly, with MSTR dropping more than 7%. According to Bitget market data, the three major U.S. stock indexes rose broadly: the Dow Jones Industrial Average gained 0.94%, the S&P 500 increased 0.60%, and the Nasdaq rose 0.63%. Crypto-related stocks fell across the board, with declines as follows: Strategy (MSTR) down 7.33%; Circle (CRCL) down 4.35%; Bitmine (BMNR) down 3.97%; Coinbase (COIN) down 3.73%; Robinhood (HOOD) down 3.70%; Gemini (GEMI) down 3.27%; Bullish (BLSH) down 3.25%; Sharplink (SBET) down 3.19%. 5 hours ago |
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2026-06-24 21:40
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2026-06-01 10:39
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IO: How Wondera Scaled AI Music Creation to 200,000 Users with io.net | CoinGecko News | |
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IO: How Wondera Scaled AI Music Creation to 200,000 Users with io.net |
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2026-06-24 21:40
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2026-06-09 08:06
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IO: io.net on Solana: The place for DePIN | CoinGecko News | |
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IO: io.net on Solana: The place for DePIN |
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2026-06-24 21:40
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2026-06-11 13:14
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THE BLOCK: The Incentive Dynamic Engine: io.net's Shift to Sustainable Tokenomics | CoinGecko News | |
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THE BLOCK: The Incentive Dynamic Engine: io.net's Shift to Sustainable Tokenomics |
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2026-06-24 21:40
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2026-06-12 11:15
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io.net unveils revenue backed token burn targeting 12M IO tokens | CoinGecko News | |
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io.net has launched a new token burn mechanism tied directly to network revenue and said the model could remove up to 12 million IO tokens from circulation over the next year, as the decentralized GPU provider reports rising enterprise demand and record AI inference activity.Summary io.net expects to burn up to 12 million IO tokens over the next year under a new revenue linked tokenomics model. An $8 million enterprise contract and more than 4 billion daily AI inference tokens have pushed network earnings to record levels, according to the company. Supplier payouts are now tied to a stable U.S. dollar value, while at least 50% of post payout network revenue in IO tokens will be permanently burned. According to a press release shared with crypto.news, the first burn was scheduled for June 11, coinciding with the network’s third anniversary, with future burns funded by revenue generated from customer usage rather than new token issuance. io.net ties token burns to network revenue Details released by io.net show that at least 50% of post-payout network revenue received in IO tokens will be permanently destroyed under what the company calls its Incentive Dynamic Engine, or IDE. Based on current earnings and its commercial pipeline, the company expects as many as 12 million tokens to be burned during the system’s first year. The announcement comes as io.net reports its strongest commercial period to date. The company disclosed that it has signed an $8 million enterprise agreement, its largest contract so far, which it said contributes roughly $650,000 in monthly on-chain network earnings. Additional enterprise deals are currently progressing through advanced negotiation stages, according to the company. Beyond enterprise adoption, io.net said it has become the largest decentralized physical infrastructure network, or DePIN, based inference provider on OpenRouter, an AI model routing platform used by developers to access multiple artificial intelligence models. Company figures show the network now processes more than 4 billion inference tokens each day while competing alongside centralized cloud computing providers. Those developments arrive as demand for AI computing resources continues to climb. Citing industry spending trends, io.net noted that major technology companies have committed more than $500 billion toward AI infrastructure projects across 2025 and 2026. The company argued that access to high-performance graphics processing units remains limited by hyperscaler capacity constraints and pricing structures, creating opportunities for decentralized alternatives. New model seeks to stabilize supplier earnings Alongside the burn program, io.net said the IDE has been designed to address supplier retention challenges commonly faced by token-based infrastructure networks. Under the framework, supplier payouts are linked to a stable U.S. dollar value rather than fluctuating token prices. According to the company, reserve mechanisms absorb market volatility, allowing providers to maintain predictable earnings even during periods of token price weakness. CryptoEcon Lab, a tokenomics research firm that independently evaluated the system, tested the model under several stress scenarios. The firm found supplier returns remained stable during simulations that included a 55% drop in demand and a 50% decline in token price, according to results cited by io.net. “Most token economies in our space are still built around the hope that prices go up. Ours is built around the certainty that people are paying to use the network. That’s a fundamentally different foundation,” said Gaurav Sharma, chief executive officer of io.net. Looking beyond current operations, io.net said it is also developing capabilities that would allow AI agents to autonomously source and manage computing resources through its Agent Cloud platform. The company described the initiative as part of its effort to build a self-sustaining on-chain compute economy supported by decentralized infrastructure providers around the world. |
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2026-06-24 21:35
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2024-06-14 11:14
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GPU Gold Rush: Top DePin Projects Transforming AI Infrastructure Revealed | CoinGecko News | |
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In the artificial intelligence (AI) sector, the demand for high-performance computing resources, especially Graphic Processing Units (GPUs), is skyrocketing. This demand is shaping a new frontier for the Decentralized Physical Infrastructure (DePin) projects, which focus on decentralizing access to GPUs.These platforms facilitate broader Web 3 adoption and offer a cost-effective alternative to traditional cloud services. What Are Top GPU-Powerhouse DePin Projects?Operating through several key stages—data collection and processing, model training, fine-tuning, and model inference—these platforms support a wide range of AI applications. These applications include deep learning, autonomous driving, robotics, and other use cases. Crypto researcher Layergg notes that DePin projects can provide GPU resources “over 4 times cheaper” than giants like Google Cloud and Amazon Web Services (AWS). Layergg highlights six leading projects in this space. Render (RNDR) boasts a fully diluted valuation (FDV) of $4.8 billion and over 1,000 GPUs. Io.net (IO) has over 22,000 GPUs and an FDV of $4.5 billion. Aethir (ATH) has a GPU capacity topping 40,000 and an FDV of $3.3 billion. Akash (AKT) has an FDV of $1.4 billion and 400 GPUs. Netmind (NMT) has 1,956 GPUs and a $1 billion FDV. Nosana (NOS) has an FDV of $360 million and 500 GPUs. Read more: Render Token (RNDR): A Guide to What It Is and How It Works Comparison of DePin GPU Projects. Source: LayerggThe decentralized computing model provides a significant cost advantage, thus making it an attractive option for AI/ machine learning enterprises that struggle with the high costs of GPU resources. Consequently, there is an increased emphasis on computational power as the primary bottleneck to AI progress. However, challenges such as transparency in GPU power claims have raised concerns. This points to a broader issue of credibility and accountability in the decentralized computing space. “It’s CePIN.. not DePin if you really can’t prove your GPU count on-chain,” on-chain analyst Hitesh Malviya critiqued. Despite these challenges, the potential for decentralized platforms to dominate the market remains high. Furthermore, another analyst, Prithvir believes that among the projects, Aethir, Akash, and io.net are best positioned. However, he notes that Akash, despite being a stalwart in the space, faces challenges in expanding its GPU capacity compared to its counterparts. Read more: Which Are the Best Altcoins To Invest in June 2024? In terms of market dynamics, IO and ATH are viewed as potential high performers. “I believe that IO and ATH could both see massive runs. I think these could be similar trades to Celestia (TIA). $10 billion FDV could be a reasonable ceiling for IO and ATH. The upper limit would be $20 billion,” Prithvir said. |
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2026-06-24 21:35
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2024-06-17 05:35
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DePin Projects Thrive on Solana: Render, Helium, and More Lead the Charge | CoinGecko News | |
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DePin Projects Thrive on Solana: Render, Helium, and More Lead the Charge |
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2026-06-24 21:35
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2024-07-01 07:48
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Crypto Analysts Discuss Top Altcoins For DePin Supercycle | CoinGecko News | |
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Anticipation is mounting as crypto analysts foresee a decentralized physical infrastructure network (DePin) supercycle. This surge, driven by advancements in Web3 and artificial intelligence (AI) technologies, is reminiscent of the Internet’s rapid adoption in the early 1990s.With DePin leading the charge, a transformative era seems imminent. Which Are Top Altcoins For DePin Supercycle?After Bitcoin hit an all-time high in March, the crypto market has been choppy. Many believe that a supercycle will be imminent once Bitcoin ends its consolidation period. “A DePin supercycle is upon us. We are entering a golden age where Web3 projects significantly enhance the growth of Web2 platforms,” crypto researcher Emperor Osmo said. His sentiment is widely shared, with DePin poised to decentralize real-world applications that have been dominated by major firms like Amazon Web Services (AWS), Google Cloud, and Cloudflare. Read more: What Is DePIN (Decentralized Physical Infrastructure Networks)? Moreover, the DePin market is currently most active in the AI sector, which is undergoing exponential growth. As AI models become increasingly complex, the demand for GPUs has surged. Hence, Emperor Osmo believes that projects like io.net (IO) and Aethir (ATH) are crucial in securing substantial market shares early on. These platforms are thriving by replicating the network effects observed in Web2 successes, such as Uber and Airbnb. Cyril, a DeFi analyst, also talks about the potential of integrating DePin with AI. He specifically points to altcoins poised to make significant impacts during 2024’s altcoin season. Helium’s MOBILE token is at the top of his list. However, the token has been down by nearly 70% since its March 2024 highs. Helium Mobile (MOBILE) Price Performance. Source: TradingViewNext are OriginTrail’s TRAC token and Nosana’s NOS token. Both are crucial in developing infrastructures for trusted knowledge and open-source cloud computing markets dedicated to AI, respectively. Although their smaller market caps suggest higher volatility, the foundational technologies they pioneer are vital for the DePin ecosystem. Furthermore, Theta Network’s THETA token and the Graph Protocol’s GRT token are noteworthy. Theta Network is transforming decentralized video streaming. Meanwhile, The Graph is organizing blockchain data to enhance accessibility—a key component for developing efficient Web3 applications. Read more: The Graph (GRT) Price Prediction 2024/2025/2030 Altcoin Daily has also provided a list of DePin altcoins worth monitoring, including Render (RNDR) and Filecoin (FIL). Each contributes uniquely to the DePin infrastructure, highlighting the sector’s diversity. These tokens highlight the growing integration of blockchain technology in real-world applications. In an interview with BeInCrypto, Odeta Iseviciute, the COO at NeurochainAI, discussed other promising DePin altcoins. “Many good projects have jumped on this trend. In addition to seemingly the biggest players in AI compute market that boast of large numbers of GPUs connected, we have quite a few interesting projects to watch. Gensyn is trying to fundamentally change the way the compute is done on an internet protocol level. Akash Network and GPU.net are both hard at work connecting GPUs and onboarding customers. We also have projects like Grass which aims to utilize the unused internet for scraping and training AI models,” Iseviciute told BeInCrypto. |
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