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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... show more

The Render Network

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31,483 次观看 • 6 个月前 •via X (Twitter)

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At #RenderCon Jules Urbach shared a view for the future of AI and decentralized compute, discussing how the industry is shifting from focusing on pre-training models towards inference time AI applications and agents that can run on The Render Network high performance consumer GPUs.

At #RenderCon Jules Urbach shared a view for the future of AI and decentralized compute, discussing how the industry is shifting from focusing on pre-training models towards inference time AI applications and agents that can run on The Render Network high performance consumer GPUs.

The Render Network

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Tuning AI models is an increasingly important task — and where DePIN thrives. As Emad discussed at #RenderCon, the future of AI relies on distributed compute platforms like The Render Network to tune, scale, and personalize agents across industries.

Tuning AI models is an increasingly important task — and where DePIN thrives. As Emad discussed at #RenderCon, the future of AI relies on distributed compute platforms like The Render Network to tune, scale, and personalize agents across industries.

The Render Network

16,764 次观看 • 1 年前

Tomorrow Jules Urbach kicks off #RenderCon with Ari Emanuel to share frontier neural rendering tech, built and tested on productions — rolling out to artists soon. 😏

Tomorrow Jules Urbach kicks off #RenderCon with Ari Emanuel to share frontier neural rendering tech, built and tested on productions — rolling out to artists soon. 😏

The Render Network

46,459 次观看 • 1 年前

As 2025 comes to a close, we’re celebrating the Top 10 moments of the year on the The Render Network, from 63M+ frames rendered and global creative collabs, to new product launches, Dispersed, SUBMERGE, and our first-ever RenderCon. And we’re just getting started. See you at RenderCon 2026.

As 2025 comes to a close, we’re celebrating the Top 10 moments of the year on the The Render Network, from 63M+ frames rendered and global creative collabs, to new product launches, Dispersed, SUBMERGE, and our first-ever RenderCon. And we’re just getting started. See you at RenderCon 2026.

The Render Network

13,014 次观看 • 6 个月前

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

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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RenderCon 2026 is a wrap! Thank you to every speaker, partner, and attendee who made #RC2026 what it was. See you at the next one.

RenderCon 2026 is a wrap! Thank you to every speaker, partner, and attendee who made #RC2026 what it was. See you at the next one.

The Render Network

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This week Jules Urbach joined CASEY and @permissionless to discuss how DePIN networks like The Render Network can leverage latent consumer GPU compute for next generation AI inference. Watch the full #Permissionless2024 panel here:

This week Jules Urbach joined CASEY and @permissionless to discuss how DePIN networks like The Render Network can leverage latent consumer GPU compute for next generation AI inference. Watch the full #Permissionless2024 panel here:

The Render Network

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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.

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 次观看 • 1 个月前

AI Compute —ubiquitous, invisible, and instant. Russ , Exabits Chief of Sales, on the future of compute: “You plug in your lamp, you get power. You don’t think about where it comes from. That’s our vision for GPUs—distributed, on-demand, and everywhere AI needs it.” Emerging providers like Exabits are the backbone of this shift—scaling infrastructure to meet global AI demand.

AI Compute —ubiquitous, invisible, and instant. Russ , Exabits Chief of Sales, on the future of compute: “You plug in your lamp, you get power. You don’t think about where it comes from. That’s our vision for GPUs—distributed, on-demand, and everywhere AI needs it.” Emerging providers like Exabits are the backbone of this shift—scaling infrastructure to meet global AI demand.

Exabits

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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. ⚡

🔥 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

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The future of compute is open. Vultr and AMD are delivering a collaborative, cloud-native ecosystem for next-gen enterprise applications. 📺 See why delivering AI at scale takes more than GPUs.

The future of compute is open. Vultr and AMD are delivering a collaborative, cloud-native ecosystem for next-gen enterprise applications. 📺 See why delivering AI at scale takes more than GPUs.

AMD

25,634 次观看 • 9 个月前

Climate change agendas come at a high cost. The U.S. is encouraging the EU to pursue COMMONSENSE policies that will lower global energy costs and expand economic growth.

Climate change agendas come at a high cost. The U.S. is encouraging the EU to pursue COMMONSENSE policies that will lower global energy costs and expand economic growth.

U.S. Department of Energy

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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)

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ANI

82,266 次观看 • 4 个月前

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🚨ELON: AI COMPUTE WILL BE CHEAPEST IN SPACE “Once we get solar domestically at scale and launch Starship at scale, the cheapest way to do AI compute will be in space. With full reusability, propellant cost per flight is close to a million dollars... That’s about a million dollars to transport 10 megawatts of AI compute.” Source: Philip Johnston

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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

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Six Five Media

26,975 次观看 • 29 天前

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."

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

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