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Destra Edge — $DSYNC From Idea to Reality Yesterday, we introduced Destra Edge. Today, we show you what it means. For too long, AI has lived in data centers. Expensive. Centralized. Controlled by a few. Meanwhile, billions of smartphones sit idle. Powerful GPUs. Doing nothing. That doesn’t make sense....

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Destra Network

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20,156 次观看 • 7 个月前 •via X (Twitter)

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Destra Edge — $DSYNC Early Development Demo This video shows an early demo of the Destra Edge mobile app currently under active development. This build shows: • wallet-based authentication • secure device registration • on-device GPU inference tasks • optional output verification for network quality • real-time contribution metrics This is a work-in-progress build. More refinements and features are in progress.
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Destra Edge — $DSYNC Early Development Demo This video shows an early demo of the Destra Edge mobile app currently under active development. This build shows: • wallet-based authentication • secure device registration • on-device GPU inference tasks • optional output verification for network quality • real-time contribution metrics This is a work-in-progress build. More refinements and features are in progress.

Destra Network

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Lightchain AI

18,665 次观看 • 11 个月前

🌟 Another Epic Sneak Peek: OptimAI Core Node’s Edge AI Computing Power! We’re excited to continue unveiling the upcoming OptimAI Core Node features! This time, we’re introducing Edge AI Computing, a game-changing feature that will make your devices even more powerful in contributing to the OptimAI Network. 🔥 What is Edge AI Computing? With the OptimAI Core Node, your device’s idle computing resources (CPU/GPU) and storage will be put to work, powering critical AI computing tasks, including: 🔸Edge Inference: Running real-time AI predictions directly on your device without sending data to centralized servers. 🔸Hot LLM Models: Accelerating large language models for high-speed NLP tasks. 🔸Generative AI Models and More: Contributing to the training and inference of cutting-edge generative AI, like text-to-image models, deep learning, and more. More Contributions, Bigger Rewards Await! This Edge AI Computing feature allows us to leverage the full potential of decentralized computing power, reducing latency, increasing efficiency, and making AI more accessible. The more you contribute, the bigger the rewards!🔥 Stay in the Loop—Start Today with OptimAI Lite Node! While the OptimAI Core Node is still in the works, you don’t have to wait to join the action. The more you contribute, the greater the rewards! Let’s build a stronger, smarter, and more decentralized AI network together. Stay tuned for more exciting updates! 🔸Extension Node: 🔸Telegram Node: 🔸Register at: #DePIN
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🌟 Another Epic Sneak Peek: OptimAI Core Node’s Edge AI Computing Power! We’re excited to continue unveiling the upcoming OptimAI Core Node features! This time, we’re introducing Edge AI Computing, a game-changing feature that will make your devices even more powerful in contributing to the OptimAI Network. 🔥 What is Edge AI Computing? With the OptimAI Core Node, your device’s idle computing resources (CPU/GPU) and storage will be put to work, powering critical AI computing tasks, including: 🔸Edge Inference: Running real-time AI predictions directly on your device without sending data to centralized servers. 🔸Hot LLM Models: Accelerating large language models for high-speed NLP tasks. 🔸Generative AI Models and More: Contributing to the training and inference of cutting-edge generative AI, like text-to-image models, deep learning, and more. More Contributions, Bigger Rewards Await! This Edge AI Computing feature allows us to leverage the full potential of decentralized computing power, reducing latency, increasing efficiency, and making AI more accessible. The more you contribute, the bigger the rewards!🔥 Stay in the Loop—Start Today with OptimAI Lite Node! While the OptimAI Core Node is still in the works, you don’t have to wait to join the action. The more you contribute, the greater the rewards! Let’s build a stronger, smarter, and more decentralized AI network together. Stay tuned for more exciting updates! 🔸Extension Node: 🔸Telegram Node: 🔸Register at: #DePIN

OptimAI Network

44,324 次观看 • 1 年前

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!
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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 次观看 • 1 年前

⚡Why Edge Compute Matters for the Future of Agentic AI AI isn’t just about smarter models, it’s about where they run. Centralized clouds are costly, slow, and controlled by a few. That’s not the future. 👉Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that don’t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.
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⚡Why Edge Compute Matters for the Future of Agentic AI AI isn’t just about smarter models, it’s about where they run. Centralized clouds are costly, slow, and controlled by a few. That’s not the future. 👉Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that don’t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.

OptimAI Network

43,620 次观看 • 11 个月前

Think of OptimAI as a living network - hundred thousands of nodes sensing the web, computing knowledge, verifying truth. Lite Nodes → surface signals & activity Edge Nodes → compute at the edge, background mining Core Nodes → crawl, embed, index, inference, validate & serve workloads Distributed across 179 countries, approaching 800,000 total installations and more than 6,000 Core Nodes online. Every node strengthens collective intelligence. Every contribution expands the data layer powering Agentic AI. This is AI not controlled, but co-created. Built for the People, by the People. Start your node and take part in the next era of intelligence:
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Think of OptimAI as a living network - hundred thousands of nodes sensing the web, computing knowledge, verifying truth. Lite Nodes → surface signals & activity Edge Nodes → compute at the edge, background mining Core Nodes → crawl, embed, index, inference, validate & serve workloads Distributed across 179 countries, approaching 800,000 total installations and more than 6,000 Core Nodes online. Every node strengthens collective intelligence. Every contribution expands the data layer powering Agentic AI. This is AI not controlled, but co-created. Built for the People, by the People. Start your node and take part in the next era of intelligence:

OptimAI Network

19,365 次观看 • 8 个月前

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Destra Network | $DSYNC We’re launching a new series on X to help our community understand the real power of Destra NPC & Primus. Platforms like Clawd have shown how AI can automate workflows and connect tools. But they are primitive But automation is only the first step. What we’re building with NPC & Primus goes much further. This series will cover: • How to use the NPC platform • How Primus thinks, plans, and executes independently • How full systems are built end-to-end by AI • Why native AI infrastructure outperforms simple integrations Most platforms focus on triggering actions. Primus doesn’t just connect apps—it designs logic, writes contracts, deploys infrastructure, and manages execution end to end. Below is a demo of Primus building a decentralized voting system from scratch. No templates, no rigid flows, no hand-holding—just fully autonomous systems. Good tools helped start the movement. NPC is defining the next phase. More episodes coming soon. — Destra Network

Destra Network

18,272 次观看 • 6 个月前

🇺🇸 ELON KILLED THE SMARTPHONE: "WE'RE NOT GOING TO HAVE A PHONE IN THE TRADITIONAL SENSE" No, Tesla isn't building a phone. They're leapfrogging the entire concept. The device in your pocket won't be a phone anymore. It'll be a super-thin AI edge node, basically a screen with radios that pings Grok/xAI servers for EVERYTHING in real time. No apps. No operating system. No local processing. Just instant photorealistic video generation, simulations, predictive actions (it orders your coffee before you know you want it), all streamed from the cloud like your brain is directly plugged into the AI. Exact quote that broke the internet: “We’re not going to have a phone in the traditional sense. What we’ll call a phone will really be an edge node for AI inference with some radios to connect.” This is already how Grok works in Tesla cars: voice in, server crunches, perfect response out. Now imagine that in your pocket, on steroids. The ultimate edge node is your brain talking directly to the AI, no screen needed. The smartphone dies in the next 5 years. The AI companion era begins. And xAI is building the brain of the entire thing. The future isn't a better iPhone. It's the death of the phone as we know it. Elon showed the blueprint. Source: Elon Musk, Joe Rogan, Sawyer Merritt
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🇺🇸 ELON KILLED THE SMARTPHONE: "WE'RE NOT GOING TO HAVE A PHONE IN THE TRADITIONAL SENSE" No, Tesla isn't building a phone. They're leapfrogging the entire concept. The device in your pocket won't be a phone anymore. It'll be a super-thin AI edge node, basically a screen with radios that pings Grok/xAI servers for EVERYTHING in real time. No apps. No operating system. No local processing. Just instant photorealistic video generation, simulations, predictive actions (it orders your coffee before you know you want it), all streamed from the cloud like your brain is directly plugged into the AI. Exact quote that broke the internet: “We’re not going to have a phone in the traditional sense. What we’ll call a phone will really be an edge node for AI inference with some radios to connect.” This is already how Grok works in Tesla cars: voice in, server crunches, perfect response out. Now imagine that in your pocket, on steroids. The ultimate edge node is your brain talking directly to the AI, no screen needed. The smartphone dies in the next 5 years. The AI companion era begins. And xAI is building the brain of the entire thing. The future isn't a better iPhone. It's the death of the phone as we know it. Elon showed the blueprint. Source: Elon Musk, Joe Rogan, Sawyer Merritt

Mario Nawfal

1,859,970 次观看 • 8 个月前

70,000 Phones, One AI Agent — The World's Largest Edge AI Fleet Runs on Hermes We turned 70,000 phones into a shared AI compute network. Any device owner contributes idle compute. Any developer taps distributed inference at a fraction of cloud cost. Not a concept. Not a whitepaper. 70K devices online today. The problem: orchestrating a shared network of heterogeneous edge devices — different chipsets, different memory, different thermal profiles, different owners — is a coordination nightmare no human team can handle manually. So we gave the network a brain: Nous Research Hermes Agent. Hermes connects to 16 MCP servers and runs 24/7: 🔬 Research Loop — Tracks every breakthrough in on-device inference: quantization (GPTQ/AWQ/GGUF), speculative decoding on mobile SoCs, federated learning protocols. Auto-imports papers into NotebookLM. 36 research topics, zero manual curation. 🌐 Network Intelligence — Monitors device availability, compute capacity, and workload distribution across the shared fleet. Surfaces bottlenecks before they cascade. 🧬 Tech Tree Optimizer — Maps the full optimization frontier: from KV-cache compression to on-device LoRA to peer-to-peer model sharding. Hermes autonomously identifies which research paths unlock the most network-wide throughput gains. The result: a self-improving shared compute network. Research compounds daily. The fleet gets smarter without human intervention. Cloud AI scales with money. We scale with people. #HermesHackathon Teknium 🪽 Delphi Digital Tommy
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70,000 Phones, One AI Agent — The World's Largest Edge AI Fleet Runs on Hermes We turned 70,000 phones into a shared AI compute network. Any device owner contributes idle compute. Any developer taps distributed inference at a fraction of cloud cost. Not a concept. Not a whitepaper. 70K devices online today. The problem: orchestrating a shared network of heterogeneous edge devices — different chipsets, different memory, different thermal profiles, different owners — is a coordination nightmare no human team can handle manually. So we gave the network a brain: Nous Research Hermes Agent. Hermes connects to 16 MCP servers and runs 24/7: 🔬 Research Loop — Tracks every breakthrough in on-device inference: quantization (GPTQ/AWQ/GGUF), speculative decoding on mobile SoCs, federated learning protocols. Auto-imports papers into NotebookLM. 36 research topics, zero manual curation. 🌐 Network Intelligence — Monitors device availability, compute capacity, and workload distribution across the shared fleet. Surfaces bottlenecks before they cascade. 🧬 Tech Tree Optimizer — Maps the full optimization frontier: from KV-cache compression to on-device LoRA to peer-to-peer model sharding. Hermes autonomously identifies which research paths unlock the most network-wide throughput gains. The result: a self-improving shared compute network. Research compounds daily. The fleet gets smarter without human intervention. Cloud AI scales with money. We scale with people. #HermesHackathon Teknium 🪽 Delphi Digital Tommy

Oyster Republic 🦪📲🦞👓

20,721 次观看 • 5 个月前

Jensen Huang explains the AI industry as a five layer cake, and why "model only" companies are missing the real map. "AI is not just a model. AI is really a five layer cake to think about it." "From the lowest level, it requires energy because AI is produced, generated in real time, just like you and I right now. We need calories, we need energy." "The next level is chips. This is where Nvidia is and where a lot of the companies in Taiwan are." "The layer above that is infrastructure: land, power, data center, as well as the cloud service software that turns the chips into a cloud service." "The layer above that is where most people think about when they think about AI, which is models. ChatGPT was revolutionary. Claude Code is now incredibly successful. But AI is much more than just human language." Most people are still debating the model layer. Jensen is describing an industrial stack: energy, chips, infrastructure, models, and applications. If you are building in AI, this is the map that matters. The winning product may look like software, but the bottlenecks are calories, land, power, data centers, chips, and distribution. - Jensen Huang (NVIDIA), CEO of Nvidia, on CNA
1:48

Jensen Huang explains the AI industry as a five layer cake, and why "model only" companies are missing the real map. "AI is not just a model. AI is really a five layer cake to think about it." "From the lowest level, it requires energy because AI is produced, generated in real time, just like you and I right now. We need calories, we need energy." "The next level is chips. This is where Nvidia is and where a lot of the companies in Taiwan are." "The layer above that is infrastructure: land, power, data center, as well as the cloud service software that turns the chips into a cloud service." "The layer above that is where most people think about when they think about AI, which is models. ChatGPT was revolutionary. Claude Code is now incredibly successful. But AI is much more than just human language." Most people are still debating the model layer. Jensen is describing an industrial stack: energy, chips, infrastructure, models, and applications. If you are building in AI, this is the map that matters. The winning product may look like software, but the bottlenecks are calories, land, power, data centers, chips, and distribution. - Jensen Huang (NVIDIA), CEO of Nvidia, on CNA

Karl Mehta

14,983 次观看 • 1 个月前

Hey everyone, today I want to introduce a project that’s aiming to redefine how we access compute for AI — it’s called GPUAI. 🔶 GPUAI: Unlocking Global GPU Power for the AI Era GPUAI isn’t just another GPU marketplace or leasing service. It’s a fully decentralized protocol that connects idle GPU resources around the world — from gaming PCs to data center clusters — and transforms them into a high-performance compute network for AI workloads. 🧠 Why does it matter? Right now, the biggest bottleneck in AI isn’t algorithms — it’s access to compute. Training and running models requires massive GPU power, but it’s locked up in centralized cloud platforms, expensive and hard to access for smaller teams. With GPUAI, anyone can tap into a global GPU pool that’s: ✅ Fully decentralized ✅ Reputation-based and smart contract coordinated ✅ Encrypted and secure ✅ Token-incentivized — meaning contributors get rewarded in $GPUAI 📈 For developers, it’s a flexible way to access GPU compute for training, inference, and more — without cloud lock-in. 💰 For GPU owners, it’s a chance to monetize idle hardware that would otherwise go unused. The protocol is live, the apps are active, and the ecosystem is growing fast. 🌐 Try it yourself at 📖 Learn more on 🎮 Play our community games at This is real infrastructure for the future of AI, not hype. Follow them and explore their mission of decentralized computing at Tell me what you think - if you have a GPU, you can start profiting now. #GPUAI #Web3Infrastructure #AIComputing #DePIN #Decentralization
1:25

Hey everyone, today I want to introduce a project that’s aiming to redefine how we access compute for AI — it’s called GPUAI. 🔶 GPUAI: Unlocking Global GPU Power for the AI Era GPUAI isn’t just another GPU marketplace or leasing service. It’s a fully decentralized protocol that connects idle GPU resources around the world — from gaming PCs to data center clusters — and transforms them into a high-performance compute network for AI workloads. 🧠 Why does it matter? Right now, the biggest bottleneck in AI isn’t algorithms — it’s access to compute. Training and running models requires massive GPU power, but it’s locked up in centralized cloud platforms, expensive and hard to access for smaller teams. With GPUAI, anyone can tap into a global GPU pool that’s: ✅ Fully decentralized ✅ Reputation-based and smart contract coordinated ✅ Encrypted and secure ✅ Token-incentivized — meaning contributors get rewarded in $GPUAI 📈 For developers, it’s a flexible way to access GPU compute for training, inference, and more — without cloud lock-in. 💰 For GPU owners, it’s a chance to monetize idle hardware that would otherwise go unused. The protocol is live, the apps are active, and the ecosystem is growing fast. 🌐 Try it yourself at 📖 Learn more on 🎮 Play our community games at This is real infrastructure for the future of AI, not hype. Follow them and explore their mission of decentralized computing at Tell me what you think - if you have a GPU, you can start profiting now. #GPUAI #Web3Infrastructure #AIComputing #DePIN #Decentralization

The Crypto GEMs

69,984 次观看 • 1 年前

When we first met Tom, his obsession with energy markets came through immediately. Seemed random, but it's "actually" central to what he's building at Actual Computer. The thesis is that local inference is inevitable. Open source models are getting good enough, people don't want to feed their thoughts to AI labs, and demand for compute will continue to be insatiable. But the main forcing function is that chips aren't the bottleneck anymore - power is. Compute is derivative of energy, and the massive data center buildout has created an energy shortage where GPUs sit idle waiting for power to come online. Yet one place that already has power, and always will, is everywhere else. Homes. Businesses. Universities. Collectively, they have more compute than all the data centers combined. Tom Lynch goal is to build a distributed network of people plugging in their local compute (devices like Mac minis to consumer Nvidia cards) to serve inference demand. The substrate he's chosen is Bittensor, on Subnet 95. Actual Computer has an exceptional team behind it, and this is one of the projects that's gotten me most excited in a long time. Enjoy this conversation with the two of us!
37:17

When we first met Tom, his obsession with energy markets came through immediately. Seemed random, but it's "actually" central to what he's building at Actual Computer. The thesis is that local inference is inevitable. Open source models are getting good enough, people don't want to feed their thoughts to AI labs, and demand for compute will continue to be insatiable. But the main forcing function is that chips aren't the bottleneck anymore - power is. Compute is derivative of energy, and the massive data center buildout has created an energy shortage where GPUs sit idle waiting for power to come online. Yet one place that already has power, and always will, is everywhere else. Homes. Businesses. Universities. Collectively, they have more compute than all the data centers combined. Tom Lynch goal is to build a distributed network of people plugging in their local compute (devices like Mac minis to consumer Nvidia cards) to serve inference demand. The substrate he's chosen is Bittensor, on Subnet 95. Actual Computer has an exceptional team behind it, and this is one of the projects that's gotten me most excited in a long time. Enjoy this conversation with the two of us!

Sami Kassab

35,706 次观看 • 6 个月前

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.
0:21

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

2,022,693 次观看 • 10 个月前

𝐃𝐞𝐬𝐭𝐫𝐚 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 | $DSYNC 𝐎𝐧𝐞-𝐂𝐥𝐢𝐜𝐤 𝐍𝐨𝐝𝐞 𝐁𝐞𝐭𝐚 𝐢𝐬 𝐋𝐈𝐕𝐄 We’re excited to announce the launch of the 𝐃𝐞𝐬𝐭𝐫𝐚 𝐎𝐧𝐞-𝐂𝐥𝐢𝐜𝐤 𝐍𝐨𝐝𝐞 Beta, starting with Storage Nodes for Mac and Windows users! This is more than just a feature—it’s the next leap in decentralized computing, designed to make 𝐫𝐮𝐧𝐧𝐢𝐧𝐠 𝐧𝐨𝐝𝐞𝐬 𝐚𝐬 𝐬𝐢𝐦𝐩𝐥𝐞 𝐚𝐬 𝐜𝐥𝐢𝐜𝐤𝐢𝐧𝐠 𝐚 𝐛𝐮𝐭𝐭𝐨𝐧. Here’s what this means for YOU: 🖱️ 𝐎𝐧𝐞-𝐂𝐥𝐢𝐜𝐤 𝐒𝐢𝐦𝐩𝐥𝐢𝐜𝐢𝐭𝐲 Gone are the days of complicated node configurations. Whether you’re a seasoned tech expert or a complete beginner, deploying a node has never been simpler. With just one click, you can join the Destra ecosystem and start contributing to the decentralized network in minutes—no technical skills needed! 💪 𝐅𝐮𝐞𝐥𝐢𝐧𝐠 𝐚 𝐆𝐥𝐨𝐛𝐚𝐥 𝐃𝐞𝐜𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 Your node powers the Destra Network, supporting AI training, blockchain innovation, and LLM development. Together, we’re building a decentralized future that’s secure, scalable, and accessible. -⚡ 𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭? 𝐆𝐏𝐔 𝐍𝐨𝐝𝐞𝐬 We’re not stopping here. With the upcoming update, you’ll also be able to deploy GPU nodes seamlessly, taking decentralized computing to a whole new level. -🎥 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝐌𝐢𝐧𝐮𝐭𝐞𝐬 To get you started, we’ve created a step-by-step How-To video and attached it to this tweet, watch it now and see just how simple it is 🌍 $𝟓𝟎𝟎,𝟎𝟎𝟎 𝐈𝐧𝐜𝐞𝐧𝐭𝐢𝐯𝐞 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 We’re rolling out an exclusive $500,000 incentive program to accelerate adoption. Details about how you can participate and earn rewards will be revealed later this week—stay tuned! From AI training to seamless dApp creation with Destra Genesis, we’re building the tools to redefine what’s possible in crypto. Download the beta now and be part of the Destra Network. 📥 Download here:
2:51

𝐃𝐞𝐬𝐭𝐫𝐚 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 | $DSYNC 𝐎𝐧𝐞-𝐂𝐥𝐢𝐜𝐤 𝐍𝐨𝐝𝐞 𝐁𝐞𝐭𝐚 𝐢𝐬 𝐋𝐈𝐕𝐄 We’re excited to announce the launch of the 𝐃𝐞𝐬𝐭𝐫𝐚 𝐎𝐧𝐞-𝐂𝐥𝐢𝐜𝐤 𝐍𝐨𝐝𝐞 Beta, starting with Storage Nodes for Mac and Windows users! This is more than just a feature—it’s the next leap in decentralized computing, designed to make 𝐫𝐮𝐧𝐧𝐢𝐧𝐠 𝐧𝐨𝐝𝐞𝐬 𝐚𝐬 𝐬𝐢𝐦𝐩𝐥𝐞 𝐚𝐬 𝐜𝐥𝐢𝐜𝐤𝐢𝐧𝐠 𝐚 𝐛𝐮𝐭𝐭𝐨𝐧. Here’s what this means for YOU: 🖱️ 𝐎𝐧𝐞-𝐂𝐥𝐢𝐜𝐤 𝐒𝐢𝐦𝐩𝐥𝐢𝐜𝐢𝐭𝐲 Gone are the days of complicated node configurations. Whether you’re a seasoned tech expert or a complete beginner, deploying a node has never been simpler. With just one click, you can join the Destra ecosystem and start contributing to the decentralized network in minutes—no technical skills needed! 💪 𝐅𝐮𝐞𝐥𝐢𝐧𝐠 𝐚 𝐆𝐥𝐨𝐛𝐚𝐥 𝐃𝐞𝐜𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 Your node powers the Destra Network, supporting AI training, blockchain innovation, and LLM development. Together, we’re building a decentralized future that’s secure, scalable, and accessible. -⚡ 𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭? 𝐆𝐏𝐔 𝐍𝐨𝐝𝐞𝐬 We’re not stopping here. With the upcoming update, you’ll also be able to deploy GPU nodes seamlessly, taking decentralized computing to a whole new level. -🎥 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝐌𝐢𝐧𝐮𝐭𝐞𝐬 To get you started, we’ve created a step-by-step How-To video and attached it to this tweet, watch it now and see just how simple it is 🌍 $𝟓𝟎𝟎,𝟎𝟎𝟎 𝐈𝐧𝐜𝐞𝐧𝐭𝐢𝐯𝐞 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 We’re rolling out an exclusive $500,000 incentive program to accelerate adoption. Details about how you can participate and earn rewards will be revealed later this week—stay tuned! From AI training to seamless dApp creation with Destra Genesis, we’re building the tools to redefine what’s possible in crypto. Download the beta now and be part of the Destra Network. 📥 Download here:

Destra Network

41,855 次观看 • 1 年前

Finally. After 18 months of patience, FSD is officially approved and live in the Netherlands. I’ve been driving with it for 2 days now. And the experience is on another level. It feels like the future unfolding in real time. The precision. The intelligence. The confidence of the system. This is not incremental progress. This is a clear step forward in how mobility works. Huge thanks to Elon Musk and the entire AI team at Tesla. From a professional perspective, this shows what is possible when software, data, and real-world deployment come together at scale. The question is no longer if this will take over. The question is how fast it will expand. This is a turning point. Elon Musk
1:57

Finally. After 18 months of patience, FSD is officially approved and live in the Netherlands. I’ve been driving with it for 2 days now. And the experience is on another level. It feels like the future unfolding in real time. The precision. The intelligence. The confidence of the system. This is not incremental progress. This is a clear step forward in how mobility works. Huge thanks to Elon Musk and the entire AI team at Tesla. From a professional perspective, this shows what is possible when software, data, and real-world deployment come together at scale. The question is no longer if this will take over. The question is how fast it will expand. This is a turning point. Elon Musk

NL F$D Inside

25,129,693 次观看 • 4 个月前

🔼 Autonomys—Under the Hood | The Architecture of the Foundation Layer for AI3.0 Blockchains are abundant, but true decentralization? That’s rare. Understanding what sets a network apart is essential—whether you’re building, contributing, or seeking AI-ready infrastructure. In this video, we break down the Autonomys Network, powered by the Subspace Protocol, and explore the core components that make it the foundation layer for AI3.0.
3:55

🔼 Autonomys—Under the Hood | The Architecture of the Foundation Layer for AI3.0 Blockchains are abundant, but true decentralization? That’s rare. Understanding what sets a network apart is essential—whether you’re building, contributing, or seeking AI-ready infrastructure. In this video, we break down the Autonomys Network, powered by the Subspace Protocol, and explore the core components that make it the foundation layer for AI3.0.

Autonomys | AI3.0

237,461 次观看 • 1 年前

🚨 I DON'T KNOW WHAT PEOPLE ARE WAITING FOR! This guy just deployed a full GPU compute farm in a data center Not renting cloud instances, not paying per-token, just racks of consumer GPUs on warehouse shelving doing AI inference 24/7 The setup is wild: open-frame rigs with rows of white fans, PCIe riser cables, server-grade PSUs, and a PDU for power distribution. All mounted on red industrial shelving with raised-floor cooling underneath. It looks like a crypto mining op, because it probably was one Here's what's actually happening: > Ex-mining rigs are being redeployed for AI inference at scale > Each rig runs 6-8 GPUs on PCIe risers connected to a single motherboard > Fans pull cold air from the raised floor through the open frames > A PDU on each rack handles power distribution across all rigs > The whole thing runs in a colocation facility with cheap power rates The economics make sense: cloud GPU pricing runs $2-4/hr per card. Own the hardware, colocate it for $0.08-0.12/kWh, and you're printing compute at a fraction of the cost The crypto-to-AI pipeline is real. Same hardware, same facilities, same power contracts, completely different revenue model Bookmark this!
0:53

🚨 I DON'T KNOW WHAT PEOPLE ARE WAITING FOR! This guy just deployed a full GPU compute farm in a data center Not renting cloud instances, not paying per-token, just racks of consumer GPUs on warehouse shelving doing AI inference 24/7 The setup is wild: open-frame rigs with rows of white fans, PCIe riser cables, server-grade PSUs, and a PDU for power distribution. All mounted on red industrial shelving with raised-floor cooling underneath. It looks like a crypto mining op, because it probably was one Here's what's actually happening: > Ex-mining rigs are being redeployed for AI inference at scale > Each rig runs 6-8 GPUs on PCIe risers connected to a single motherboard > Fans pull cold air from the raised floor through the open frames > A PDU on each rack handles power distribution across all rigs > The whole thing runs in a colocation facility with cheap power rates The economics make sense: cloud GPU pricing runs $2-4/hr per card. Own the hardware, colocate it for $0.08-0.12/kWh, and you're printing compute at a fraction of the cost The crypto-to-AI pipeline is real. Same hardware, same facilities, same power contracts, completely different revenue model Bookmark this!

cristal

16,305 次观看 • 1 个月前

AI shouldn’t be controlled by a single company or person, and the reason why most AI tools are "free" is because you are the product. Your data is more valuable to them, than the tool itself. That's why Action Model is different. We use tokens so: • Every AI action has a real cost • That cost is transparent • Value flows back to contributors, not one corporation The token represents a fractional stake in the AI itself; economic rights, governance rights, and participation in its growth. And that’s how you run AI without centralized control.
0:42

AI shouldn’t be controlled by a single company or person, and the reason why most AI tools are "free" is because you are the product. Your data is more valuable to them, than the tool itself. That's why Action Model is different. We use tokens so: • Every AI action has a real cost • That cost is transparent • Value flows back to contributors, not one corporation The token represents a fractional stake in the AI itself; economic rights, governance rights, and participation in its growth. And that’s how you run AI without centralized control.

Action Model

47,342 次观看 • 6 个月前

$OGPU token is no longer waiting for utility. It is live. Most people still haven’t understood what this means. $OGPU is now connected to some of the most powerful AI models in the world. Claude. GPT. DeepSeek. Kling 3.0. Gemini And more. Top up Relay with $OGPU and unlock up to +20% extra AI credits. That means more Claude usage for the same spend than going direct. Not vaporware. Not a future promise. Live token utility. Once people actually use it, the power of $OGPU token becomes very hard to ignore. $OGPU = AI credits = model usage = real demand Powered by OpenGPU.
0:34

$OGPU token is no longer waiting for utility. It is live. Most people still haven’t understood what this means. $OGPU is now connected to some of the most powerful AI models in the world. Claude. GPT. DeepSeek. Kling 3.0. Gemini And more. Top up Relay with $OGPU and unlock up to +20% extra AI credits. That means more Claude usage for the same spend than going direct. Not vaporware. Not a future promise. Live token utility. Once people actually use it, the power of $OGPU token becomes very hard to ignore. $OGPU = AI credits = model usage = real demand Powered by OpenGPU.

OpenGPU Network

1,705,286 次观看 • 2 个月前