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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...

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infraX | $INFRA

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30,615 views • 11 months ago •via X (Twitter)

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Transforming AI with $INFRA: Simple, Powerful, Decentralized InfraX Network is redefining AI by delivering cutting-edge GPU nodes that fuel innovation and scalability. By decentralizing GPU and AI resources, $INFRA gives industries the flexibility and efficiency they need to thrive. With a no-code platform and an integrated marketplace, InfraX makes hosting AI models easy—even for those without coding expertise. Users can tap into a global network of AI nodes effortlessly. The future of AI is accessible, decentralized, and limitless. 0x06180a720bb9a07ca18ee7dc42f2686b622541b5
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Transforming AI with $INFRA: Simple, Powerful, Decentralized InfraX Network is redefining AI by delivering cutting-edge GPU nodes that fuel innovation and scalability. By decentralizing GPU and AI resources, $INFRA gives industries the flexibility and efficiency they need to thrive. With a no-code platform and an integrated marketplace, InfraX makes hosting AI models easy—even for those without coding expertise. Users can tap into a global network of AI nodes effortlessly. The future of AI is accessible, decentralized, and limitless. 0x06180a720bb9a07ca18ee7dc42f2686b622541b5

Crypto Man

19,689 views • 1 year ago

Blendr's Beta Platform is Now Live 🖥 Our GPU Renting and Lending platform is officially live and you can use it now at Watch the tutorial video attached to this post to discover how to use the platform and read on to understand exactly how it works! 🔄 On-Demand Instance Creation Instead of keeping GPUs running 24/7 on the cloud, which can be very costly, AWS instances are created as and when they are requested to prevent unnecessary costs and inefficiency. 🔒 Secure Access A new set of SSH keys are generated for each instance for the user to download and login with. This ensures that only the current renter has access to their instance. 🔧 Instance Management Blendr’s Instance Manager service automatically terminates the instance after the rental period ends which ensures efficient use of resources. 📊 Transaction Tracking Users can view their transaction history through the dedicated Transaction Tab for ease of use and management. 💰 Lend Your Own GPU Power If you have spare GPU Capacity, you can join Blendr’s decentralization movement and leverage it to make some extra money! All you need to do is head to the Blendr CLI at to download our CLI tool, connect your GPU, and start contributing to the network. Dive in and utilise the power of decentralized GPU computing today!
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Blendr's Beta Platform is Now Live 🖥 Our GPU Renting and Lending platform is officially live and you can use it now at Watch the tutorial video attached to this post to discover how to use the platform and read on to understand exactly how it works! 🔄 On-Demand Instance Creation Instead of keeping GPUs running 24/7 on the cloud, which can be very costly, AWS instances are created as and when they are requested to prevent unnecessary costs and inefficiency. 🔒 Secure Access A new set of SSH keys are generated for each instance for the user to download and login with. This ensures that only the current renter has access to their instance. 🔧 Instance Management Blendr’s Instance Manager service automatically terminates the instance after the rental period ends which ensures efficient use of resources. 📊 Transaction Tracking Users can view their transaction history through the dedicated Transaction Tab for ease of use and management. 💰 Lend Your Own GPU Power If you have spare GPU Capacity, you can join Blendr’s decentralization movement and leverage it to make some extra money! All you need to do is head to the Blendr CLI at to download our CLI tool, connect your GPU, and start contributing to the network. Dive in and utilise the power of decentralized GPU computing today!

Blendr Network

130,453 views • 2 years ago

AIRian is thrilled to announce a strategic partnership with io.net, a leading decentralized GPU compute platform. 🤝 This collaboration marks a significant milestone for AIRian as we embark on building the largest Web 3.0 running community. 🚀 With the support of we’ll be deploying and expanding GPU compute resources to power an active user community. AIRian’s application and platform will collect all the data people generate in their daily lives including walking, running, marathon, and healthcare related data and create extensive Sports-AI models focused on running behavior, statistics, etc. AIRian will also expand into GPS-based applications including competitions, Web3 games, and more. 🏃🏻🏃‍♂️🏃‍♀️ The frictionless access to GPU compute will allow us to easily accommodate our rollout and meet compute demands when we need it, as we need it. AIRian. Binance $AIR #AIRian #AIR #ionet #DePin #AI #SportsAI #dApp #socialFi
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AIRian is thrilled to announce a strategic partnership with io.net, a leading decentralized GPU compute platform. 🤝 This collaboration marks a significant milestone for AIRian as we embark on building the largest Web 3.0 running community. 🚀 With the support of we’ll be deploying and expanding GPU compute resources to power an active user community. AIRian’s application and platform will collect all the data people generate in their daily lives including walking, running, marathon, and healthcare related data and create extensive Sports-AI models focused on running behavior, statistics, etc. AIRian will also expand into GPS-based applications including competitions, Web3 games, and more. 🏃🏻🏃‍♂️🏃‍♀️ The frictionless access to GPU compute will allow us to easily accommodate our rollout and meet compute demands when we need it, as we need it. AIRian. Binance $AIR #AIRian #AIR #ionet #DePin #AI #SportsAI #dApp #socialFi

AIRian.

66,192 views • 2 years ago

Revolutionizing Access to #GPU Power - One Node at a Time.⚡️ Our 10th Utility is coming out on June 20.🚨 BIG GPU Nodes Platform isn’t just another name in the crowded GPU cloud services space, we’re a game-changer. Our platform is purpose-built to bridge the gap between server owners and those hungry for raw, high-performance computing power. 🖥️ We specialize in connecting suppliers from individual server owners to enterprise-scale GPU rig operators with consumers who demand serious horsepower for AI, machine learning, data science, and other compute-heavy applications. Whether you’re offering a sleek single-GPU setup or a massive mining-style array with multiple GPUs, BIG GPU Nodes is your launchpad. We make it simple to rent out underutilized GPU resources and just as easy for users to find exactly what they need — fast, affordable, and tailored to their workload.⛓️‍💥 This is more than cloud computing. This is decentralized GPU power for the future of innovation. ♾️ This product will generate revenue and we will give back to our loyal $CNCT holders. ✨ We’re proud to have MESSIER | M87 as our trusted partner and advisor, backing us with this vision. #M87 🤝 $CNCT From the very beginning, we promised you ONE BIG ECOSYSTEM, and a seamless space where everything you need comes together. Now, that vision is becoming reality. Millions of users will soon be connected, working, creating, and thriving within it. 🌍
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Revolutionizing Access to #GPU Power - One Node at a Time.⚡️ Our 10th Utility is coming out on June 20.🚨 BIG GPU Nodes Platform isn’t just another name in the crowded GPU cloud services space, we’re a game-changer. Our platform is purpose-built to bridge the gap between server owners and those hungry for raw, high-performance computing power. 🖥️ We specialize in connecting suppliers from individual server owners to enterprise-scale GPU rig operators with consumers who demand serious horsepower for AI, machine learning, data science, and other compute-heavy applications. Whether you’re offering a sleek single-GPU setup or a massive mining-style array with multiple GPUs, BIG GPU Nodes is your launchpad. We make it simple to rent out underutilized GPU resources and just as easy for users to find exactly what they need — fast, affordable, and tailored to their workload.⛓️‍💥 This is more than cloud computing. This is decentralized GPU power for the future of innovation. ♾️ This product will generate revenue and we will give back to our loyal $CNCT holders. ✨ We’re proud to have MESSIER | M87 as our trusted partner and advisor, backing us with this vision. #M87 🤝 $CNCT From the very beginning, we promised you ONE BIG ECOSYSTEM, and a seamless space where everything you need comes together. Now, that vision is becoming reality. Millions of users will soon be connected, working, creating, and thriving within it. 🌍

Fixera AI

26,681 views • 1 year ago

⬛️ Our V3 DApp is now officially live, marking the start of a new era in infraX. Enjoy unrestricted access to our V3 Platform at: Our V3 DApp marks a pivotal point in development for us at infraX, as we unveil a platform boasting highly bolstered infrastructure, allowing for unlimited developmental scope over the coming months. Users can expect a full DevLog post tomorrow, detailing all of the upgrades made on both the back and frontend of our V3 platform. Although not all upgrades will be immediately visible, our strategic development initiatives will soon become clear. Remember, Infrastructure Exemplified. $INFRA
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infraX | $INFRA

32,989 views • 1 year ago

We spoke with Gaurav Sharma (Gaurav_IO), who brought his experience from Binance, Agoda, Amazon, and Ebay, to become the CTO of io.net. Ionet is a decentralized computing platform that provides affordable and efficient access to GPU resources. It is able to compete with incumbents like Amazon and Google by using decentralized tech to aggregate GPU inventory from various sources, including tier two data centers. This interview covers: -IOnet’s early days -The power of decentralized GPU networks -The new opportunity in AI
24:22

We spoke with Gaurav Sharma (Gaurav_IO), who brought his experience from Binance, Agoda, Amazon, and Ebay, to become the CTO of io.net. Ionet is a decentralized computing platform that provides affordable and efficient access to GPU resources. It is able to compete with incumbents like Amazon and Google by using decentralized tech to aggregate GPU inventory from various sources, including tier two data centers. This interview covers: -IOnet’s early days -The power of decentralized GPU networks -The new opportunity in AI

Bitcoin.com News

58,322 views • 1 year ago

This is cool, Elon Musk says SpaceX will allow their customers to use any GPU or TPU they want in SpaceX AI Satellites. "We do intend with our SpaceX AI Satellites to allow people to put whatever GPU or TPU they want. So Nvidia GPUS can be put on it, Google TPUs can be put on it, Amazon Trainium, or any other chips people want to put on. It will be such that you can run anyone’s AI, hardware or software on the SpaceX AI Satellites." An open platform design is so smart.
0:44

This is cool, Elon Musk says SpaceX will allow their customers to use any GPU or TPU they want in SpaceX AI Satellites. "We do intend with our SpaceX AI Satellites to allow people to put whatever GPU or TPU they want. So Nvidia GPUS can be put on it, Google TPUs can be put on it, Amazon Trainium, or any other chips people want to put on. It will be such that you can run anyone’s AI, hardware or software on the SpaceX AI Satellites." An open platform design is so smart.

Nic Cruz Patane

115,448 views • 2 months ago

Tony Blair and Oracle co-founder Larry Ellison plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" their AI models. "We have to take all of this data... and move it into a single... unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."
1:06

Tony Blair and Oracle co-founder Larry Ellison plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" their AI models. "We have to take all of this data... and move it into a single... unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

Wide Awake Media

54,141 views • 9 months ago

#Jasmy and #Janction are entering a new phase of expansion. The team aims to make its platform even more accessible, particularly by simplifying the development environment for application creators. A key focus is the introduction of an English interface, clearer documentation, and enhanced technical support. At the same time, #Jasmy is intensifying its international efforts, with particular attention to Southeast Asia. The year 2025 promises stronger communications and several major announcements ahead. Janction, on its part, has undergone a major transformation. It is no longer just a side project but now a true decentralized physical infrastructure built on a simple idea: everyone should be able to own and benefit from their own assets, including their data and computing power. Today, artificial intelligence, image generation, video rendering, and large-scale data processing all heavily rely on a single resource: the GPU. Originally designed for gaming, GPUs have become essential for any task that requires massive parallel processing. Unlike CPUs, GPUs can execute thousands of operations simultaneously, making them ideal for machine learning and AI models. However, this exponential demand has led to a global shortage. GPU prices are skyrocketing, lead times stretch up to a year, and the market is dominated by a few major players. In Japan and across Asia, the situation is especially strained. This is where Janction steps in with a disruptive approach. The idea is to allow any user to share an unused GPU, whether it’s in a gaming PC, a company server, a university lab, or even a cybercafé. In return, the owner gets paid. And to make this process smooth, simple, and secure, Janction relies on Docker technology. To visualize this, imagine a box containing everything needed to run an application, the code, libraries, and required files. Thanks to Docker, this box can be sent and run on any computer without conflicts or manual setup. This allows Janction to distribute AI or processing tasks across its network seamlessly. Each user receives a container, runs it via their GPU, and is paid automatically through smart contracts deployed on the network. The system is based on a fixed-rate subleasing model. Even if the GPU isn’t used 24/7, the owner still earns income. This is an ideal solution for schools, creative studios, researchers, or startups that have available resources but variable needs. Today, over 4,500 GPU nodes are already active in Japan, Hong Kong, and Singapore. The network offers fast block times and 99.9% reliability. The goal is ambitious: reach 100,000 nodes. To achieve this, Janction is targeting six main markets: AI startups, 3D and video studios, streaming platforms, research centers, game developers, and of course, owners of underutilized GPUs. At the same time, an Ethereum-based JANCTION token is in preparation. It will be used to reserve GPU power, participate in the ecosystem, and unlock additional rewards, including JASMY tokens. This dual-incentive system is designed to encourage the large-scale acquisition, sharing, and use of GPU power. The tokens will be tradable, storable, or reinvestable into hardware to further strengthen the network. #Janction’s strategy is clear, first, establish strong liquidity on recognized exchanges, then open access to a broad investor base, especially in #Japan, South Korea, and the United States.
3:23

#Jasmy and #Janction are entering a new phase of expansion. The team aims to make its platform even more accessible, particularly by simplifying the development environment for application creators. A key focus is the introduction of an English interface, clearer documentation, and enhanced technical support. At the same time, #Jasmy is intensifying its international efforts, with particular attention to Southeast Asia. The year 2025 promises stronger communications and several major announcements ahead. Janction, on its part, has undergone a major transformation. It is no longer just a side project but now a true decentralized physical infrastructure built on a simple idea: everyone should be able to own and benefit from their own assets, including their data and computing power. Today, artificial intelligence, image generation, video rendering, and large-scale data processing all heavily rely on a single resource: the GPU. Originally designed for gaming, GPUs have become essential for any task that requires massive parallel processing. Unlike CPUs, GPUs can execute thousands of operations simultaneously, making them ideal for machine learning and AI models. However, this exponential demand has led to a global shortage. GPU prices are skyrocketing, lead times stretch up to a year, and the market is dominated by a few major players. In Japan and across Asia, the situation is especially strained. This is where Janction steps in with a disruptive approach. The idea is to allow any user to share an unused GPU, whether it’s in a gaming PC, a company server, a university lab, or even a cybercafé. In return, the owner gets paid. And to make this process smooth, simple, and secure, Janction relies on Docker technology. To visualize this, imagine a box containing everything needed to run an application, the code, libraries, and required files. Thanks to Docker, this box can be sent and run on any computer without conflicts or manual setup. This allows Janction to distribute AI or processing tasks across its network seamlessly. Each user receives a container, runs it via their GPU, and is paid automatically through smart contracts deployed on the network. The system is based on a fixed-rate subleasing model. Even if the GPU isn’t used 24/7, the owner still earns income. This is an ideal solution for schools, creative studios, researchers, or startups that have available resources but variable needs. Today, over 4,500 GPU nodes are already active in Japan, Hong Kong, and Singapore. The network offers fast block times and 99.9% reliability. The goal is ambitious: reach 100,000 nodes. To achieve this, Janction is targeting six main markets: AI startups, 3D and video studios, streaming platforms, research centers, game developers, and of course, owners of underutilized GPUs. At the same time, an Ethereum-based JANCTION token is in preparation. It will be used to reserve GPU power, participate in the ecosystem, and unlock additional rewards, including JASMY tokens. This dual-incentive system is designed to encourage the large-scale acquisition, sharing, and use of GPU power. The tokens will be tradable, storable, or reinvestable into hardware to further strengthen the network. #Janction’s strategy is clear, first, establish strong liquidity on recognized exchanges, then open access to a broad investor base, especially in #Japan, South Korea, and the United States.

NeoXtrix

44,354 views • 1 year ago

GPU by hand ✍️ I drew 42 frames to show how a GPU speeds up an array operation of 8 elements in parallel over 4 threads in 2 clock cycles. Below is an overview: CPU • It has one core. • Its global memory has 120 locations (0-119). • To use the GPU, it needs to copy data from the global memory to the GPU. • After GPU is done, it will copy the results back. GPU • It has four cores to run four threads (0-3). • It has a register file of 28 locations (0-27) • This register file has four banks (0-3). • All threads share the same register file. • But they must read/write using the four banks. • Each bank allows 2 reads (Read 0, Read 1) and 1 write in a single clock cycle.
0:42

GPU by hand ✍️ I drew 42 frames to show how a GPU speeds up an array operation of 8 elements in parallel over 4 threads in 2 clock cycles. Below is an overview: CPU • It has one core. • Its global memory has 120 locations (0-119). • To use the GPU, it needs to copy data from the global memory to the GPU. • After GPU is done, it will copy the results back. GPU • It has four cores to run four threads (0-3). • It has a register file of 28 locations (0-27) • This register file has four banks (0-3). • All threads share the same register file. • But they must read/write using the four banks. • Each bank allows 2 reads (Read 0, Read 1) and 1 write in a single clock cycle.

Tom Yeh

101,788 views • 1 year ago

Access codes will go out tomorrow via welcome emails. API status updates and full API access will follow on Friday. HdeAPoHivsm9MZfeY5tW7apJEprc8Fs594bWmnzfpump The $ICPX website has been rebuilt from the ground up and it reflects exactly where this protocol is headed. The new site is the gateway to decentralised compute powered by Nvidia and Google GPU cloud partner programs, meaning whenever you rent a GPU for a job, it is always available. No downtime, no waitlists. Enterprise grade H100s, H200s and RTX 4090s. Accessible to anyone, at a fraction of what centralised providers charge. Pay with $ICPX tokens and get immediate access to serious compute power. Stake $ICPX to unlock deeper discounts and watch your costs drop over time the more committed you are to the network. This is what pay-per-job decentralised compute actually looks like in practice. Full control over training and running your models, with a lean 0.25% protocol fee managed by multisig. Open-source, immutable, and formally verified with Kani. $
0:35

Access codes will go out tomorrow via welcome emails. API status updates and full API access will follow on Friday. HdeAPoHivsm9MZfeY5tW7apJEprc8Fs594bWmnzfpump The $ICPX website has been rebuilt from the ground up and it reflects exactly where this protocol is headed. The new site is the gateway to decentralised compute powered by Nvidia and Google GPU cloud partner programs, meaning whenever you rent a GPU for a job, it is always available. No downtime, no waitlists. Enterprise grade H100s, H200s and RTX 4090s. Accessible to anyone, at a fraction of what centralised providers charge. Pay with $ICPX tokens and get immediate access to serious compute power. Stake $ICPX to unlock deeper discounts and watch your costs drop over time the more committed you are to the network. This is what pay-per-job decentralised compute actually looks like in practice. Full control over training and running your models, with a lean 0.25% protocol fee managed by multisig. Open-source, immutable, and formally verified with Kani. $

ICPX Protocol

32,161 views • 1 month ago

PowerInfer - a high-speed inference engine for deploying LLMs locally. Just came across this super interesting project on speeding up inference. It's not MoE but it's a simple approach that exploits the high locality in LLM inference to design a GPU-CPU hybrid inference engine. Hot-activated neurons are preloaded onto the GPU for fast access, while cold-activated neurons (the majority) are computed on the CPU. This approach significantly reduces GPU memory demands and CPU-GPU data transfer. It achieves an average token generation rate of 13.20 tokens/s, with a peak of 29.08 tokens/s, across various LLMs on a single NVIDIA RTX 4090 GPU. It's on only 18% lower than that achieved by a top-tier server-grade A100 GPU. It also significantly outperforms llama.cpp by up to 11.69x while retaining model accuracy. There is a lot more innovation around inference that's coming fast. Really encouraged by the study on sparse computation to enhance the computational efficiency of LLMs. It's now possible to use PowerInfer with Llama 2 and Faclon 40B. Mistral-7B support is coming soon!
0:56

PowerInfer - a high-speed inference engine for deploying LLMs locally. Just came across this super interesting project on speeding up inference. It's not MoE but it's a simple approach that exploits the high locality in LLM inference to design a GPU-CPU hybrid inference engine. Hot-activated neurons are preloaded onto the GPU for fast access, while cold-activated neurons (the majority) are computed on the CPU. This approach significantly reduces GPU memory demands and CPU-GPU data transfer. It achieves an average token generation rate of 13.20 tokens/s, with a peak of 29.08 tokens/s, across various LLMs on a single NVIDIA RTX 4090 GPU. It's on only 18% lower than that achieved by a top-tier server-grade A100 GPU. It also significantly outperforms llama.cpp by up to 11.69x while retaining model accuracy. There is a lot more innovation around inference that's coming fast. Really encouraged by the study on sparse computation to enhance the computational efficiency of LLMs. It's now possible to use PowerInfer with Llama 2 and Faclon 40B. Mistral-7B support is coming soon!

elvis

261,622 views • 2 years ago

🌋Comput3 will launch on xxx the launchpad cooked up by elizaOS ⚡️The Comput3 platform is live and currently has 10 customers actively building on top of the platform. Including: RoOLZ 🔋The Comput3 token: $COM will be fair launched on xxx 💻$COM can be used from day 2 to pay for our GPU's, and API keys for Inference or Video Generation. 🫶It will also play a key-role in onboarding developers, rewarding github commits, our marketplace, and our upcoming decentralised GPU infrastructure. 🧙‍♀️Our Platform is currently live and is cooked up by a group of 4 ex. AWS, Nvidia, Salesforce engineers. 🔥By Connecting your Phantom wallet on our website you'll receive one hour of free GPU time. After that you can pay in $sol 👇Checkout one of the things you can run on Comput3
1:29

🌋Comput3 will launch on xxx the launchpad cooked up by elizaOS ⚡️The Comput3 platform is live and currently has 10 customers actively building on top of the platform. Including: RoOLZ 🔋The Comput3 token: $COM will be fair launched on xxx 💻$COM can be used from day 2 to pay for our GPU's, and API keys for Inference or Video Generation. 🫶It will also play a key-role in onboarding developers, rewarding github commits, our marketplace, and our upcoming decentralised GPU infrastructure. 🧙‍♀️Our Platform is currently live and is cooked up by a group of 4 ex. AWS, Nvidia, Salesforce engineers. 🔥By Connecting your Phantom wallet on our website you'll receive one hour of free GPU time. After that you can pay in $sol 👇Checkout one of the things you can run on Comput3

Comput3 AI 🌋

65,146 views • 1 year ago

▶️ Solidus Ai Tech GPU Marketplace: First Look Video! 🌟 Introducing our GPU Marketplace preview! Access high-quality computing power economically from our cutting-edge HPC Data Center in Europe. Choose from a wide range of GPU options from global vendors with just a few clicks. 🔹Marketplace Offers: - Easy management of your resources - Choosing your GPU Instance - Customize your OS Template - Perpetual token burn using a portion of the profits on every transaction 🔸Benefits: - Part of AITECH Ecosystem - Economical and efficient - Streamlined processes - Reach a global audience - Maximize your returns - Deploy with a single click Solidus Ai Tech GPU Marketplace, ensures a swift, effortless, and cost-effective journey for both users and vendors. Our platform will provide seamless access to GPU power, real-time performance insights, and robust management tools. Join us to transform your computing experience.
2:35

▶️ Solidus Ai Tech GPU Marketplace: First Look Video! 🌟 Introducing our GPU Marketplace preview! Access high-quality computing power economically from our cutting-edge HPC Data Center in Europe. Choose from a wide range of GPU options from global vendors with just a few clicks. 🔹Marketplace Offers: - Easy management of your resources - Choosing your GPU Instance - Customize your OS Template - Perpetual token burn using a portion of the profits on every transaction 🔸Benefits: - Part of AITECH Ecosystem - Economical and efficient - Streamlined processes - Reach a global audience - Maximize your returns - Deploy with a single click Solidus Ai Tech GPU Marketplace, ensures a swift, effortless, and cost-effective journey for both users and vendors. Our platform will provide seamless access to GPU power, real-time performance insights, and robust management tools. Join us to transform your computing experience.

AITECH CLOUD NETWORK

82,395 views • 2 years ago

"Assassin’s Creed: Odyssey" map of Greece on a single 32,768 x 32,768 texture in the Browser. Virtual Texture tech in WebGL 2.0 The source is a 804 Mb PNG. Without Virtual Texture tech you'd need to download that and wait for a few seconds for your browser to decode it before you could use it. Your browser would then crash when it tries to upload it to the GPU :) If we imagine that the upload to the GPU would succeed - it would take 4Gb of VRAM. Virtual Texture loads immediately, because the image is split into small fixed-sized tiles with full LoD chain (mips) and uses 2048x2048, which is just 16 Mb of VRAM. Article:
1:30

"Assassin’s Creed: Odyssey" map of Greece on a single 32,768 x 32,768 texture in the Browser. Virtual Texture tech in WebGL 2.0 The source is a 804 Mb PNG. Without Virtual Texture tech you'd need to download that and wait for a few seconds for your browser to decode it before you could use it. Your browser would then crash when it tries to upload it to the GPU :) If we imagine that the upload to the GPU would succeed - it would take 4Gb of VRAM. Virtual Texture loads immediately, because the image is split into small fixed-sized tiles with full LoD chain (mips) and uses 2048x2048, which is just 16 Mb of VRAM. Article:

Alex Goldring

188,343 views • 7 months ago

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 crypto. > Diverse GPU options, powered by Openτensor Foundaτion's incentive alignment. > Lower equipment cost → higher margin for the network. Onchain robots, onchain compute.
0:25

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 crypto. > Diverse GPU options, powered by Openτensor Foundaτion's incentive alignment. > Lower equipment cost → higher margin for the network. Onchain robots, onchain compute.

Strike Robot

18,134 views • 2 months ago

The Way Forward & A New Chapter For AI powered by GamerHash AI & $GHX. Welcome to the future of bleeding edge connectivity and cloud infrastructure ⚡ GamerHash AI is the answer to the billion dollar question on how to offset the GPU scarcity, enable exponential growth of AI through utilizing consumer-level GPUs and establishing a powerful sharing economy by sourcing a global network of gamers. The synergy of our GPU #DePIN and blockchain for #AI #inference is the technology of the future that already works today. See you in the network!
1:01

The Way Forward & A New Chapter For AI powered by GamerHash AI & $GHX. Welcome to the future of bleeding edge connectivity and cloud infrastructure ⚡ GamerHash AI is the answer to the billion dollar question on how to offset the GPU scarcity, enable exponential growth of AI through utilizing consumer-level GPUs and establishing a powerful sharing economy by sourcing a global network of gamers. The synergy of our GPU #DePIN and blockchain for #AI #inference is the technology of the future that already works today. See you in the network!

GamerHash AI

1,866,164 views • 1 year ago