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AI + Crypto Infrastructure (DeSci & GPU)The convergence of Artificial Intelligence (AI) and Crypto Infrastructure is transitioning from speculation to tangible "invoices and infrastructure" (DePIN), focusing on decentralized GPU power and on-chain scientific collaboration (DeSci). The sector aims to solve the bottlenecks of AI's insatiable compute demand and centralized scientific funding by creating transparent, community-owned networks. 1. BIO Protocol (DeSci): Decentralizing Scientific Discovery  BIO Protocol functions as a financial and operational layer for decentralized science (DeSci), allowing researchers, patients, and investors to collectively fund and own biotech projects through BioDAOs (e.g., VitaDAO for longevity).  AI + DeSci Convergence: BIO Protocol uses on-chain "BioAgents" (e.g., AUBRAI, BIOS) to automate scientific work, such as scanning literature, generating hypotheses, and interacting with lab automation.Tokenized IP (IPTs): BIO enables the tokenization of research assets (IP-NFTs), turning traditionally illiquid scientific property into tradeable assets.Real-World Traction: As of April 2026, the protocol has over 29,000 token holders, over $50M+ Total Value Locked (TVL), and backing from firms like Binance Labs and Pfizer Ventures.Key Innovation: BioAgents have demonstrated the capability to design novel peptides for disease treatment (e.g., ADHD) in 24 hours, with wet lab validation running under $1,500, a significant reduction in time and cost compared to traditional pharma. 2. GAIB (GPU Computing): The Economic Layer for AI Assets  GAIB is pioneering the financialization of AI infrastructure, turning physical assets like NVIDIA H200 GPUs and AI-driven robotics into yield-bearing tokens. It bridges DeFi liquidity with physical AI infrastructure, known as RWAiFi (Real World Assets + AI + DeFi).  Real Yield vs. Inflation: Unlike many crypto projects, GAIB delivers real yields sourced from actual GPU utilization revenues, such as renting compute power to cloud providers.5-Layer Architecture: The platform uses a modular approach (LIQUID, REWARD, ONRAMP, PROOF, NETWORK) to validate, tokenizes, and financializes assets with institutional-grade security.Key Products:AID: An AI Synthetic Dollar used as a base currency for accessing GAIB's AI infrastructure portfolio.sAID: A staked, liquid receipt token representing proportional shares in GPU/robotics financing deals.Operational Traction: GAIB has reported over $50 million in deployed assets, with a partnership pipeline exceeding $2.5 billion.  3. Analysis of the Trend The growth of on-chain AI computing is driven by the urgent need to break the monopolization of compute resources by big tech firms (AWS, Azure). Decentralized Compute (e.g., GAIB, io.net) Primary Goal: Democratize access to GPU power. Asset Type: Physical GPUs, Compute Time. Yield Source: Rental income from AI training/inference Key Benefit: Reduced cost, censorship resistance. Decentralized Science (e.g., BIO) Primary Goal: Democratize funding & research. Asset Type: Intellectual Property (IP-NFTs). Yield Source: Commercialization of biotech/patents. Key Benefit: Faster research, patient-driven R&D. Future Trends (2026-2030): ZKML Acceleration: Zero-knowledge machine learning (ZKML) is becoming crucial to allow on-chain verification of off-chain AI inference, ensuring that AI-generated scientific results (DeSci) are trustless.Agent Economy: The rise of AI Agent Memes and autonomous scientific agents (BioAgents) will create a new, on-chain economy where AI agents own, stake, and use tokens.Compute-to-Data: Rather than moving vast amounts of data, future AI protocols will bring computing to the data, utilizing confidential computing to keep sensitive data private while enabling collaborative training. Challenges: Regulatory Uncertainty: Tokenizing IP and RWA (real-world assets) faces regulatory scrutiny in many jurisdictions.Inference Costs: On-chain verification of AI (ZKML) is currently expensive and limited to lightweight models, though hardware acceleration is improving this.Interoperability: Seamlessly connecting decentralized GPU networks with specialized DeSci protocols for seamless on-chain scientific workflows is still in its infancy.  #DeSci #GPU $BIO $AI

AI + Crypto Infrastructure (DeSci & GPU)

The convergence of Artificial Intelligence (AI) and Crypto Infrastructure is transitioning from speculation to tangible "invoices and infrastructure" (DePIN), focusing on decentralized GPU power and on-chain scientific collaboration (DeSci). The sector aims to solve the bottlenecks of AI's insatiable compute demand and centralized scientific funding by creating transparent, community-owned networks.
1. BIO Protocol (DeSci): Decentralizing Scientific Discovery 
BIO Protocol functions as a financial and operational layer for decentralized science (DeSci), allowing researchers, patients, and investors to collectively fund and own biotech projects through BioDAOs (e.g., VitaDAO for longevity). 
AI + DeSci Convergence: BIO Protocol uses on-chain "BioAgents" (e.g., AUBRAI, BIOS) to automate scientific work, such as scanning literature, generating hypotheses, and interacting with lab automation.Tokenized IP (IPTs): BIO enables the tokenization of research assets (IP-NFTs), turning traditionally illiquid scientific property into tradeable assets.Real-World Traction: As of April 2026, the protocol has over 29,000 token holders, over $50M+ Total Value Locked (TVL), and backing from firms like Binance Labs and Pfizer Ventures.Key Innovation: BioAgents have demonstrated the capability to design novel peptides for disease treatment (e.g., ADHD) in 24 hours, with wet lab validation running under $1,500, a significant reduction in time and cost compared to traditional pharma.
2. GAIB (GPU Computing): The Economic Layer for AI Assets 
GAIB is pioneering the financialization of AI infrastructure, turning physical assets like NVIDIA H200 GPUs and AI-driven robotics into yield-bearing tokens. It bridges DeFi liquidity with physical AI infrastructure, known as RWAiFi (Real World Assets + AI + DeFi). 
Real Yield vs. Inflation: Unlike many crypto projects, GAIB delivers real yields sourced from actual GPU utilization revenues, such as renting compute power to cloud providers.5-Layer Architecture: The platform uses a modular approach (LIQUID, REWARD, ONRAMP, PROOF, NETWORK) to validate, tokenizes, and financializes assets with institutional-grade security.Key Products:AID: An AI Synthetic Dollar used as a base currency for accessing GAIB's AI infrastructure portfolio.sAID: A staked, liquid receipt token representing proportional shares in GPU/robotics financing deals.Operational Traction: GAIB has reported over $50 million in deployed assets, with a partnership pipeline exceeding $2.5 billion. 
3. Analysis of the Trend
The growth of on-chain AI computing is driven by the urgent need to break the monopolization of compute resources by big tech firms (AWS, Azure).
Decentralized Compute (e.g., GAIB, io.net)
Primary Goal: Democratize access to GPU power.
Asset Type: Physical GPUs, Compute Time.
Yield Source: Rental income from AI training/inference
Key Benefit: Reduced cost, censorship resistance.
Decentralized Science (e.g., BIO)
Primary Goal: Democratize funding & research.
Asset Type: Intellectual Property (IP-NFTs).
Yield Source: Commercialization of biotech/patents.
Key Benefit: Faster research, patient-driven R&D.
Future Trends (2026-2030):
ZKML Acceleration: Zero-knowledge machine learning (ZKML) is becoming crucial to allow on-chain verification of off-chain AI inference, ensuring that AI-generated scientific results (DeSci) are trustless.Agent Economy: The rise of AI Agent Memes and autonomous scientific agents (BioAgents) will create a new, on-chain economy where AI agents own, stake, and use tokens.Compute-to-Data: Rather than moving vast amounts of data, future AI protocols will bring computing to the data, utilizing confidential computing to keep sensitive data private while enabling collaborative training.
Challenges:
Regulatory Uncertainty: Tokenizing IP and RWA (real-world assets) faces regulatory scrutiny in many jurisdictions.Inference Costs: On-chain verification of AI (ZKML) is currently expensive and limited to lightweight models, though hardware acceleration is improving this.Interoperability: Seamlessly connecting decentralized GPU networks with specialized DeSci protocols for seamless on-chain scientific workflows is still in its infancy. 
#DeSci #GPU $BIO $AI
$CHIP 空空空!住皇宫!这个币叙事真好,正好对应算力大热以及紧缺,短空一手,说不定要爆拉。算力币有了,存储币和电力币还会远吗?
$CHIP 空空空!住皇宫!这个币叙事真好,正好对应算力大热以及紧缺,短空一手,说不定要爆拉。算力币有了,存储币和电力币还会远吗?
Bittensor $TAO is starting to look less like a standalone play and more like the control layer in the same stack where #Render and #Qubic operate. $RENDER and #Qubic are both fighting over who provides the horsepower: $RENDER aggregates #GPU supply and already plugs directly into real AI/render demand. {spot}(RENDERUSDT) #Qubic is experimenting with extreme throughput and a mining model tied to useful compute {spot}(TAOUSDT)
Bittensor $TAO is starting to look less like a standalone play and more like the control layer in the same stack where #Render and #Qubic operate.

$RENDER and #Qubic are both fighting over who provides the horsepower:

$RENDER aggregates #GPU supply and already plugs directly into real AI/render demand.

#Qubic is experimenting with extreme throughput and a mining model tied to useful compute
#CHIP #USDAI #AI基建 #GPU #借贷 $0.042,24小时涨27.56%,市值3.46亿。 USD.AI这个做AI基础设施借贷的,Q1刚发币。用GPU做抵押借贷,方向是对的,AI算力需求爆发,GPU就是硬通货。 期货成交量5591万,持仓量1142万。数据还算健康,没有那种极端的杠杆比例。 100亿枚全流通,没有解锁压力。这点很重要,不用担心团队砸盘。 AI借贷是个好赛道,但竞争激烈。CHIP能不能跑出来,要看实际业务数据。现在热度有了,但能不能持续要看产品。 目前看还算稳健,但新币风险always存在。小仓位参与可以,重仓需谨慎。 $CHIP {future}(CHIPUSDT)
#CHIP #USDAI #AI基建 #GPU #借贷
$0.042,24小时涨27.56%,市值3.46亿。
USD.AI这个做AI基础设施借贷的,Q1刚发币。用GPU做抵押借贷,方向是对的,AI算力需求爆发,GPU就是硬通货。
期货成交量5591万,持仓量1142万。数据还算健康,没有那种极端的杠杆比例。
100亿枚全流通,没有解锁压力。这点很重要,不用担心团队砸盘。
AI借贷是个好赛道,但竞争激烈。CHIP能不能跑出来,要看实际业务数据。现在热度有了,但能不能持续要看产品。
目前看还算稳健,但新币风险always存在。小仓位参与可以,重仓需谨慎。
$CHIP
🚨 NVIDIA JUST BETRAYED THE PEOPLE WHO BUILT THEM. Gamers made NVIDIA a $3 trillion company. Now NVIDIA is making them pay for it. While Jensen Huang courts Microsoft, Meta, and Google with AI chips the GeForce shelf is getting thinner and the price tags are getting uglier. Supply is shrinking. Demand isn't. You do the math. The GPU that used to cost $400 now costs $800. And NVIDIA's response? Silence. Because the data center customer spending $500M doesn't care about your 1080p gaming rig. This isn't an accident. It's a pivot. NVIDIA has quietly reclassified itself. It is no longer a gaming company that does AI. It is an AI company that tolerates gaming. The loyal base that bought every generation the modders, the streamers, the builders is now a rounding error on an earnings call. And the worst part? There's no real alternative yet. AMD is trying. Intel is crawling. But NVIDIA knows it. That's why there's no apology, no adjustment, no acknowledgment. They don't need you anymore. The question is what do you do when the company that sold you the dream starts selling the dream to someone else? #NVIDIA #GPU #AIStocks #GamingPC #CryptoTwitter
🚨 NVIDIA JUST BETRAYED THE PEOPLE WHO BUILT THEM.
Gamers made NVIDIA a $3 trillion company.
Now NVIDIA is making them pay for it.
While Jensen Huang courts Microsoft, Meta, and Google with AI chips the GeForce shelf is getting thinner and the price tags are getting uglier.
Supply is shrinking. Demand isn't. You do the math.
The GPU that used to cost $400 now costs $800. And NVIDIA's response? Silence. Because the data center customer spending $500M doesn't care about your 1080p gaming rig.
This isn't an accident. It's a pivot.
NVIDIA has quietly reclassified itself. It is no longer a gaming company that does AI. It is an AI company that tolerates gaming.
The loyal base that bought every generation the modders, the streamers, the builders is now a rounding error on an earnings call.
And the worst part?
There's no real alternative yet. AMD is trying. Intel is crawling. But NVIDIA knows it. That's why there's no apology, no adjustment, no acknowledgment.
They don't need you anymore.
The question is what do you do when the company that sold you the dream starts selling the dream to someone else?
#NVIDIA #GPU #AIStocks #GamingPC #CryptoTwitter
Tired of paying $100/hour for GPUs on AWS? Here’s why GPUnet might just replace traditional cloud for good. A straight-up comparison 👇 ⸻ 1. Cost • GPUnet: ~70% cheaper than AWS (Barrels of Compute = $500 of power at 1/3rd the price). • AWS / GCP / Azure: Extremely high hourly GPU costs, often unaffordable for startups and independent creators. Why? GPUnet removes middlemen and uses a peer-to-peer marketplace. ⸻ 2. Accessibility • GPUnet: Permissionless. Anyone can rent or provide GPUs. • AWS / GCP / Azure: Require KYC, credit cards, and enterprise-level onboarding. Why? GPUnet is built on-chain—open access for all. ⸻ 3. Decentralization • GPUnet: Decentralized network of GPU providers, validators, and builders. • AWS / GCP / Azure: Centralized servers run by corporations. Why it matters: GPUnet can’t be shut down, censored, or monopolized. ⸻ 4. Incentives & Ownership • GPUnet: Users earn $GPU by participating (validating, providing, building). • AWS / GCP / Azure: You only pay—no ownership, no upside. Why? GPUnet aligns economic incentives with usage. ⸻ 5. Innovation Layer • GPUnet: Enables creation of Subnets – micro-economies of GPU-powered tools (bots, services, apps). • AWS / GCP / Azure: You deploy, but don’t earn or get discovered unless you scale independently. Why? GPUnet gives discoverability + built-in token economy. ⸻ 6. AI-Native Design • GPUnet: Custom L1 chain (GANChain) designed for compute coordination and AI agent ecosystems. • AWS / GCP / Azure: General-purpose cloud infrastructure, not optimized for decentralized agentic AI. ⸻ If you want speed, cost-efficiency, ownership, and web3-native scale—GPUnet is your compute layer. Big clouds are built for enterprises. GPUnet is built for creators, devs, and communities. #GPUImpact #DePIN+AI #GPU #Subnets
Tired of paying $100/hour for GPUs on AWS?

Here’s why GPUnet might just replace traditional cloud for good.

A straight-up comparison 👇



1. Cost

• GPUnet: ~70% cheaper than AWS (Barrels of Compute = $500 of power at 1/3rd the price).
• AWS / GCP / Azure: Extremely high hourly GPU costs, often unaffordable for startups and independent creators.

Why? GPUnet removes middlemen and uses a peer-to-peer marketplace.



2. Accessibility
• GPUnet: Permissionless. Anyone can rent or provide GPUs.
• AWS / GCP / Azure: Require KYC, credit cards, and enterprise-level onboarding.

Why? GPUnet is built on-chain—open access for all.



3. Decentralization
• GPUnet: Decentralized network of GPU providers, validators, and builders.
• AWS / GCP / Azure: Centralized servers run by corporations.

Why it matters: GPUnet can’t be shut down, censored, or monopolized.



4. Incentives & Ownership
• GPUnet: Users earn $GPU by participating (validating, providing, building).
• AWS / GCP / Azure: You only pay—no ownership, no upside.

Why? GPUnet aligns economic incentives with usage.



5. Innovation Layer
• GPUnet: Enables creation of Subnets – micro-economies of GPU-powered tools (bots, services, apps).
• AWS / GCP / Azure: You deploy, but don’t earn or get discovered unless you scale independently.

Why? GPUnet gives discoverability + built-in token economy.



6. AI-Native Design
• GPUnet: Custom L1 chain (GANChain) designed for compute coordination and AI agent ecosystems.
• AWS / GCP / Azure: General-purpose cloud infrastructure, not optimized for decentralized agentic AI.



If you want speed, cost-efficiency, ownership, and web3-native scale—GPUnet is your compute layer.
Big clouds are built for enterprises. GPUnet is built for creators, devs, and communities.

#GPUImpact #DePIN+AI #GPU #Subnets
🚀 The AI revolution is here, but it's centralized and expensive. @Hemi is changing that. ✨ 🎯 Hemi is building a decentralized network that connects users with idle GPUs to developers who need computing power. This creates a more accessible, efficient, and democratic marketplace for AI resources. 📈 The $HEMI token is the heart of this ecosystem, used for payments, staking, and governance. ⚡🛡️ This is the infrastructure the open AI future needs. A project with massive potential.💪 #Hemi #DeAI #GPU {spot}(HEMIUSDT)
🚀 The AI revolution is here, but it's centralized and expensive. @Hemi is changing that. ✨

🎯 Hemi is building a decentralized network that connects users with idle GPUs to developers who need computing power. This creates a more accessible, efficient, and democratic marketplace for AI resources. 📈

The $HEMI token is the heart of this ecosystem, used for payments, staking, and governance. ⚡🛡️

This is the infrastructure the open AI future needs. A project with massive potential.💪

#Hemi #DeAI #GPU
🌟 Revolutionizing AI with @Hemi 🚀 Welcome to the future of decentralized AI computing! Hemi is building a groundbreaking peer-to-peer network that connects GPU providers with developers, creating a global marketplace for computing power. 💡 Why Hemi Stands Out: · 🖥️ Accessible AI Power: Tap into distributed GPU resources worldwide · 💰 Earn Passive Income: Monetize your idle GPU capacity · 🌍 Democratizing AI: Making AI development affordable and accessible · ⚡ High Performance: Scalable computing for complex AI models 🔗 Powered by $HEMI: The lifeblood of the ecosystem · 🎯 Network governance and voting rights · 💎 Staking rewards and incentives · 🔥 Fueling transactions and computations · 🏆 Access premium features and services 🚀 Join the AI Revolution Today! Be part of the movement decentralizing artificial intelligence and shaping the future of computing. #Hemi #DeAI #GPU #Blockchain #AI $HEMI 💫 {spot}(HEMIUSDT) ✨ Don't just witness the AI revolution - help build it with Hemi! 🌟
🌟 Revolutionizing AI with @Hemi 🚀

Welcome to the future of decentralized AI computing! Hemi is building a groundbreaking peer-to-peer network that connects GPU providers with developers, creating a global marketplace for computing power.

💡 Why Hemi Stands Out:

· 🖥️ Accessible AI Power: Tap into distributed GPU resources worldwide
· 💰 Earn Passive Income: Monetize your idle GPU capacity
· 🌍 Democratizing AI: Making AI development affordable and accessible
· ⚡ High Performance: Scalable computing for complex AI models

🔗 Powered by $HEMI : The lifeblood of the ecosystem

· 🎯 Network governance and voting rights
· 💎 Staking rewards and incentives
· 🔥 Fueling transactions and computations
· 🏆 Access premium features and services

🚀 Join the AI Revolution Today!
Be part of the movement decentralizing artificial intelligence and shaping the future of computing.

#Hemi #DeAI #GPU #Blockchain #AI $HEMI 💫


✨ Don't just witness the AI revolution - help build it with Hemi! 🌟
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Бичи
Be like #ElonMusk 🌐 Bought #Twitter for $44B → turned it into X Built #XAI , raised billions, one of the largest #GPU clusters Plugged #AI straight into a global social network Final boss move 🧠🚀 SpaceX acquires xAI Now one empire controls: • X (global media) • Real-time data • Massive AI compute • Rockets + hardware Data → AI → Distribution → Space Closed loop. No coincidence. He didn’t buy Twitter to tweet. He bought it to build a trillion-dollar AI empire 🔥 $DOGE Father 🫡 {spot}(DOGEUSDT)
Be like #ElonMusk 🌐

Bought #Twitter for $44B → turned it into X
Built #XAI , raised billions, one of the largest #GPU clusters
Plugged #AI straight into a global social network

Final boss move 🧠🚀
SpaceX acquires xAI

Now one empire controls:
• X (global media)
• Real-time data
• Massive AI compute
• Rockets + hardware

Data → AI → Distribution → Space
Closed loop. No coincidence.

He didn’t buy Twitter to tweet.
He bought it to build a trillion-dollar AI empire 🔥
$DOGE Father 🫡
Aethir has opened its $100M Ecosystem Fund to RWA projects Aethir's $100M Ecosystem Fund is now open to #RWA projects. Aethir believes tokenized real-world assets are a key bridge between traditional finance and crypto, particularly when tied to high-value, yield-generating infrastructure like GPUs. Previously, Aethir launched the #RWAI #GPU initiative in partnership with #PlumeNetwork. #Aethir $ATH is a decentralized GPU cloud infrastructure positioned as an enterprise-grade AI-focused GPU-as-a-service provider tailored for #AI and gaming. Backed by Framework Ventures, Merit Circle, Hashkey, Animoca Brands, Maelstrom, Mirana Ventures and others, Aethir has raised over $32M for its ecosystem. 👉 x.com/AethirEco/status/1912856768914284654
Aethir has opened its $100M Ecosystem Fund to RWA projects

Aethir's $100M Ecosystem Fund is now open to #RWA projects. Aethir believes tokenized real-world assets are a key bridge between traditional finance and crypto, particularly when tied to high-value, yield-generating infrastructure like GPUs. Previously, Aethir launched the #RWAI #GPU initiative in partnership with #PlumeNetwork.

#Aethir $ATH is a decentralized GPU cloud infrastructure positioned as an enterprise-grade AI-focused GPU-as-a-service provider tailored for #AI and gaming. Backed by Framework Ventures, Merit Circle, Hashkey, Animoca Brands, Maelstrom, Mirana Ventures and others, Aethir has raised over $32M for its ecosystem.

👉 x.com/AethirEco/status/1912856768914284654
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Статия
币圈 AI 圈组队搞大事!算力数据工具全配齐,Aethir 这个老大哥悄悄整活,6 月有大动作?Aethir@Aethir 有段时间没消息了,原来是憋了个大的出来,今天继续跟大家跟踪一下这个我跟了一年多的潜力项目!  Aethir@AethirMandarin搞了一个AI Unbundled 联盟,简单说就是一群 Web3 和 AI 领域的尖子生组队了,一起来看看吧,终究是什么大来头: 它们的目的也很直接,现在搞 AI 创业太难了,缺算力、缺数据、缺工具,小团队根本玩不转。联盟就是要把这些资源全整合起来,从上游的算力供应、数据处理,到下游的产品开发、市场推广,一站式给 AI 项目铺路,让更多人能在 Web3 里搞 AI 创新。   那么总有个带头的吧? 去中心化云算力老大哥Aethir就是这个带头人,拉上了 12 个各领域的顶流伙伴,包括搞去中心化 AI 操作系统的 @0G_labs、链上数据基建的 @iotex_io、AI 开发工具的 @Chain_GPT 等等,硬件 + 软件 + 数据全配齐,可以称得上是 Web3 AI 的 “复仇者联盟”了!   这个时候可能有人会问,为什么Aethir当大哥,而不是其他的,那就顺带给大家说说Aethir的优势在哪里。   说到 Aethir,经常看我推的小伙伴应该很熟悉了,但是不排除有些散户觉得陌生,但在去中心化算力圈,这货可是隐形巨头:  财务数据亮眼:2024 年靠卖 GPU 算力服务,年经常性收入(MRR)直接干到 1.26 亿美元,相当于每天进账 34 万刀,比很多喊口号的项目实在多了。  行业地位稳:作为最早布局去中心化算力的平台,Aethir 手里握着全球大量闲置 GPU 资源,给 AI 开发者提供低成本算力,相当于 Web3 AI 世界的 “水电工”,刚需中的刚需。  即将解锁关键信号:今年 6 月,Aethir 的节点锁定期要到了(节点质押锁仓一年),作为第一个节点二级市场的风向标,一旦解锁,可能会刺激市场重新审视它的价值 —— 毕竟赚着真金白银,但代币价格还没跟上业绩,明显有预期差。相信这些已经足够说明了!   接下来再和大家看看联盟里的队友的实力,在我看来,随便拎一个都是刚需。  这次联盟不是凑数的,每个合作伙伴都卡在 AI 开发的关键环节上: 算力 + 基建组:Aethir 提供 GPU 算力,@0G_labs 给去中心化 AI 操作系统,@GEODNET 搞卫星数据实时传输,@iotex_io 做 DePIN AI 区块链基建,解决 “算力贵、数据慢、部署难” 的痛点。 工具 + 开发组:@flock_io 提供全栈 AI 训练平台,@Chain_GPT 搞 Web3 专属 AI 开发工具,@biconomy 给即插即用的 Web3 API,开发者就算不懂区块链,也能快速搭出 AI 应用。 数据 + 安全组:@OasisProtocol 做隐私计算,@PolyhedraZK 搞零知识证明,解决 AI 数据共享时的隐私和安全问题,这对金融、医疗等敏感领域的 AI 项目来说,不是刚需是啥? 合作伙伴更多的详细介绍和信息大家可以官网看:https://aethir.com/ai-unbundled 然后我觉得值得关注的原因大概有三点:  1. Web3 AI 肯定是下一个风口热点了,毋庸置疑的,很早就让大家重点关注AI相关的项目:OpenAI、Anthropic 带火了 AI,现在 Web3 需要自己的 AI 基建 —— 去中心化算力、链上数据处理、AI 与区块链结合的应用,全是空白市场,联盟的出现相当于给这个赛道搭好了高速路,迟早会跑出爆款项目,目前看来就是时间问题了。 2. Aethir 在我看来还是被严重低估了:年入 1.26 亿美金,代币 $ATH 目前市值才 2.5 亿左右,PE 比传统科技公司还低,加上 6 月节点解锁可能带来的流动性和市场关注度提升,存在估值修复机会。 3. 跟着大哥吃肉:联盟里的项目都是各领域头部,比如 @iotex_io、@Chain_GPT 之前就有过亮眼表现,这次抱团后,可能会互相导流,催生更多合作项目,提前埋伏相关生态,说不定能抓到下一个好的币!  总结一下来说就是,AI Unbundled 联盟的成立,相当于给 Web3 AI 开发者递了一把 “万能钥匙”:以前需要自己攒算力、搭数据、搞安全,现在全由联盟搞定,开发者只需要专注写代码就行。而 Aethir 作为背后的 “算力霸主”,握着最核心的资源,还低调赚着大钱,一旦市场意识到它的价值,说不定就是下一个 “叙事龙头”。 如果你看好 Web3 和 AI 的结合,这个联盟值得长期跟踪 —— 关注 @AethirMandarin,盯着 6 月节点解锁的动向,说不定能提前抓住一次大的机会! #Web3AI 革命 #去中心化算力 #AI 基建联盟 #Aethir 生态 #GPU 算力网络 #Web3AI #Web3AI

币圈 AI 圈组队搞大事!算力数据工具全配齐,Aethir 这个老大哥悄悄整活,6 月有大动作?

Aethir@AethirCloud 有段时间没消息了,原来是憋了个大的出来,今天继续跟大家跟踪一下这个我跟了一年多的潜力项目!
 Aethir@AethirMandarin搞了一个AI Unbundled 联盟,简单说就是一群 Web3 和 AI 领域的尖子生组队了,一起来看看吧,终究是什么大来头:

它们的目的也很直接,现在搞 AI 创业太难了,缺算力、缺数据、缺工具,小团队根本玩不转。联盟就是要把这些资源全整合起来,从上游的算力供应、数据处理,到下游的产品开发、市场推广,一站式给 AI 项目铺路,让更多人能在 Web3 里搞 AI 创新。
 
那么总有个带头的吧? 去中心化云算力老大哥Aethir就是这个带头人,拉上了 12 个各领域的顶流伙伴,包括搞去中心化 AI 操作系统的 @0G_labs、链上数据基建的 @iotex_io、AI 开发工具的 @Chain_GPT 等等,硬件 + 软件 + 数据全配齐,可以称得上是 Web3 AI 的 “复仇者联盟”了!
 
这个时候可能有人会问,为什么Aethir当大哥,而不是其他的,那就顺带给大家说说Aethir的优势在哪里。
 
说到 Aethir,经常看我推的小伙伴应该很熟悉了,但是不排除有些散户觉得陌生,但在去中心化算力圈,这货可是隐形巨头:
 财务数据亮眼:2024 年靠卖 GPU 算力服务,年经常性收入(MRR)直接干到 1.26 亿美元,相当于每天进账 34 万刀,比很多喊口号的项目实在多了。
 行业地位稳:作为最早布局去中心化算力的平台,Aethir 手里握着全球大量闲置 GPU 资源,给 AI 开发者提供低成本算力,相当于 Web3 AI 世界的 “水电工”,刚需中的刚需。
 即将解锁关键信号:今年 6 月,Aethir 的节点锁定期要到了(节点质押锁仓一年),作为第一个节点二级市场的风向标,一旦解锁,可能会刺激市场重新审视它的价值 —— 毕竟赚着真金白银,但代币价格还没跟上业绩,明显有预期差。相信这些已经足够说明了!
 
接下来再和大家看看联盟里的队友的实力,在我看来,随便拎一个都是刚需。
 这次联盟不是凑数的,每个合作伙伴都卡在 AI 开发的关键环节上:
算力 + 基建组:Aethir 提供 GPU 算力,@0G_labs 给去中心化 AI 操作系统,@GEODNET 搞卫星数据实时传输,@iotex_io 做 DePIN AI 区块链基建,解决 “算力贵、数据慢、部署难” 的痛点。
工具 + 开发组:@flock_io 提供全栈 AI 训练平台,@Chain_GPT 搞 Web3 专属 AI 开发工具,@biconomy 给即插即用的 Web3 API,开发者就算不懂区块链,也能快速搭出 AI 应用。
数据 + 安全组:@OasisProtocol 做隐私计算,@PolyhedraZK 搞零知识证明,解决 AI 数据共享时的隐私和安全问题,这对金融、医疗等敏感领域的 AI 项目来说,不是刚需是啥?
合作伙伴更多的详细介绍和信息大家可以官网看:https://aethir.com/ai-unbundled

然后我觉得值得关注的原因大概有三点:
 1. Web3 AI 肯定是下一个风口热点了,毋庸置疑的,很早就让大家重点关注AI相关的项目:OpenAI、Anthropic 带火了 AI,现在 Web3 需要自己的 AI 基建 —— 去中心化算力、链上数据处理、AI 与区块链结合的应用,全是空白市场,联盟的出现相当于给这个赛道搭好了高速路,迟早会跑出爆款项目,目前看来就是时间问题了。
2. Aethir 在我看来还是被严重低估了:年入 1.26 亿美金,代币 $ATH 目前市值才 2.5 亿左右,PE 比传统科技公司还低,加上 6 月节点解锁可能带来的流动性和市场关注度提升,存在估值修复机会。
3. 跟着大哥吃肉:联盟里的项目都是各领域头部,比如 @iotex_io、@Chain_GPT 之前就有过亮眼表现,这次抱团后,可能会互相导流,催生更多合作项目,提前埋伏相关生态,说不定能抓到下一个好的币! 

总结一下来说就是,AI Unbundled 联盟的成立,相当于给 Web3 AI 开发者递了一把 “万能钥匙”:以前需要自己攒算力、搭数据、搞安全,现在全由联盟搞定,开发者只需要专注写代码就行。而 Aethir 作为背后的 “算力霸主”,握着最核心的资源,还低调赚着大钱,一旦市场意识到它的价值,说不定就是下一个 “叙事龙头”。

如果你看好 Web3 和 AI 的结合,这个联盟值得长期跟踪 —— 关注 @AethirMandarin,盯着 6 月节点解锁的动向,说不定能提前抓住一次大的机会! #Web3AI 革命 #去中心化算力 #AI 基建联盟 #Aethir 生态 #GPU 算力网络 #Web3AI #Web3AI
Aethir unveils a grant program in collaboration with The Blockchain Center Abu Dhabi #Aethir launches a grant program with The Blockchain Center Abu Dhabi. The grant program aims to empower bold ideas and drive innovation in #AI and gaming. The applications are already open. Aethir $ATH is a decentralized #GPU cloud infrastructure positioned as an enterprise-grade AI-focused GPU-as-a-service provider tailored for AI and gaming. Backed by Framework Ventures, Merit Circle, Hashkey, Animoca Brands, Maelstrom, Mirana Ventures and others, Aethir has raised over $32M for its ecosystem. 👉 x.com/AethirEco/status/1876599660544139740
Aethir unveils a grant program in collaboration with The Blockchain Center Abu Dhabi

#Aethir launches a grant program with The Blockchain Center Abu Dhabi. The grant program aims to empower bold ideas and drive innovation in #AI and gaming. The applications are already open.

Aethir $ATH is a decentralized #GPU cloud infrastructure positioned as an enterprise-grade AI-focused GPU-as-a-service provider tailored for AI and gaming. Backed by Framework Ventures, Merit Circle, Hashkey, Animoca Brands, Maelstrom, Mirana Ventures and others, Aethir has raised over $32M for its ecosystem.

👉 x.com/AethirEco/status/1876599660544139740
Aethir unveils an integration with Morph's ecosystem #Aethir integrates with a global consumer layer, #Morph . Through this integration, Morph's ecosystem will be powered by Aethir's #GPU infrastructure, taking AI-powered apps to new heights. Aethir $ATH is a decentralized GPU cloud infrastructure positioned as an enterprise-grade AI-focused GPU-as-a-service provider tailored for #AI and gaming. Backed by Framework Ventures, Merit Circle, Hashkey, Animoca Brands, Maelstrom, Mirana Ventures and others, Aethir has raised over $32M for its ecosystem. 👉 x.com/AethirCloud/status/1909909966900559926
Aethir unveils an integration with Morph's ecosystem

#Aethir integrates with a global consumer layer, #Morph . Through this integration, Morph's ecosystem will be powered by Aethir's #GPU infrastructure, taking AI-powered apps to new heights.

Aethir $ATH is a decentralized GPU cloud infrastructure positioned as an enterprise-grade AI-focused GPU-as-a-service provider tailored for #AI and gaming. Backed by Framework Ventures, Merit Circle, Hashkey, Animoca Brands, Maelstrom, Mirana Ventures and others, Aethir has raised over $32M for its ecosystem.

👉 x.com/AethirCloud/status/1909909966900559926
Статия
تعرف على مشروع io.net ببساطة مع مثال واقعييعد **مشروع io.net** في الأساس شبكة لا مركزية تستغل قوة وحدات معالجة الرسومات (GPUs) من جميع أنحاء العالم لتوفير قوة الحوسبة للتعلم الآلي وتطبيقات الذكاء الاصطناعي². فيما يلي تفصيل بسيط لما يفعله وكيف يمكنك الاستفادة منه: ما هو io.net؟ - **شبكة GPU اللامركزية**: تربط أكثر من مليون وحدة معالجة رسوميات من مصادر مختلفة مثل مراكز البيانات وعمال المناجم للعملات المشفرة لتشكيل شبكة حوسبة لامركزية ضخمة. - **التركيز على التعلم الآلي**: تم تصميم الشبكة لتقديم خدمات حوسبة GPU ميسورة التكلفة ويمكن الوصول إليها، خاصة لمهام التعلم الآلي. تقديم خدمات: - **الوصول إلى وحدة معالجة الرسومات عند الطلب**: يمكنك الوصول إلى شبكة عالمية من وحدات معالجة الرسومات على الفور والدفع حسب الاستخدام، وهو أرخص بكثير من امتلاك أو استئجار أجهزة باهظة الثمن. - **النشر العنقودي**: يوفر نشرًا مبسطًا لأحمال عمل التعلم الآلي عبر شبكة من وحدات معالجة الرسومات، والتعامل مع المهام مثل التنسيق والجدولة والقياس. - **المراقبة في الوقت الفعلي**: يمكنك مراقبة التقدم المحرز في مهامك واسترجاع النتائج، مما يضمن الشفافية والتحكم في مهام الحوسبة الخاصة بك. مثال واقعي: تخيل أنك تعمل في مشروع معقد للذكاء الاصطناعي يتطلب موارد GPU كبيرة لمهام مثل معالجة البيانات أو التدريب على النماذج. بدلاً من الاستثمار في أجهزة باهظة الثمن، يمكنك استخدام io.net للاستفادة من شبكة واسعة من وحدات معالجة الرسومات وتوسيع نطاق مشروعك حسب الحاجة. لن تدفع إلا مقابل وقت الحوسبة الذي تستخدمه، مما يوفر لك المال ويسمح لك بالتركيز على الابتكار بدلاً من البنية التحتية. كيف يمكنك الاستفادة؟ - **فعالة من حيث التكلفة**: وفّر التكاليف المرتفعة المرتبطة بشراء أجهزة وحدة معالجة الرسومات أو صيانتها. - **قابلية التوسع**: قم بسهولة بتوسيع احتياجات الحوسبة الخاصة بك لأعلى أو لأسفل بناءً على متطلبات مشروعك. - **إمكانية الوصول**: يمكنك الوصول إلى موارد الحوسبة القوية بغض النظر عن مكان تواجدك. - **المرونة**: يمكنك نشر نماذج التعلم الآلي وإدارتها بسهولة، وذلك بفضل واجهة io.net سهلة الاستخدام. في جوهر الأمر، تعمل io.net على إضفاء الطابع الديمقراطي على الوصول إلى قوة وحدة معالجة الرسومات، مما يجعل الأمر أسهل وأقل تكلفة للأفراد والشركات لتشغيل مشاريع الذكاء الاصطناعي والتعلم الآلي. سواء كنت شركة ناشئة أو شركة قائمة، يمكن أن تساعدك io.net على الاستفادة من قوة وحدات معالجة الرسومات دون الحواجز التقليدية المتمثلة في التكلفة والتعقيد. #GPU #الذكاء_الاصطناعي #AI💹 #Binance #AirdropGuide $IO

تعرف على مشروع io.net ببساطة مع مثال واقعي

يعد **مشروع io.net** في الأساس شبكة لا مركزية تستغل قوة وحدات معالجة الرسومات (GPUs) من جميع أنحاء العالم لتوفير قوة الحوسبة للتعلم الآلي وتطبيقات الذكاء الاصطناعي². فيما يلي تفصيل بسيط لما يفعله وكيف يمكنك الاستفادة منه:

ما هو io.net؟
- **شبكة GPU اللامركزية**: تربط أكثر من مليون وحدة معالجة رسوميات من مصادر مختلفة مثل مراكز البيانات وعمال المناجم للعملات المشفرة لتشكيل شبكة حوسبة لامركزية ضخمة.
- **التركيز على التعلم الآلي**: تم تصميم الشبكة لتقديم خدمات حوسبة GPU ميسورة التكلفة ويمكن الوصول إليها، خاصة لمهام التعلم الآلي.

تقديم خدمات:
- **الوصول إلى وحدة معالجة الرسومات عند الطلب**: يمكنك الوصول إلى شبكة عالمية من وحدات معالجة الرسومات على الفور والدفع حسب الاستخدام، وهو أرخص بكثير من امتلاك أو استئجار أجهزة باهظة الثمن.
- **النشر العنقودي**: يوفر نشرًا مبسطًا لأحمال عمل التعلم الآلي عبر شبكة من وحدات معالجة الرسومات، والتعامل مع المهام مثل التنسيق والجدولة والقياس.
- **المراقبة في الوقت الفعلي**: يمكنك مراقبة التقدم المحرز في مهامك واسترجاع النتائج، مما يضمن الشفافية والتحكم في مهام الحوسبة الخاصة بك.

مثال واقعي:
تخيل أنك تعمل في مشروع معقد للذكاء الاصطناعي يتطلب موارد GPU كبيرة لمهام مثل معالجة البيانات أو التدريب على النماذج. بدلاً من الاستثمار في أجهزة باهظة الثمن، يمكنك استخدام io.net للاستفادة من شبكة واسعة من وحدات معالجة الرسومات وتوسيع نطاق مشروعك حسب الحاجة. لن تدفع إلا مقابل وقت الحوسبة الذي تستخدمه، مما يوفر لك المال ويسمح لك بالتركيز على الابتكار بدلاً من البنية التحتية.

كيف يمكنك الاستفادة؟
- **فعالة من حيث التكلفة**: وفّر التكاليف المرتفعة المرتبطة بشراء أجهزة وحدة معالجة الرسومات أو صيانتها.
- **قابلية التوسع**: قم بسهولة بتوسيع احتياجات الحوسبة الخاصة بك لأعلى أو لأسفل بناءً على متطلبات مشروعك.
- **إمكانية الوصول**: يمكنك الوصول إلى موارد الحوسبة القوية بغض النظر عن مكان تواجدك.
- **المرونة**: يمكنك نشر نماذج التعلم الآلي وإدارتها بسهولة، وذلك بفضل واجهة io.net سهلة الاستخدام.

في جوهر الأمر، تعمل io.net على إضفاء الطابع الديمقراطي على الوصول إلى قوة وحدة معالجة الرسومات، مما يجعل الأمر أسهل وأقل تكلفة للأفراد والشركات لتشغيل مشاريع الذكاء الاصطناعي والتعلم الآلي. سواء كنت شركة ناشئة أو شركة قائمة، يمكن أن تساعدك io.net على الاستفادة من قوة وحدات معالجة الرسومات دون الحواجز التقليدية المتمثلة في التكلفة والتعقيد.
#GPU #الذكاء_الاصطناعي #AI💹 #Binance #AirdropGuide $IO
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🚨 SCANDALO SUPERMICRO: GPU NVIDIA DA 2,5 MILIARDI CONTRABBANDATE IN CINA 🚨 Yih-Shyan “Wally” Liaw, cofondatore di Super Micro Computer, è stato arrestato con l’accusa di aver orchestrato un sistema di contrabbando da 2,5 miliardi di dollari in server Nvidia verso la Cina, aggirando le restrizioni statunitensi sulle esportazioni di chip avanzati.Secondo le indagini, Liaw avrebbe utilizzato una società di comodo nel Sud-Est asiatico per mascherare le spedizioni, creando server “falsi” per ingannare i controlli. Il dettaglio più surreale riguarda però il metodo: un semplice asciugacapelli veniva usato per riscaldare e rimuovere le etichette con i numeri seriali, permettendo di sostituirle e rendere i prodotti irrintracciabili. In sole tre settimane della scorsa primavera, sarebbero stati spediti componenti per oltre 510 milioni di dollari. L’operazione era una vera corsa contro il tempo per anticipare nuove restrizioni USA, tanto che Liaw avrebbe esortato il suo team con un link ufficiale della Casa Bianca accompagnato da un chiaro “andate più veloci”. Nonostante un patrimonio personale enorme, con circa 464 milioni di dollari in azioni SMCI, Liaw avrebbe comunque deciso di rischiare tutto. Ora è libero su cauzione ma rischia fino a 30 anni di carcere, mentre un suo collaboratore chiave risulta ancora latitante. Nel frattempo, il titolo SMCI ha perso il 14% after hours, segnale di quanto la vicenda stia pesando sulla fiducia degli investitori. Una storia destinata a restare. #breakingnews #NVIDIA #china #GPU
🚨 SCANDALO SUPERMICRO: GPU NVIDIA DA 2,5 MILIARDI CONTRABBANDATE IN CINA 🚨

Yih-Shyan “Wally” Liaw, cofondatore di Super Micro Computer, è stato arrestato con l’accusa di aver orchestrato un sistema di contrabbando da 2,5 miliardi di dollari in server Nvidia verso la Cina, aggirando le restrizioni statunitensi sulle esportazioni di chip avanzati.Secondo le indagini,

Liaw avrebbe utilizzato una società di comodo nel Sud-Est asiatico per mascherare le spedizioni, creando server “falsi” per ingannare i controlli.
Il dettaglio più surreale riguarda però il metodo: un semplice asciugacapelli veniva usato per riscaldare e rimuovere le etichette con i numeri seriali, permettendo di sostituirle e rendere i prodotti irrintracciabili.

In sole tre settimane della scorsa primavera, sarebbero stati spediti componenti per oltre 510 milioni di dollari. L’operazione era una vera corsa contro il tempo per anticipare nuove restrizioni USA, tanto che Liaw avrebbe esortato il suo team con un link ufficiale della Casa Bianca accompagnato da un chiaro “andate più veloci”.

Nonostante un patrimonio personale enorme, con circa 464 milioni di dollari in azioni SMCI, Liaw avrebbe comunque deciso di rischiare tutto.
Ora è libero su cauzione ma rischia fino a 30 anni di carcere, mentre un suo collaboratore chiave risulta ancora latitante.
Nel frattempo, il titolo SMCI ha perso il 14% after hours, segnale di quanto la vicenda stia pesando sulla fiducia degli investitori.
Una storia destinata a restare.
#breakingnews #NVIDIA #china #GPU
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