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NVIDIA Blackwell changed the data center infrastructure permanently. 120kW per rack. Mandatory liquid cooling. $500K to $2M per MW in CapEx. Here is what that means for AI compute access and why decentralized networks are the answer.

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Aethir

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11,739 görüntüleme • 2 ay önce •via X (Twitter)

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Water usage has been a hot topic in the AI data center world, but the numbers may surprise you. According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling. By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero. Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets. Learn more below ⬇️
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Water usage has been a hot topic in the AI data center world, but the numbers may surprise you. According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling. By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero. Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets. Learn more below ⬇️

NVIDIA

33,791,456 görüntüleme • 25 gün önce

📢 AITECH Data Center is Now Live! Solidus Ai Tech’s HPC Data Center is now live — the first ever built by a Web3 company, setting a new benchmark for decentralized AI infrastructure. 8000 sqft | 20MW capacity | 624 TFLOPS compute | RADOX cooling | <1ms latency | ISO 27001 compliant Next up is the launch of the Compute Marketplace, unlocking access to our available compute — all powered by the $AITECH token. A massive leap forward. 🔗 Learn more:
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📢 AITECH Data Center is Now Live! Solidus Ai Tech’s HPC Data Center is now live — the first ever built by a Web3 company, setting a new benchmark for decentralized AI infrastructure. 8000 sqft | 20MW capacity | 624 TFLOPS compute | RADOX cooling | <1ms latency | ISO 27001 compliant Next up is the launch of the Compute Marketplace, unlocking access to our available compute — all powered by the $AITECH token. A massive leap forward. 🔗 Learn more:

AITECH CLOUD NETWORK

170,573 görüntüleme • 1 yıl önce

Strategic positioning inside the most rapidly expanding markets As Bitcoin mining, AI, and data centers scale, energy efficiency and cooling become the limiting factors. PinLink and Crypto Miners are together building proprietary custom hydro-cooling infrastructure. The first prototypes are almost shipped. By operating this layer, PinLink captures value where demand is structurally guaranteed. These systems will also be tokenized through PinLink, enabling on-chain access to real infrastructure through expanded distribution channels. Tokenized and physical access. The link between decentralized physical infra networks. Energy, cooling, and compute converge here. $PIN —> LINK
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Strategic positioning inside the most rapidly expanding markets As Bitcoin mining, AI, and data centers scale, energy efficiency and cooling become the limiting factors. PinLink and Crypto Miners are together building proprietary custom hydro-cooling infrastructure. The first prototypes are almost shipped. By operating this layer, PinLink captures value where demand is structurally guaranteed. These systems will also be tokenized through PinLink, enabling on-chain access to real infrastructure through expanded distribution channels. Tokenized and physical access. The link between decentralized physical infra networks. Energy, cooling, and compute converge here. $PIN —> LINK

PinLink

18,932 görüntüleme • 6 ay önce

NEWS: SpaceX is reportedly in talks with the Pentagon to provide billions of dollars worth of data-center compute for its AI push. This deal could give the U.S. military access to SpaceX infrastructure, per Reuters. This has not yet been officially confirmed by Elon Musk.
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NEWS: SpaceX is reportedly in talks with the Pentagon to provide billions of dollars worth of data-center compute for its AI push. This deal could give the U.S. military access to SpaceX infrastructure, per Reuters. This has not yet been officially confirmed by Elon Musk.

DogeDesigner

65,057 görüntüleme • 11 saat önce

Partnership Announcement: Exabits x Mizzle, Powering AI Compute with Web3 Innovation Exabits and Mizzle are teaming up to redefine AI infrastructure and unlock new opportunities in AI compute. Exabits – The leading AI compute network, tokenizing GPUs to unlock real yield and make high-performance infrastructure accessible and monetizable. – The Web3-native marketplace streamlining tokenized AI services for seamless adoption and scalability. Shared Mission: Breaking barriers in AI compute, making high-performance, advanced infrastructure accessible, monetizable, and profitable for everyone. Why this partnership matters: - Seamless GPU Liquidity – Exabits tokenizes AI compute, Mizzle creates frictionless access. - On-Demand AI Power – Institutions & developers instantly access scalable compute resources. - Transforming AI Infrastructure – Making high-performance compute an asset class, fueling next-gen applications. AI compute is evolving. Real compute. Real adoption. Real revenue. This is how Web3 wins.
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Partnership Announcement: Exabits x Mizzle, Powering AI Compute with Web3 Innovation Exabits and Mizzle are teaming up to redefine AI infrastructure and unlock new opportunities in AI compute. Exabits – The leading AI compute network, tokenizing GPUs to unlock real yield and make high-performance infrastructure accessible and monetizable. – The Web3-native marketplace streamlining tokenized AI services for seamless adoption and scalability. Shared Mission: Breaking barriers in AI compute, making high-performance, advanced infrastructure accessible, monetizable, and profitable for everyone. Why this partnership matters: - Seamless GPU Liquidity – Exabits tokenizes AI compute, Mizzle creates frictionless access. - On-Demand AI Power – Institutions & developers instantly access scalable compute resources. - Transforming AI Infrastructure – Making high-performance compute an asset class, fueling next-gen applications. AI compute is evolving. Real compute. Real adoption. Real revenue. This is how Web3 wins.

Exabits

22,290 görüntüleme • 1 yıl önce

China just took AI infrastructure underwater. The country has reportedly launched a wind-powered underwater data center near Shanghai, designed to cool AI servers using seawater instead of traditional cooling systems 🌊🤖 Around 2,000 servers are said to be sealed inside submarine-grade modules, helping reduce land use, water consumption, and cooling energy. The project is powered by offshore wind and built for AI workloads, big data, and large-scale computing. Why it matters? AI is creating massive demand for electricity, cooling, and infrastructure. If underwater data centers prove reliable, they could become a new way to scale AI while using less energy. But the challenge is huge: corrosion, maintenance, sea conditions, and long-term reliability still need to be proven.
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China just took AI infrastructure underwater. The country has reportedly launched a wind-powered underwater data center near Shanghai, designed to cool AI servers using seawater instead of traditional cooling systems 🌊🤖 Around 2,000 servers are said to be sealed inside submarine-grade modules, helping reduce land use, water consumption, and cooling energy. The project is powered by offshore wind and built for AI workloads, big data, and large-scale computing. Why it matters? AI is creating massive demand for electricity, cooling, and infrastructure. If underwater data centers prove reliable, they could become a new way to scale AI while using less energy. But the challenge is huge: corrosion, maintenance, sea conditions, and long-term reliability still need to be proven.

Neha Singhal Trader

173,255 görüntüleme • 1 ay önce

Satya Nadella: Microsoft’s latest Wisconsin AI data center keeps yearly water consumption no higher than that of 1 local restaurant. "The cooling loop is filled once and the data centre can operate effectively with zero water consumption. Daily water usage across a year is roughly equivalent to what a single restaurant would use" The mechanism is mainly about replacing evaporative cooling with closed-loop direct-to-chip liquid cooling, so water moves like coolant inside a sealed machine rather than being boiled off into the air. Hot GB200-class AI racks produce too much heat for normal air cooling, so cold liquid is pushed through pipes into the servers and across metal cold plates touching the hottest chips. The liquid enters the rack cool, absorbs heat from the chips through cold plates, then exits the rack at a higher temperature and carries that heat through pipes to a huge cooling system outside the compute floor. Microsoft says Fairwater sends that hot water to cooling “fins” beside the datacenter, where 172 20-foot fans blow air across the fins and dump the heat into the outside air. The important detail is that the air cools the water through metal surfaces, so the water does not need to evaporate the way many older datacenters use cooling towers. The cooled liquid then returns to the servers, repeats the loop, and keeps absorbing heat from the chips. In older data centers, heat is often removed partly through cooling towers. Hot water meets moving air, some water evaporates, and that phase change carries heat away. Effective, but it consumes fresh water continuously. But Firwater is a closed loop because the same coolant keeps circulating through sealed pipes: it absorbs heat from the chips, releases that heat through radiator-like fins, then flows back to the chips again. For Wisconsin Fairwater, Microsoft says more than 90% of the facility uses closed-loop liquid cooling, while the remaining portion uses outside air and switches to water only on the hottest days. ---- From "Microsoft" YouTube channel, (link in comment)
0:19

Satya Nadella: Microsoft’s latest Wisconsin AI data center keeps yearly water consumption no higher than that of 1 local restaurant. "The cooling loop is filled once and the data centre can operate effectively with zero water consumption. Daily water usage across a year is roughly equivalent to what a single restaurant would use" The mechanism is mainly about replacing evaporative cooling with closed-loop direct-to-chip liquid cooling, so water moves like coolant inside a sealed machine rather than being boiled off into the air. Hot GB200-class AI racks produce too much heat for normal air cooling, so cold liquid is pushed through pipes into the servers and across metal cold plates touching the hottest chips. The liquid enters the rack cool, absorbs heat from the chips through cold plates, then exits the rack at a higher temperature and carries that heat through pipes to a huge cooling system outside the compute floor. Microsoft says Fairwater sends that hot water to cooling “fins” beside the datacenter, where 172 20-foot fans blow air across the fins and dump the heat into the outside air. The important detail is that the air cools the water through metal surfaces, so the water does not need to evaporate the way many older datacenters use cooling towers. The cooled liquid then returns to the servers, repeats the loop, and keeps absorbing heat from the chips. In older data centers, heat is often removed partly through cooling towers. Hot water meets moving air, some water evaporates, and that phase change carries heat away. Effective, but it consumes fresh water continuously. But Firwater is a closed loop because the same coolant keeps circulating through sealed pipes: it absorbs heat from the chips, releases that heat through radiator-like fins, then flows back to the chips again. For Wisconsin Fairwater, Microsoft says more than 90% of the facility uses closed-loop liquid cooling, while the remaining portion uses outside air and switches to water only on the hottest days. ---- From "Microsoft" YouTube channel, (link in comment)

Rohan Paul

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BREAKING 🚨 xAI reportedly to spend $18B to acquire 300K more NVIDIA chips for COLOSSUS 2, world's 1st Gigawatt AI Supercluster - xAI set to be valued at $200 billion soon - 200MW implemented in six months what took 15 months for Oracle, Crusoe and OpenAI. Let that sink in. - 500K chips now, and will eventually have 1M chips as per Elon The data center looks amazing. I am even more excited for Grok 5.
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BREAKING 🚨 xAI reportedly to spend $18B to acquire 300K more NVIDIA chips for COLOSSUS 2, world's 1st Gigawatt AI Supercluster - xAI set to be valued at $200 billion soon - 200MW implemented in six months what took 15 months for Oracle, Crusoe and OpenAI. Let that sink in. - 500K chips now, and will eventually have 1M chips as per Elon The data center looks amazing. I am even more excited for Grok 5.

Prashant

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📢 NEW AI ADOPTION ALERT 📢 We’re excited to welcome @RingfenceAI to the Vanar ecosystem! 🚀 Ringfence is a fully agentic protocol redefining how data powers the AI economy. Leveraging Data Agents, Ringfence creates a decentralized infrastructure that ensures fairer data ownership, monetization and accessibility for the next generation of AI systems. Welcome to the future of decentralized data ownership! 🌌
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📢 NEW AI ADOPTION ALERT 📢 We’re excited to welcome @RingfenceAI to the Vanar ecosystem! 🚀 Ringfence is a fully agentic protocol redefining how data powers the AI economy. Leveraging Data Agents, Ringfence creates a decentralized infrastructure that ensures fairer data ownership, monetization and accessibility for the next generation of AI systems. Welcome to the future of decentralized data ownership! 🌌

Vanar

33,151 görüntüleme • 1 yıl önce

📈 Q2 is wrapping up — and Solidus Ai Tech is just getting started! We're entering a critical stretch with major rollouts on the horizon that will shape the next phase of our AI + Web3 vision. Here's what we have in store for the upcoming weeks: 🔹 Bridge to Solana 🔹 Data Center Phase 1 🔹 NVIDIA Servers Live 🔹 Exchange Listing 🔹 Compute Marketplace Live Infrastructure. Adoption. Momentum. If you're watching closely, now’s the time!
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📈 Q2 is wrapping up — and Solidus Ai Tech is just getting started! We're entering a critical stretch with major rollouts on the horizon that will shape the next phase of our AI + Web3 vision. Here's what we have in store for the upcoming weeks: 🔹 Bridge to Solana 🔹 Data Center Phase 1 🔹 NVIDIA Servers Live 🔹 Exchange Listing 🔹 Compute Marketplace Live Infrastructure. Adoption. Momentum. If you're watching closely, now’s the time!

AITECH CLOUD NETWORK

52,920 görüntüleme • 1 yıl önce

Behind every OptimAI Node is a mission far greater than rewards: 🔸To build a decentralized Reinforcement Data Network 🔸To unlock Agentic AI for everyone—not just a privileged few 👉OptimAI Edge Node: Our architecture is now in motion: 🔸OptimAI DePIN to power decentralized infrastructure 🔸OptimAI DeHIN to amplify collective intelligence 🔸Reinforcement Data Layer to train agents smarter, fairer 🔸Compute Layer to enable real-time AI at the edge 🔸OptimAI Chain to govern everything, transparently and efficiently OptimAI Agent Studio, Agent OS, Data Engine, Compute Engine: all part of what we’re building next. This is a network built by people, for people. And you’re not just early, you’re essential. Let’s keep mining, contributing, earning rewards in return, and rewriting the future of Decentralized AI. The future is Agentic. The fuel is your data. The power is decentralized. One Node. One Data. One Agent at a Time. #BUIDL with us!
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Behind every OptimAI Node is a mission far greater than rewards: 🔸To build a decentralized Reinforcement Data Network 🔸To unlock Agentic AI for everyone—not just a privileged few 👉OptimAI Edge Node: Our architecture is now in motion: 🔸OptimAI DePIN to power decentralized infrastructure 🔸OptimAI DeHIN to amplify collective intelligence 🔸Reinforcement Data Layer to train agents smarter, fairer 🔸Compute Layer to enable real-time AI at the edge 🔸OptimAI Chain to govern everything, transparently and efficiently OptimAI Agent Studio, Agent OS, Data Engine, Compute Engine: all part of what we’re building next. This is a network built by people, for people. And you’re not just early, you’re essential. Let’s keep mining, contributing, earning rewards in return, and rewriting the future of Decentralized AI. The future is Agentic. The fuel is your data. The power is decentralized. One Node. One Data. One Agent at a Time. #BUIDL with us!

OptimAI Network

60,210 görüntüleme • 1 yıl önce

Atoma Network x Linera: Advancing Decentralized AI 🚀 Super proud to announce that Atoma and Linera ⛓️ are partnering to bring scalable, private, and verifiable AI compute to Linera’s microchain ecosystem. Now, decentralized applications can access decentralized AI compute with full privacy—no reliance on centralized AI providers. You can join Jorge António and Mathieu Baudet next week to hear them discuss the partnership - Now, let's dive into this thread to see what this partnership is all about 👇
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Atoma Network x Linera: Advancing Decentralized AI 🚀 Super proud to announce that Atoma and Linera ⛓️ are partnering to bring scalable, private, and verifiable AI compute to Linera’s microchain ecosystem. Now, decentralized applications can access decentralized AI compute with full privacy—no reliance on centralized AI providers. You can join Jorge António and Mathieu Baudet next week to hear them discuss the partnership - Now, let's dive into this thread to see what this partnership is all about 👇

Atoma

268,299 görüntüleme • 1 yıl önce

🖥️🇦🇲Armenia to Launch High-Tech AI Data Center in Gagarin Village Investor: Eleveight AI ($60 million in private investment). Hardware: Equipped with 512 of the latest #NVIDIA B300 Blackwell GPUs. #Armenia is among the first countries globally to deploy this technology. Power: 1.2 MW capacity (scalable to 2.0 MW) powered by renewable energy sources. Timeline: Full operational launch expected by March 2026. Key Impact: Armenia is transitioning from an "exporter of talent" to a regional #AI infrastructure hub. This facility allows local startups, businesses, and scientific groups to train complex AI models domestically using world-class resources, eliminating the need for foreign relocation or reliance on external cloud providers. #Gagarin #SouthCaucasus #MiddleEast #Technology #IT
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🖥️🇦🇲Armenia to Launch High-Tech AI Data Center in Gagarin Village Investor: Eleveight AI ($60 million in private investment). Hardware: Equipped with 512 of the latest #NVIDIA B300 Blackwell GPUs. #Armenia is among the first countries globally to deploy this technology. Power: 1.2 MW capacity (scalable to 2.0 MW) powered by renewable energy sources. Timeline: Full operational launch expected by March 2026. Key Impact: Armenia is transitioning from an "exporter of talent" to a regional #AI infrastructure hub. This facility allows local startups, businesses, and scientific groups to train complex AI models domestically using world-class resources, eliminating the need for foreign relocation or reliance on external cloud providers. #Gagarin #SouthCaucasus #MiddleEast #Technology #IT

Arthur Maghakian

59,733 görüntüleme • 5 ay önce

Today, Nesa is excited to announce it is partnering with io.net to bring their decentralized fleet of GPUs to Nesa. Nesa and are natural complements to one another. Nesa’s private, distributed AI inference executed on ocean of decentralized compute means greater accessibility for the network. Together, we are one step closer to decentralizing AI for all.
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Today, Nesa is excited to announce it is partnering with io.net to bring their decentralized fleet of GPUs to Nesa. Nesa and are natural complements to one another. Nesa’s private, distributed AI inference executed on ocean of decentralized compute means greater accessibility for the network. Together, we are one step closer to decentralizing AI for all.

Nesa

257,418 görüntüleme • 2 yıl önce

🔐 𝗣𝗼𝘄𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗡𝗲𝘅𝘁 𝗪𝗮𝘃𝗲 𝗼𝗳 𝗔𝗜 We're proud to partner with Stempoint to secure the future of decentralized AI compute. StemPoint is building one of the most advanced distributed AI infrastructures on the planet, sharded GPU compute, open model libraries, and secure data flows across a global mesh. Now with Naoris Protocol’s Sub-Zero Layer and dPoSec consensus, every node, model, and data packet gains: • Post-quantum cryptographic protection • Real-time validation of compute and algorithms • A decentralized trust layer for sovereign AI 🚫 No more trusting black boxes. ✅ Verifiable AI infrastructure at scale.
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🔐 𝗣𝗼𝘄𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗡𝗲𝘅𝘁 𝗪𝗮𝘃𝗲 𝗼𝗳 𝗔𝗜 We're proud to partner with Stempoint to secure the future of decentralized AI compute. StemPoint is building one of the most advanced distributed AI infrastructures on the planet, sharded GPU compute, open model libraries, and secure data flows across a global mesh. Now with Naoris Protocol’s Sub-Zero Layer and dPoSec consensus, every node, model, and data packet gains: • Post-quantum cryptographic protection • Real-time validation of compute and algorithms • A decentralized trust layer for sovereign AI 🚫 No more trusting black boxes. ✅ Verifiable AI infrastructure at scale.

NaoX Protocol

23,330 görüntüleme • 11 ay önce

LayerAI Compute: Decentralized GPU Power for AI 🧬 LayerAI is stepping into the physical AI infrastructure game with our latest: DePin for AI Computing. This move tackles a key AI/ML market gap: instant, on-demand compute power, available worldwide with just a few clicks. We're not just decentralizing data with AI2Earn; we're now also decentralizing the compute, making the AI ecosystem stronger and more resilient. The first iteration of this product will go live in the 2nd week of February.
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LayerAI Compute: Decentralized GPU Power for AI 🧬 LayerAI is stepping into the physical AI infrastructure game with our latest: DePin for AI Computing. This move tackles a key AI/ML market gap: instant, on-demand compute power, available worldwide with just a few clicks. We're not just decentralizing data with AI2Earn; we're now also decentralizing the compute, making the AI ecosystem stronger and more resilient. The first iteration of this product will go live in the 2nd week of February.

LayerAI | AI2Earn

23,652 görüntüleme • 1 yıl önce

Loading DeFAI infrastructure ▓▓▓▓▓▓▓▓▓░ io.net, a decentralized GPU compute network has expanded to power the future of DeFAI for Injective builders. The integration aims to support the growing trend of developers building AI Agents, DeFAI, and gaming initiatives in web3. io.net provides Web3 builders with tools to train, fine-tune, and deploy ML models using decentralized resources. The collaboration combines Injective's iAgent framework with io.net’s extensive GPU network, setting the stage for more accessible and innovative development across use cases that require compute resources. Key features include: ✅ Access to over 10,000 cluster-ready GPUs and CPUs, ✅ AI-driven blockchain activities using Injective's iAgent SDK, and ✅ Potential for new on-chain financial products leveraging GPU pricing and data feeds. 👀 io.net’s DePIN network deploys on-demand, decentralized GPU resources globally, designed for low latency and high-throughput processing. Benefits include reduced barriers for AI/ML projects, enhanced integration of AI with on-chain activities, and democratized access to high-performance computing resources. Together, this marks a significant milestone in decentralized AI infrastructure, addressing key challenges and paving the way for unprecedented innovation in AI development and on-chain finance.
0:11

Loading DeFAI infrastructure ▓▓▓▓▓▓▓▓▓░ io.net, a decentralized GPU compute network has expanded to power the future of DeFAI for Injective builders. The integration aims to support the growing trend of developers building AI Agents, DeFAI, and gaming initiatives in web3. io.net provides Web3 builders with tools to train, fine-tune, and deploy ML models using decentralized resources. The collaboration combines Injective's iAgent framework with io.net’s extensive GPU network, setting the stage for more accessible and innovative development across use cases that require compute resources. Key features include: ✅ Access to over 10,000 cluster-ready GPUs and CPUs, ✅ AI-driven blockchain activities using Injective's iAgent SDK, and ✅ Potential for new on-chain financial products leveraging GPU pricing and data feeds. 👀 io.net’s DePIN network deploys on-demand, decentralized GPU resources globally, designed for low latency and high-throughput processing. Benefits include reduced barriers for AI/ML projects, enhanced integration of AI with on-chain activities, and democratized access to high-performance computing resources. Together, this marks a significant milestone in decentralized AI infrastructure, addressing key challenges and paving the way for unprecedented innovation in AI development and on-chain finance.

Injective 🥷

131,743 görüntüleme • 1 yıl önce

Our 1st Acquisition We've made a significant leap forward by officially acquiring Nidum, a decentralized AI computing platform poised to redefine blockchain intelligence and AI decentralization. With Nidums decentralized computing power, AI model training and global resource pool, we are now positioned at the forefront of blockchain driven AI innovation. What does that mean for our ecosystem? ✅ Scalable AI solutions powered by blockchain ✅ Decentralized AI model training & data privacy ✅ Expanded $BCUT utility in the AI economy Explore the dedicated website page to learn why this acquisition is a game changer for the our ecosystem and AI decentralization.
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Our 1st Acquisition We've made a significant leap forward by officially acquiring Nidum, a decentralized AI computing platform poised to redefine blockchain intelligence and AI decentralization. With Nidums decentralized computing power, AI model training and global resource pool, we are now positioned at the forefront of blockchain driven AI innovation. What does that mean for our ecosystem? ✅ Scalable AI solutions powered by blockchain ✅ Decentralized AI model training & data privacy ✅ Expanded $BCUT utility in the AI economy Explore the dedicated website page to learn why this acquisition is a game changer for the our ecosystem and AI decentralization.

bitsCrunch

90,627 görüntüleme • 1 yıl önce

NVIDIA might have just declared war on the cloud GPU business For years, AI builders had one option Rent compute Pay every month Watch the bill grow every time usage increased Now NVIDIA is putting serious AI hardware directly on people's desks Small enough to fit next to a monitor Powerful enough to run workloads that used to require expensive cloud infrastructure That's why this launch is getting so much attention The real story isn't the hardware specs It's the business model shift Every month, developers send money to cloud providers for inference, testing, fine-tuning and AI applications The question nobody can answer yet is what happens if enough developers decide they'd rather buy infrastructure once than rent it forever Because if local AI hardware keeps getting more powerful, the economics start changing very quickly Cloud providers built empires on renting access to compute NVIDIA is betting more people will eventually want to own it And that's a much bigger story than a new piece of hardware sitting on a desk
0:17

NVIDIA might have just declared war on the cloud GPU business For years, AI builders had one option Rent compute Pay every month Watch the bill grow every time usage increased Now NVIDIA is putting serious AI hardware directly on people's desks Small enough to fit next to a monitor Powerful enough to run workloads that used to require expensive cloud infrastructure That's why this launch is getting so much attention The real story isn't the hardware specs It's the business model shift Every month, developers send money to cloud providers for inference, testing, fine-tuning and AI applications The question nobody can answer yet is what happens if enough developers decide they'd rather buy infrastructure once than rent it forever Because if local AI hardware keeps getting more powerful, the economics start changing very quickly Cloud providers built empires on renting access to compute NVIDIA is betting more people will eventually want to own it And that's a much bigger story than a new piece of hardware sitting on a desk

beamnxw ./

30,361 görüntüleme • 1 ay önce