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Testing image-to-CAD for SR Platform on a new set of GPUs 🔥 We are working with lium.io (SN51) to showcase the efficiency of decentralized compute for SR Platform — from CAD generation to RL training and sim-to-real validation What it means: > Flexible, on-demand rental for us. Pay with... show more

Strike Robot

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📢 NEURALAI X 🤩 NeuralAI is extraordinarily excited to reveal that we have started working closely with Akash Network, the world's premier decentralized compute marketplace! ✔️ The offerings of align perfectly with the vision and roadmap of NeuralAI, making this collaboration extremely significant for NeuralAI. For a start, NeuralAI will run inference on Akash based on our 3D #AI model and prepare TAO miners for reward-yielding subnets. NeuralAI will also leverage Akash's powerful GPUs to enhance our #AI #model training. Currently, provides us with 56 powerful A6000 GPUs, scalable on demand. ✔️ NeuralAI also gets highly competitive pricing from Akash Network, significantly lower than any other compute provider in the world. The lower pricing is possible partially thanks to the crypto-driven incentives within Akash Network, making it an excellent opportunity for NeuralAI to leverage. The synergy with Akash Network is a big leap forward, fueling our mission of becoming the #1 AI-driven 3D asset generator subnet on Bittensor. ✔️ We look forward to our close work with , we are certain with their support we will be able to secure a unique edge in the market! Stay tuned for exciting updates and developments.

📢 NEURALAI X 🤩 NeuralAI is extraordinarily excited to reveal that we have started working closely with Akash Network, the world's premier decentralized compute marketplace! ✔️ The offerings of align perfectly with the vision and roadmap of NeuralAI, making this collaboration extremely significant for NeuralAI. For a start, NeuralAI will run inference on Akash based on our 3D #AI model and prepare TAO miners for reward-yielding subnets. NeuralAI will also leverage Akash's powerful GPUs to enhance our #AI #model training. Currently, provides us with 56 powerful A6000 GPUs, scalable on demand. ✔️ NeuralAI also gets highly competitive pricing from Akash Network, significantly lower than any other compute provider in the world. The lower pricing is possible partially thanks to the crypto-driven incentives within Akash Network, making it an excellent opportunity for NeuralAI to leverage. The synergy with Akash Network is a big leap forward, fueling our mission of becoming the #1 AI-driven 3D asset generator subnet on Bittensor. ✔️ We look forward to our close work with , we are certain with their support we will be able to secure a unique edge in the market! Stay tuned for exciting updates and developments.

NeuralAI

241,364 Aufrufe • vor 2 Jahren

Smart contracts can't read the world, so we bolt on layers: ❖ Oracles for data ❖ Keepers to schedule ❖ Co-processors for compute Every fix adds layers of trust to a trustless system. Ritual restores trustlessness to the L1, with all the world's compute natively onchain.

Smart contracts can't read the world, so we bolt on layers: ❖ Oracles for data ❖ Keepers to schedule ❖ Co-processors for compute Every fix adds layers of trust to a trustless system. Ritual restores trustlessness to the L1, with all the world's compute natively onchain.

Ritual Foundation

24,583 Aufrufe • vor 2 Monaten

Announcing ComputeConnect, the financial industry’s first exchange-for-physical (EFP) network for compute, coming soon from Architect and Compute Desk. ComputeConnect links US exchange-traded compute futures to compute capacity delivery. Exchange-listed cash-settled compute futures are entering US markets to correct course on the current AI economy, reorienting debt to long-term growth: • Creating price discovery and transparency independent of any single capacity provider. • Establishing a forward curve for measuring deprecation and forecasting supply and demand. • Providing financial hedges for compute consumers and producers. • Enabling hedge funds, ETF companies, and traders to gain long and short financial exposure to compute. US cash-settled compute futures lack a physical delivery mechanism, and ComputeConnect fills this gap. Existing physically settled futures such as energy and agriculturals require their clearing house (DCO) to set a uniform standard for the grade and delivery method for the underlying commodity. Compute, by contrast, is highly fragmented, heterogeneous, and rapidly evolving, making it infeasible for any single DCO to define and enforce comparable standards. ComputeConnect establishes a network of compute capacity providers and links the network with Architect’s US futures products using exchange-for-physicals (EFPs), OTC contracts in which futures positions are exchanged for the assets the futures track. EFPs allow counterparties to negotiate the grade, timing, location, and other characteristics of the commodity along with a basis tied to the futures settlement price. ComputeConnect will • Build a network of capacity providers and capacity marketplaces. • Establish an open protocol for members of the network to receive delivery requests and advertise available GPUs. • Publish standard basis tables for different SKUs, memory configurations, and locations for GPUs. • Book the futures legs of the transactions to Architect’s DCM, the American Innovation Exchange. • Facilitate and guarantee delivery of capacity using Compute Desk’s ComputeClear platform. The advancement of US AI is constrained at every link in the supply chain: materials, power, chips, capital… The American Innovation Exchange, ComputeConnect, and our industry partners aim to secure compute’s dominance as an American asset class.

Announcing ComputeConnect, the financial industry’s first exchange-for-physical (EFP) network for compute, coming soon from Architect and Compute Desk. ComputeConnect links US exchange-traded compute futures to compute capacity delivery. Exchange-listed cash-settled compute futures are entering US markets to correct course on the current AI economy, reorienting debt to long-term growth: • Creating price discovery and transparency independent of any single capacity provider. • Establishing a forward curve for measuring deprecation and forecasting supply and demand. • Providing financial hedges for compute consumers and producers. • Enabling hedge funds, ETF companies, and traders to gain long and short financial exposure to compute. US cash-settled compute futures lack a physical delivery mechanism, and ComputeConnect fills this gap. Existing physically settled futures such as energy and agriculturals require their clearing house (DCO) to set a uniform standard for the grade and delivery method for the underlying commodity. Compute, by contrast, is highly fragmented, heterogeneous, and rapidly evolving, making it infeasible for any single DCO to define and enforce comparable standards. ComputeConnect establishes a network of compute capacity providers and links the network with Architect’s US futures products using exchange-for-physicals (EFPs), OTC contracts in which futures positions are exchanged for the assets the futures track. EFPs allow counterparties to negotiate the grade, timing, location, and other characteristics of the commodity along with a basis tied to the futures settlement price. ComputeConnect will • Build a network of capacity providers and capacity marketplaces. • Establish an open protocol for members of the network to receive delivery requests and advertise available GPUs. • Publish standard basis tables for different SKUs, memory configurations, and locations for GPUs. • Book the futures legs of the transactions to Architect’s DCM, the American Innovation Exchange. • Facilitate and guarantee delivery of capacity using Compute Desk’s ComputeClear platform. The advancement of US AI is constrained at every link in the supply chain: materials, power, chips, capital… The American Innovation Exchange, ComputeConnect, and our industry partners aim to secure compute’s dominance as an American asset class.

Brett Harrison

28,476 Aufrufe • vor 2 Monaten

"Compute is the currency of the future." "Compute is the new OIL." Great, so how do I invest? You can play with the NVIDIA stock, or spin up an AI-Ready Data Center. Challenges of Spinning up AI-Ready Compute: Cost: Even a small cluster of H100 machines is upward to $10M GPU Scarcity: Unallocated or “underutilized” H100, A100, and RTX4090 GPUs are almost non-existent. Very Specific Physical & Technical Requirements: A data center with the right infrastructure is also very rare. There are only 10 in North America that deploy thousands of GPUs, in the open market. Domain Expertise: Teams of experts with the years of experience required to operate, deploy, and manage AI compute at scale are as rare as the GPUs they deploy. Exabits checks all of these boxes and we are the premier Compute Tokenization Platform. We are backed by REAL COMPUTE used by REAL CUSTOMERS.

"Compute is the currency of the future." "Compute is the new OIL." Great, so how do I invest? You can play with the NVIDIA stock, or spin up an AI-Ready Data Center. Challenges of Spinning up AI-Ready Compute: Cost: Even a small cluster of H100 machines is upward to $10M GPU Scarcity: Unallocated or “underutilized” H100, A100, and RTX4090 GPUs are almost non-existent. Very Specific Physical & Technical Requirements: A data center with the right infrastructure is also very rare. There are only 10 in North America that deploy thousands of GPUs, in the open market. Domain Expertise: Teams of experts with the years of experience required to operate, deploy, and manage AI compute at scale are as rare as the GPUs they deploy. Exabits checks all of these boxes and we are the premier Compute Tokenization Platform. We are backed by REAL COMPUTE used by REAL CUSTOMERS.

Exabits

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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 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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We’re thrilled to announce that Gata Decentralized GPU Cloud is now LIVE! Start today → Built to accelerate the decentralization of the open AI economy, Gata enables anyone, anywhere to access decentralized GPU infrastructure, to build, train, and deploy AI models with full transparency and efficiency. GPU credits are now available for purchase directly with $GATA, creating a seamless bridge between compute and the decentralized economy.

We’re thrilled to announce that Gata Decentralized GPU Cloud is now LIVE! Start today → Built to accelerate the decentralization of the open AI economy, Gata enables anyone, anywhere to access decentralized GPU infrastructure, to build, train, and deploy AI models with full transparency and efficiency. GPU credits are now available for purchase directly with $GATA, creating a seamless bridge between compute and the decentralized economy.

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What could scaling unlock for biology? Introducing ProGen3- our next AI foundation models for protein generation. We develop compute-optimal scaling laws up to 46B parameters on 1.5T tokens with real evidence in the wet lab. +we solve a new set of challenges for drug discovery

What could scaling unlock for biology? Introducing ProGen3- our next AI foundation models for protein generation. We develop compute-optimal scaling laws up to 46B parameters on 1.5T tokens with real evidence in the wet lab. +we solve a new set of challenges for drug discovery

Ali Madani

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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."

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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RL is a powerful mechanism for training company-specific models on their unique work and data. This is what we do at Applied Compute. A key challenge is how to make RL efficient, because we need runs to be fast (delivered in days), cheap (scalable unit economics), and predictable (not just fast, but reliably fast). Here are some takeaways: • Synchronous RL is wasteful with time and compute. • Asynchronous RL is more efficient but introduces staleness, which causes learning instabilities. • Modeling and simulations can help analytically solve for what configuration leads to optimal efficiency. This allows us to rapidly prototype training configurations, without burning expensive compute cycles on trial runs. Two of our co-founders, Rhythm Garg and Linden Li, discussed some of this research at AI Engineer recently, with a focus on the following subproblem: what is the highest throughput way to do RL given a maximum staleness and compute budget?

RL is a powerful mechanism for training company-specific models on their unique work and data. This is what we do at Applied Compute. A key challenge is how to make RL efficient, because we need runs to be fast (delivered in days), cheap (scalable unit economics), and predictable (not just fast, but reliably fast). Here are some takeaways: • Synchronous RL is wasteful with time and compute. • Asynchronous RL is more efficient but introduces staleness, which causes learning instabilities. • Modeling and simulations can help analytically solve for what configuration leads to optimal efficiency. This allows us to rapidly prototype training configurations, without burning expensive compute cycles on trial runs. Two of our co-founders, Rhythm Garg and Linden Li, discussed some of this research at AI Engineer recently, with a focus on the following subproblem: what is the highest throughput way to do RL given a maximum staleness and compute budget?

Applied Compute

45,652 Aufrufe • vor 9 Monaten

1/ Super excited to announce Onchain Dreamers, a highly-vetted private network of builders, and creators who are doing cool things to expand the onchain economy on Base. At @Onboardglobal, we want to make it easier for anyone, anywhere to come onchain

1/ Super excited to announce Onchain Dreamers, a highly-vetted private network of builders, and creators who are doing cool things to expand the onchain economy on Base. At @Onboardglobal, we want to make it easier for anyone, anywhere to come onchain

Yele | Onboard 🌐

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Learn how to Use the Blendr Platform 📚 Check out the video attached which will walk you through the Blendr Platform step-by-step. We are covering exactly how to Log onto the platform with your wallet, Lend your own GPUs and Rent other GPUs on the network. Once you're confident, head over to to try it out for yourself!

Learn how to Use the Blendr Platform 📚 Check out the video attached which will walk you through the Blendr Platform step-by-step. We are covering exactly how to Log onto the platform with your wallet, Lend your own GPUs and Rent other GPUs on the network. Once you're confident, head over to to try it out for yourself!

Blendr Network

24,382 Aufrufe • vor 2 Jahren

Excited to share a new humanoid robot platform we’ve been working on. Berkeley Humanoid is a reliable and low-cost mid-scale research platform for learning-based control. We demonstrate the robot walking on various terrains and dynamic hopping with a simple RL controller.

Excited to share a new humanoid robot platform we’ve been working on. Berkeley Humanoid is a reliable and low-cost mid-scale research platform for learning-based control. We demonstrate the robot walking on various terrains and dynamic hopping with a simple RL controller.

Qiayuan Liao

80,564 Aufrufe • vor 2 Jahren

We are excited to share a deeper look into the GPU Sharing Platform that will power AI applications on the InfraX V4 DApp. In this demo we showcase a GPU running and completing an image generation task. Our backend successfully leverages this GPU (and CPU) in real time to complete the job, earning the user money, and powering the infraX platform. Here’s how it works 👉 when you connect to the InfraX DApp, our platform automatically detects the GPU on your machine and immediately checks it eligibility and where it can be used. From there, each user dictates exactly how and when they want to contribute their GPU power by setting the days their PC is most available (throughout the night, for example). Additional, each user will be able to pause their GPU's connection to infraX whenever they need to use it locally, resuming with a just a single click. Once activated, your GPU seamlessly plugs into the InfraX network and begins fulfilling compute jobs, earning YOU money. Go on, take the $INFRA pill..

We are excited to share a deeper look into the GPU Sharing Platform that will power AI applications on the InfraX V4 DApp. In this demo we showcase a GPU running and completing an image generation task. Our backend successfully leverages this GPU (and CPU) in real time to complete the job, earning the user money, and powering the infraX platform. Here’s how it works 👉 when you connect to the InfraX DApp, our platform automatically detects the GPU on your machine and immediately checks it eligibility and where it can be used. From there, each user dictates exactly how and when they want to contribute their GPU power by setting the days their PC is most available (throughout the night, for example). Additional, each user will be able to pause their GPU's connection to infraX whenever they need to use it locally, resuming with a just a single click. Once activated, your GPU seamlessly plugs into the InfraX network and begins fulfilling compute jobs, earning YOU money. Go on, take the $INFRA pill..

infraX | $INFRA

30,615 Aufrufe • vor 1 Jahr

At LinqAI, we’ve been mission-driven since day one—building competitive, revenue-generating SaaS applications. As our product line has expanded and our customer base has grown, one thing has become clear: we have an opportunity to forge a deeper connection between our SaaS innovations and the Web3 ecosystem. As we scale our SaaS offerings, our demand for compute power continues to grow. Traditionally, paying for compute means sending value outside our ecosystem—resources spent elsewhere, never to return. But what if every compute cycle contributed to the LinqAI ecosystem itself? LinqProtocol is our answer. By transforming idle computers (PCs, laptops, servers, and in the future even phones) into a global compute network, we not only secure scalable and efficient infrastructure but also strengthen the utility of $LNQ—ensuring that every workload contributes to our own decentralized future. LinqProtocol allows for arbitrary compute which means that there are virtually no limits to what can be done on LinqProtocol. From AI Training, to Synthetic Data Generation, 3D Rendering and even hosting a Website - It's all possible on LinqProtocol. ✅ On-demand, scalable compute ✅ Transparent, fair-market pricing ✅ Trustless execution with real-time tracking ✅ Governance-based dispute resolution The future of compute isn’t just more efficient. It’s owned by those who use it. It’s decentralized. And it’s coming soon. $LNQ #LinqProtocol

At LinqAI, we’ve been mission-driven since day one—building competitive, revenue-generating SaaS applications. As our product line has expanded and our customer base has grown, one thing has become clear: we have an opportunity to forge a deeper connection between our SaaS innovations and the Web3 ecosystem. As we scale our SaaS offerings, our demand for compute power continues to grow. Traditionally, paying for compute means sending value outside our ecosystem—resources spent elsewhere, never to return. But what if every compute cycle contributed to the LinqAI ecosystem itself? LinqProtocol is our answer. By transforming idle computers (PCs, laptops, servers, and in the future even phones) into a global compute network, we not only secure scalable and efficient infrastructure but also strengthen the utility of $LNQ—ensuring that every workload contributes to our own decentralized future. LinqProtocol allows for arbitrary compute which means that there are virtually no limits to what can be done on LinqProtocol. From AI Training, to Synthetic Data Generation, 3D Rendering and even hosting a Website - It's all possible on LinqProtocol. ✅ On-demand, scalable compute ✅ Transparent, fair-market pricing ✅ Trustless execution with real-time tracking ✅ Governance-based dispute resolution The future of compute isn’t just more efficient. It’s owned by those who use it. It’s decentralized. And it’s coming soon. $LNQ #LinqProtocol

LinqAI

239,673 Aufrufe • vor 1 Jahr

Base has been home since 2024. We're building the world's largest decentralized telecom network and it settles to Base. Users can join the global telecom sharing economy, entirely onchain on Base in all aspects of our network. 3M+ daily active users utilize our network, and as we enter the next phase of scaling this video showcases what World Mobile already does on Base: Privacy First cellular phone plans, the first ones that pay you back, owning the core infrastructure of the network and earning rewards in stables, building the network, all transactions onchain settling to base and empowering base native communities like TOSHI We are spearheading the push for global adoption of a new onchain economy, built by all of us for all of us. World Mobile is live on Base

Base has been home since 2024. We're building the world's largest decentralized telecom network and it settles to Base. Users can join the global telecom sharing economy, entirely onchain on Base in all aspects of our network. 3M+ daily active users utilize our network, and as we enter the next phase of scaling this video showcases what World Mobile already does on Base: Privacy First cellular phone plans, the first ones that pay you back, owning the core infrastructure of the network and earning rewards in stables, building the network, all transactions onchain settling to base and empowering base native communities like TOSHI We are spearheading the push for global adoption of a new onchain economy, built by all of us for all of us. World Mobile is live on Base

World Mobile

21,566 Aufrufe • vor 6 Monaten

🕉️ #MANTRA Brings Real-World Assets Onchain with #Mainnet Launch. We’re thrilled to announce that the highly anticipated launch of the MANTRA Chain Mainnet will be coming in October 2024. 🔥As part of MANTRA’s vision to become the preferred ledger of record for real-world assets, the MANTRA Chain Mainnet will include key features such as: 🔒Verifiable network security and stability, mitigating counterparty risk ✅A trusted platform to deploy institutional capital onchain 👀A foundation for a globally accessible asset class, unlocking the multi-trillion dollar real-world asset economy "The launch of our Mainnet marks the culmination of years of work to bring finance onchain. We are thrilled to be at the forefront of bridging the gap between traditional and decentralized finance,” said JP Mullin (🕉, 🏘️), CEO & Co-Founder of MANTRA. “By providing on-ramps for tokens and stablecoins with world class stability and reliability, we believe MANTRA Chain will be the leading global destination for businesses and industries to access onchain financing and asset tokenization." This milestone marks a significant step towards bringing traditional finance (TradFi) onchain and provides a new home for MANTRA's native token, $OM. We want to thank our Sherpas for their unwavering support on this transformative journey to pave the way for a more inclusive and compliant future for tokenized assets. 📝 Read more: $OM #HomeForRWAs #OMtober

🕉️ #MANTRA Brings Real-World Assets Onchain with #Mainnet Launch. We’re thrilled to announce that the highly anticipated launch of the MANTRA Chain Mainnet will be coming in October 2024. 🔥As part of MANTRA’s vision to become the preferred ledger of record for real-world assets, the MANTRA Chain Mainnet will include key features such as: 🔒Verifiable network security and stability, mitigating counterparty risk ✅A trusted platform to deploy institutional capital onchain 👀A foundation for a globally accessible asset class, unlocking the multi-trillion dollar real-world asset economy "The launch of our Mainnet marks the culmination of years of work to bring finance onchain. We are thrilled to be at the forefront of bridging the gap between traditional and decentralized finance,” said JP Mullin (🕉, 🏘️), CEO & Co-Founder of MANTRA. “By providing on-ramps for tokens and stablecoins with world class stability and reliability, we believe MANTRA Chain will be the leading global destination for businesses and industries to access onchain financing and asset tokenization." This milestone marks a significant step towards bringing traditional finance (TradFi) onchain and provides a new home for MANTRA's native token, $OM. We want to thank our Sherpas for their unwavering support on this transformative journey to pave the way for a more inclusive and compliant future for tokenized assets. 📝 Read more: $OM #HomeForRWAs #OMtober

MANTRA | The EVM L1 for RWAs

130,761 Aufrufe • vor 2 Jahren

Sam Altman made some important remarks on the Cite Your Sources with Alex Heath: > Not worried about OpenAI's compute buildout plan; believes will use all of their compute very profitability > Concerned about "unsustainable silliness" of random new neoclouds popping up and claiming to build gigantic lines of compute without the revenue and customer to support. > Believes they can confidently pay for all of the compute they have committed to. > "Cost is no object" for compute. People believe they can build compute and someone will buy it at a higher price. > OpenAI has no plan of selling compute externally anytime soon. $NVDA $NBIS $AMD $MRVL $AVGO $IREN $CRWV

Sam Altman made some important remarks on the Cite Your Sources with Alex Heath: > Not worried about OpenAI's compute buildout plan; believes will use all of their compute very profitability > Concerned about "unsustainable silliness" of random new neoclouds popping up and claiming to build gigantic lines of compute without the revenue and customer to support. > Believes they can confidently pay for all of the compute they have committed to. > "Cost is no object" for compute. People believe they can build compute and someone will buy it at a higher price. > OpenAI has no plan of selling compute externally anytime soon. $NVDA $NBIS $AMD $MRVL $AVGO $IREN $CRWV

P Equity Research 📰

127,604 Aufrufe • vor 17 Tagen