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Distributed GPUs can (and will) power AI and rendering without the need for massive centralized datacenters. A global pool of compute unlocks lower cost, lower latency, and massive scale. Jules Urbach shared this vision at RenderCon 2025. How far will we have come by RenderCon 2026? April 16-17. See...

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The Render Network

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31,513 просмотров • 8 месяцев назад •via X (Twitter)

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Elon Musk said the scale needed to deploy 100 GW/year of compute in space would require north of a million wafers starts per month. Tesla’s Terafab will be massive. Tesla AI Chips: •A14: Will achieve self-driving safety levels very far above human. • AI5: Will make the cars almost perfect and greatly enhance Optimus. Will also work for space at a low GW/year scale. • AI6: Optimus, Datacenters, and space also at a low GW/year scale. • AI7: >10GW/year compute in space • AI8: >100GW/year compute in space
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Elon Musk said the scale needed to deploy 100 GW/year of compute in space would require north of a million wafers starts per month. Tesla’s Terafab will be massive. Tesla AI Chips: •A14: Will achieve self-driving safety levels very far above human. • AI5: Will make the cars almost perfect and greatly enhance Optimus. Will also work for space at a low GW/year scale. • AI6: Optimus, Datacenters, and space also at a low GW/year scale. • AI7: >10GW/year compute in space • AI8: >100GW/year compute in space

Nic Cruz Patane

29,627 просмотров • 5 месяцев назад

Distributed compute needs to be deployed with speed, scale, and sovereignty. Dan Wright joined Bloomberg Technology this week to talk about Galleon Forge One, our Series B, and the infrastructure buildout required to meet growing demand for inference, fine-tuning, and distributed model deployment at scale. The next wave of compute will not live only in centralized clouds. It will need to be deployed where land, energy, and data already exist. That is what Armada was built for. That is what Galleon delivers.
3:58

Distributed compute needs to be deployed with speed, scale, and sovereignty. Dan Wright joined Bloomberg Technology this week to talk about Galleon Forge One, our Series B, and the infrastructure buildout required to meet growing demand for inference, fine-tuning, and distributed model deployment at scale. The next wave of compute will not live only in centralized clouds. It will need to be deployed where land, energy, and data already exist. That is what Armada was built for. That is what Galleon delivers.

Armada

934,749 просмотров • 3 месяцев назад

ROBA Compute is officially LIVE. This isn't a feature drop. This is ROBA expanding into the AI infrastructure market - hundreds of billions in scale, and we're staking our claim. Rent GPUs on-demand. Enterprise-grade allocation. Transparent USDC pricing. Zero hidden fees and all on-chain. We're already in talks with enterprise clients for compute at scale. 15% of all compute revenue → straight to $ROBA buybacks & burns. GPU capacity is limited at launch. First come, first served. Over the next weeks we will begin accepting new compute partners to provide more power to the marketplace in addition to ROBA's own in-house GPUs and integrated robotics stack. Platform fees are discounted for a limited time only. The infrastructure layer powering physical AI and beyond starts here.
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ROBA Compute is officially LIVE. This isn't a feature drop. This is ROBA expanding into the AI infrastructure market - hundreds of billions in scale, and we're staking our claim. Rent GPUs on-demand. Enterprise-grade allocation. Transparent USDC pricing. Zero hidden fees and all on-chain. We're already in talks with enterprise clients for compute at scale. 15% of all compute revenue → straight to $ROBA buybacks & burns. GPU capacity is limited at launch. First come, first served. Over the next weeks we will begin accepting new compute partners to provide more power to the marketplace in addition to ROBA's own in-house GPUs and integrated robotics stack. Platform fees are discounted for a limited time only. The infrastructure layer powering physical AI and beyond starts here.

Roba Labs

43,747 просмотров • 1 месяц назад

🔥 NVIDIA GTC 2026: The Vera Rubin platform just dropped, introducing 10x inference throughput per watt, at 1/10th the cost per token vs. Blackwell. Jensen Huang called it: every company will now run a "token factory." Here's the thing: Aethir has been running distributed token factories since day one, with nearly 440,000+ GPU containers across 94 countries, delivering 1.5B+ compute hours to enterprises, powered by ATH. When the world's most powerful AI chips land, you need a cloud that can actually deploy them at scale, without the centralized cloud limitations and bottlenecks. That's Aethir’s advantage over centralized compute providers. ⚡
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🔥 NVIDIA GTC 2026: The Vera Rubin platform just dropped, introducing 10x inference throughput per watt, at 1/10th the cost per token vs. Blackwell. Jensen Huang called it: every company will now run a "token factory." Here's the thing: Aethir has been running distributed token factories since day one, with nearly 440,000+ GPU containers across 94 countries, delivering 1.5B+ compute hours to enterprises, powered by ATH. When the world's most powerful AI chips land, you need a cloud that can actually deploy them at scale, without the centralized cloud limitations and bottlenecks. That's Aethir’s advantage over centralized compute providers. ⚡

Aethir Ecosystem

15,420 просмотров • 5 месяцев назад

#WATCH | Delhi: At the #IndiaAIImpactSummit2026, Chairman & Managing Director of Reliance Industries Limited, Mukesh Ambani, says, "Today, on behalf of the Reliance Group and Jio Intelligence, I want to make three announcements. Announcement one, Jio connected India to the internet era. Jio will now connect India to the intelligence era. We will deliver intelligence to every citizen, every sector of the economy, and every facet of social development and every service of government. Jio will do so with the same reliability, quality, scale, and extreme affordability that transformed connectivity. India cannot afford to rent intelligence. Therefore, we will reduce the cost of intelligence as dramatically as we did the cost of data... Announcement 2, Jio, together with Reliance, will invest 10 lakh crores over the next seven years, starting this year... Announcement 3, Jio Intelligence will build India's sovereign compute infrastructure through three bold initiatives. One, gigawatt-scale data centres. We already started construction on multi-gigawatt AI-ready data centres at Jamnagar. Over 120 megawatts will come online in the second half of 2026 this year and a clear path to gigawatt-scale compute for training and large scale inference. Two, our green energy advantage. We have an in-house energy advantage with up to 10 gigawatts of ready green power surplus anchored by solar in both Kutch and Andhra Pradesh. Three, a nationwide edge compute, an edge compute layer deeply integrated with Jio's network will make intelligence responsive, low latency, and affordable close to where Indians live, learn, and work..." (Source: India AI)
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#WATCH | Delhi: At the #IndiaAIImpactSummit2026, Chairman & Managing Director of Reliance Industries Limited, Mukesh Ambani, says, "Today, on behalf of the Reliance Group and Jio Intelligence, I want to make three announcements. Announcement one, Jio connected India to the internet era. Jio will now connect India to the intelligence era. We will deliver intelligence to every citizen, every sector of the economy, and every facet of social development and every service of government. Jio will do so with the same reliability, quality, scale, and extreme affordability that transformed connectivity. India cannot afford to rent intelligence. Therefore, we will reduce the cost of intelligence as dramatically as we did the cost of data... Announcement 2, Jio, together with Reliance, will invest 10 lakh crores over the next seven years, starting this year... Announcement 3, Jio Intelligence will build India's sovereign compute infrastructure through three bold initiatives. One, gigawatt-scale data centres. We already started construction on multi-gigawatt AI-ready data centres at Jamnagar. Over 120 megawatts will come online in the second half of 2026 this year and a clear path to gigawatt-scale compute for training and large scale inference. Two, our green energy advantage. We have an in-house energy advantage with up to 10 gigawatts of ready green power surplus anchored by solar in both Kutch and Andhra Pradesh. Three, a nationwide edge compute, an edge compute layer deeply integrated with Jio's network will make intelligence responsive, low latency, and affordable close to where Indians live, learn, and work..." (Source: India AI)

ANI

82,266 просмотров • 6 месяцев назад

AI agents are creating a new enterprise challenge: economics. At Dell Technologies Technologies World 2026, Ihab Tarazi of Dell and NVIDIA's Jason Hardy explained why the next phase of enterprise AI isn't about access to models, it's about controlling the cost of compute, storage, and the explosion of data agents create. The next wave of AI success will be defined by how organizations manage the economics behind agents at scale. $NVDA $DELL
1:17

AI agents are creating a new enterprise challenge: economics. At Dell Technologies Technologies World 2026, Ihab Tarazi of Dell and NVIDIA's Jason Hardy explained why the next phase of enterprise AI isn't about access to models, it's about controlling the cost of compute, storage, and the explosion of data agents create. The next wave of AI success will be defined by how organizations manage the economics behind agents at scale. $NVDA $DELL

Six Five Media

26,975 просмотров • 2 месяцев назад

We asked Vincent Weisser about his vision for utilizing GPUs. "Every idling GPU is a market failure. Compute will be one of the biggest slices of GDP." "The goal is to have a fault-tolerant 'genius pool' of compute, ranging from H100s, A100s to even RTX 3090s." "Unutilized GPUs are missed opportunities for technological progress like curing diseases. The goal is to get to 100% utilization and we're far from it."
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We asked Vincent Weisser about his vision for utilizing GPUs. "Every idling GPU is a market failure. Compute will be one of the biggest slices of GDP." "The goal is to have a fault-tolerant 'genius pool' of compute, ranging from H100s, A100s to even RTX 3090s." "Unutilized GPUs are missed opportunities for technological progress like curing diseases. The goal is to get to 100% utilization and we're far from it."

TBPN

24,793 просмотров • 1 год назад

They told us the future of the internet was built by tech giants. We decided it should be built by us. 2025 was the year we moved from blueprint to backbone, successfully launching our product and token proving that enterprise-grade infra can be truly open. As we move into 2026, our focus shifts to massive service expansion. We are unlocking GPU and AI compute capabilities, onboarding a new wave of partners, and expanding our footprint into every major global market. The foundation is laid. 2026 is the year of global scale.
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They told us the future of the internet was built by tech giants. We decided it should be built by us. 2025 was the year we moved from blueprint to backbone, successfully launching our product and token proving that enterprise-grade infra can be truly open. As we move into 2026, our focus shifts to massive service expansion. We are unlocking GPU and AI compute capabilities, onboarding a new wave of partners, and expanding our footprint into every major global market. The foundation is laid. 2026 is the year of global scale.

Impossible Cloud Network

23,606 просмотров • 8 месяцев назад

🎤 Overheard at #CES2026: AI compute is entering the yottascale era. William Myrhang shows how the AMD Helios AI Platform enables AI to scale by the rack and by the data center, not one server at a time. Designed for agentic and large-scale AI workloads, Helios makes yottascale compute practical, deployable, and sustainable. Zettaflops defined the early AI boom. Yottaflops will define what comes next. AMD is helping build the open foundation needed to support this unprecedented scale.
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🎤 Overheard at #CES2026: AI compute is entering the yottascale era. William Myrhang shows how the AMD Helios AI Platform enables AI to scale by the rack and by the data center, not one server at a time. Designed for agentic and large-scale AI workloads, Helios makes yottascale compute practical, deployable, and sustainable. Zettaflops defined the early AI boom. Yottaflops will define what comes next. AMD is helping build the open foundation needed to support this unprecedented scale.

AMD

21,014 просмотров • 7 месяцев назад

With people and businesses leaving California in droves, we need big new ideas to lower costs and create jobs. So let's get rid of our state’s income tax. Bold leadership and vision will make California the envy of the country once again. We can and will restore the California Dream for all. More details to come soon. Sign up to hear our plan first at #biancoforgovernor
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With people and businesses leaving California in droves, we need big new ideas to lower costs and create jobs. So let's get rid of our state’s income tax. Bold leadership and vision will make California the envy of the country once again. We can and will restore the California Dream for all. More details to come soon. Sign up to hear our plan first at #biancoforgovernor

Sheriff Chad Bianco

108,587 просмотров • 1 год назад

Jensen Huang: "AI needs more energy, we have to invest more in energy." All other components required for AI factories, i.e., compute, cooling, networking equipment take months at most to source but power takes years. We need to expand generation capacity and upgrade the grid infrastructure as fast as possible. This means massive amounts of investment will flow to power producers, specialized infrastructure contractors and equipment providers. The whole sector will have strong tailwinds for the next decade. Long energy. $CEG $SEI $TLN $FLNC $DY $VST $BE
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Jensen Huang: "AI needs more energy, we have to invest more in energy." All other components required for AI factories, i.e., compute, cooling, networking equipment take months at most to source but power takes years. We need to expand generation capacity and upgrade the grid infrastructure as fast as possible. This means massive amounts of investment will flow to power producers, specialized infrastructure contractors and equipment providers. The whole sector will have strong tailwinds for the next decade. Long energy. $CEG $SEI $TLN $FLNC $DY $VST $BE

Oguz O. | 𝕏 Capitalist 💸

25,683 просмотров • 7 месяцев назад

Matthew on how energy goes from 10% of the cost of compute today to 20 or 30% by 2029. From our conversation and his letter: "The cost of power will be much higher than the hyperscalers underwrote, given their reliance on natural gas-fueled generation priced off a fuel that will cost far more than they assumed. High-cost fuel cells, behind-the-meter generation, bring-your-own-gen projects, emergency power procurement auctions. Virtually every solution being pursued by AI compute requires more natural gas. Each one accelerates our thesis. If you plug in all of this compute and it's gas powered, and we think gas could double or triple structurally even without weather, it could end up being 20 or 30% of the cost of compute by 2029. One of your recent guests listened and he said, 'Well, this sounds like DRAM two years ago.' Slowly at first, and then all at once."
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Matthew on how energy goes from 10% of the cost of compute today to 20 or 30% by 2029. From our conversation and his letter: "The cost of power will be much higher than the hyperscalers underwrote, given their reliance on natural gas-fueled generation priced off a fuel that will cost far more than they assumed. High-cost fuel cells, behind-the-meter generation, bring-your-own-gen projects, emergency power procurement auctions. Virtually every solution being pursued by AI compute requires more natural gas. Each one accelerates our thesis. If you plug in all of this compute and it's gas powered, and we think gas could double or triple structurally even without weather, it could end up being 20 or 30% of the cost of compute by 2029. One of your recent guests listened and he said, 'Well, this sounds like DRAM two years ago.' Slowly at first, and then all at once."

Patrick OShaughnessy

115,633 просмотров • 1 месяц назад

Elon Musk explains Tesla’s new Megapod concept for scaling distributed AI compute: “We’re building a Megapod design that pairs Tesla AI4 computers with x86 systems in a box...essentially digital Optimus in a box Similar to how Megapack packages batteries, a Megapod would combine a large number of AI4 and x86 systems inside one deployable unit These boxes could be placed anywhere across the country or outside the country allowing us to scale AI compute using distributed electricity production There is power available all around the world, including at our Supercharger sites. We have something like 7 gigawatts of power across the Supercharger network, and that continues to grow We could place Megapods at many of these locations and use that distributed power for AI compute I think that could be quite a big deal” Instead of relying entirely on enormous centralized data centers, Tesla could deploy modular AI-compute infrastructure wherever sufficient power is already available
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Elon Musk explains Tesla’s new Megapod concept for scaling distributed AI compute: “We’re building a Megapod design that pairs Tesla AI4 computers with x86 systems in a box...essentially digital Optimus in a box Similar to how Megapack packages batteries, a Megapod would combine a large number of AI4 and x86 systems inside one deployable unit These boxes could be placed anywhere across the country or outside the country allowing us to scale AI compute using distributed electricity production There is power available all around the world, including at our Supercharger sites. We have something like 7 gigawatts of power across the Supercharger network, and that continues to grow We could place Megapods at many of these locations and use that distributed power for AI compute I think that could be quite a big deal” Instead of relying entirely on enormous centralized data centers, Tesla could deploy modular AI-compute infrastructure wherever sufficient power is already available

X Freeze

17,025 просмотров • 1 месяц назад

The next wave of stablecoin adoption will come from merchants looking to cut credit card fees, earn yield, move money across borders instantly and at a lower cost, and bring dollar access to regions that need it. The adoption is happening now with Noble.
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The next wave of stablecoin adoption will come from merchants looking to cut credit card fees, earn yield, move money across borders instantly and at a lower cost, and bring dollar access to regions that need it. The adoption is happening now with Noble.

Noble

10,665 просмотров • 8 месяцев назад

ELON MUSK: Kardashev-Scale civilization will need Moon Bases and Mass Drivers. To reach a Kardashev-scale future for AI, humanity need space-based infrastructure including Moon bases, mass drivers, and large-scale solar power systems. Future AI may require energy at a scale far beyond what Earth can easily support. Solar-powered AI satellites launched from Earth could potentially generate terawatt-level power, but would require around 10 million tons of payload to orbit every year. That level of infrastructure could produce around twice the annual electricity use of the United States for AI power. The idea is not limited by physics; the real challenge is building at a massive enough scale. Lunar infrastructure could unlock petawatt-scale solar-powered AI, making Earth’s current economy look small by comparison.
1:49

ELON MUSK: Kardashev-Scale civilization will need Moon Bases and Mass Drivers. To reach a Kardashev-scale future for AI, humanity need space-based infrastructure including Moon bases, mass drivers, and large-scale solar power systems. Future AI may require energy at a scale far beyond what Earth can easily support. Solar-powered AI satellites launched from Earth could potentially generate terawatt-level power, but would require around 10 million tons of payload to orbit every year. That level of infrastructure could produce around twice the annual electricity use of the United States for AI power. The idea is not limited by physics; the real challenge is building at a massive enough scale. Lunar infrastructure could unlock petawatt-scale solar-powered AI, making Earth’s current economy look small by comparison.

DogeDesigner

17,792 просмотров • 3 месяцев назад

If intelligence is the log of compute… it starts with a lot of compute! And that’s why we’re scaling our GPU fleet faster than anyone else. Just last year, we added over 2 gigawatts of new capacity – roughly the output of 2 nuclear power plants. And today we’re going further, announcing the world's most powerful AI datacenter, located in southeastern Wisconsin. Fairwater is a seamless cluster of hundreds of thousands of NVIDIA GB200s, connected by enough fiber to circle the Earth 4.5 times. It will deliver 10x the performance of the world’s fastest supercomputer today, enabling AI training and inference workloads at a level never before seen. For AI training workloads, you need compute at exponential scale. That’s why we designed the datacenter, GPU fleet, and network together as one integrated system. This ensures a single job can run from day 1 at exponential scale across thousands of GPUs. Fairwater uses a liquid-cooled closed-loop system for cooling GPUs that requires zero water for operations after construction. And we’re matching all of the energy that is consumed with renewable sources. And of course, it is just one of several similar sites we’re lighting up across our 70+ regions. We have multiple identical Fairwater datacenters under construction in other locations across the US, in addition to our AI infrastructure already deployed in over 100 datacenters around the world, powering model training, test-time compute, RL tuning, and real-time inference at global scale. Too often during times like this, people go with the current and only later wonder, how did we get here? With Fairwater, we're charting a new path: doing the hard engineering work, bringing compute, network, and storage into one highly scaled cluster, and designing closed-loop energy systems to meet real-world computing needs. And partnering with local communities to ensure it's thoughtfully done in a way that is sustainable, creates new jobs, and expands opportunity. We are thrilled to see this take hold in Wisconsin, and we are just getting started.
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If intelligence is the log of compute… it starts with a lot of compute! And that’s why we’re scaling our GPU fleet faster than anyone else. Just last year, we added over 2 gigawatts of new capacity – roughly the output of 2 nuclear power plants. And today we’re going further, announcing the world's most powerful AI datacenter, located in southeastern Wisconsin. Fairwater is a seamless cluster of hundreds of thousands of NVIDIA GB200s, connected by enough fiber to circle the Earth 4.5 times. It will deliver 10x the performance of the world’s fastest supercomputer today, enabling AI training and inference workloads at a level never before seen. For AI training workloads, you need compute at exponential scale. That’s why we designed the datacenter, GPU fleet, and network together as one integrated system. This ensures a single job can run from day 1 at exponential scale across thousands of GPUs. Fairwater uses a liquid-cooled closed-loop system for cooling GPUs that requires zero water for operations after construction. And we’re matching all of the energy that is consumed with renewable sources. And of course, it is just one of several similar sites we’re lighting up across our 70+ regions. We have multiple identical Fairwater datacenters under construction in other locations across the US, in addition to our AI infrastructure already deployed in over 100 datacenters around the world, powering model training, test-time compute, RL tuning, and real-time inference at global scale. Too often during times like this, people go with the current and only later wonder, how did we get here? With Fairwater, we're charting a new path: doing the hard engineering work, bringing compute, network, and storage into one highly scaled cluster, and designing closed-loop energy systems to meet real-world computing needs. And partnering with local communities to ensure it's thoughtfully done in a way that is sustainable, creates new jobs, and expands opportunity. We are thrilled to see this take hold in Wisconsin, and we are just getting started.

Satya Nadella

2,024,356 просмотров • 11 месяцев назад

Elon Musk: “America is 1,000% going to go bankrupt and fail as a country without AI and robotics” The U.S. is already paying over $1 trillion a year just in interest on the national debt The only real escape is enormous productivity growth AI → intelligence at near-zero marginal cost Robots → physical labor at massive scale Together they can dramatically increase economic output, lower the cost of goods and services and expand the tax base The race is basically: Can we build AI + robotics fast enough to unlock abundance before the debt becomes impossible to outrun?
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Elon Musk: “America is 1,000% going to go bankrupt and fail as a country without AI and robotics” The U.S. is already paying over $1 trillion a year just in interest on the national debt The only real escape is enormous productivity growth AI → intelligence at near-zero marginal cost Robots → physical labor at massive scale Together they can dramatically increase economic output, lower the cost of goods and services and expand the tax base The race is basically: Can we build AI + robotics fast enough to unlock abundance before the debt becomes impossible to outrun?

X Freeze

274,350 просмотров • 2 дней назад