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Compute in action at $WULF: CB-1, our first AI & HPC colocation building, is already powering workloads at scale. How do we keep all that compute cool? Rear-door heat exchangers — a liquid-cooled system that stops hot air at the source and sends it back chilled and ready ❄️... show more

TeraWulf

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16,903 views • 1 year ago •via X (Twitter)

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Satya Nadella: Microsoft’s latest Wisconsin AI data center keeps yearly water consumption no higher than that of 1 local restaurant. "The cooling loop is filled once and the data centre can operate effectively with zero water consumption. Daily water usage across a year is roughly equivalent to what a single restaurant would use" The mechanism is mainly about replacing evaporative cooling with closed-loop direct-to-chip liquid cooling, so water moves like coolant inside a sealed machine rather than being boiled off into the air. Hot GB200-class AI racks produce too much heat for normal air cooling, so cold liquid is pushed through pipes into the servers and across metal cold plates touching the hottest chips. The liquid enters the rack cool, absorbs heat from the chips through cold plates, then exits the rack at a higher temperature and carries that heat through pipes to a huge cooling system outside the compute floor. Microsoft says Fairwater sends that hot water to cooling “fins” beside the datacenter, where 172 20-foot fans blow air across the fins and dump the heat into the outside air. The important detail is that the air cools the water through metal surfaces, so the water does not need to evaporate the way many older datacenters use cooling towers. The cooled liquid then returns to the servers, repeats the loop, and keeps absorbing heat from the chips. In older data centers, heat is often removed partly through cooling towers. Hot water meets moving air, some water evaporates, and that phase change carries heat away. Effective, but it consumes fresh water continuously. But Firwater is a closed loop because the same coolant keeps circulating through sealed pipes: it absorbs heat from the chips, releases that heat through radiator-like fins, then flows back to the chips again. For Wisconsin Fairwater, Microsoft says more than 90% of the facility uses closed-loop liquid cooling, while the remaining portion uses outside air and switches to water only on the hottest days. ---- From "Microsoft" YouTube channel, (link in comment)

Satya Nadella: Microsoft’s latest Wisconsin AI data center keeps yearly water consumption no higher than that of 1 local restaurant. "The cooling loop is filled once and the data centre can operate effectively with zero water consumption. Daily water usage across a year is roughly equivalent to what a single restaurant would use" The mechanism is mainly about replacing evaporative cooling with closed-loop direct-to-chip liquid cooling, so water moves like coolant inside a sealed machine rather than being boiled off into the air. Hot GB200-class AI racks produce too much heat for normal air cooling, so cold liquid is pushed through pipes into the servers and across metal cold plates touching the hottest chips. The liquid enters the rack cool, absorbs heat from the chips through cold plates, then exits the rack at a higher temperature and carries that heat through pipes to a huge cooling system outside the compute floor. Microsoft says Fairwater sends that hot water to cooling “fins” beside the datacenter, where 172 20-foot fans blow air across the fins and dump the heat into the outside air. The important detail is that the air cools the water through metal surfaces, so the water does not need to evaporate the way many older datacenters use cooling towers. The cooled liquid then returns to the servers, repeats the loop, and keeps absorbing heat from the chips. In older data centers, heat is often removed partly through cooling towers. Hot water meets moving air, some water evaporates, and that phase change carries heat away. Effective, but it consumes fresh water continuously. But Firwater is a closed loop because the same coolant keeps circulating through sealed pipes: it absorbs heat from the chips, releases that heat through radiator-like fins, then flows back to the chips again. For Wisconsin Fairwater, Microsoft says more than 90% of the facility uses closed-loop liquid cooling, while the remaining portion uses outside air and switches to water only on the hottest days. ---- From "Microsoft" YouTube channel, (link in comment)

Rohan Paul

28,510 views • 2 months ago

Partnership Announcement Exabits x {QuillAI Network} : AI Compute Meets Autonomous Security The future of Web3 doesn’t just run on AI—it protects itself with it. Exabits and QuillAI Network are teaming up to push high-performance AI compute + adversarial AI security into the onchain economy. Who’s in the Room? Exabits → The Mothership of AI Compute: The Base Layer Everyone Builds On, scaling autonomous intelligence at the edge. QuillAI Network → AGI-grade security, where adversarial AI agents run trustless audits on smart contracts. What’s Happening? We’re cutting the friction between AI infrastructure and Web3 security. AI models need compute; smart contracts need protection. Now, they get both. Secure AI Compute: Exabits fuels QuillAI’s adversarial AI, giving security agents the firepower to scale autonomously. AI-Powered Defense: QuillAI safeguards Exabits’ compute layer, ensuring models run without vulnerabilities. Smarter Web3 Infrastructure: The merge of AI compute + security agents unlocks trustless AI governance, fortified DeFi stacks, and scalable digital ownership models. What’s Next? Web3 isn’t waiting. AI autonomy needs distributed compute + bulletproof security to thrive—and we’re delivering it. This partnership sets the foundation for AI systems that build, protect, and scale themselves. The new AI economy isn’t coming—it’s already here. Let’s move.

Partnership Announcement Exabits x {QuillAI Network} : AI Compute Meets Autonomous Security The future of Web3 doesn’t just run on AI—it protects itself with it. Exabits and QuillAI Network are teaming up to push high-performance AI compute + adversarial AI security into the onchain economy. Who’s in the Room? Exabits → The Mothership of AI Compute: The Base Layer Everyone Builds On, scaling autonomous intelligence at the edge. QuillAI Network → AGI-grade security, where adversarial AI agents run trustless audits on smart contracts. What’s Happening? We’re cutting the friction between AI infrastructure and Web3 security. AI models need compute; smart contracts need protection. Now, they get both. Secure AI Compute: Exabits fuels QuillAI’s adversarial AI, giving security agents the firepower to scale autonomously. AI-Powered Defense: QuillAI safeguards Exabits’ compute layer, ensuring models run without vulnerabilities. Smarter Web3 Infrastructure: The merge of AI compute + security agents unlocks trustless AI governance, fortified DeFi stacks, and scalable digital ownership models. What’s Next? Web3 isn’t waiting. AI autonomy needs distributed compute + bulletproof security to thrive—and we’re delivering it. This partnership sets the foundation for AI systems that build, protect, and scale themselves. The new AI economy isn’t coming—it’s already here. Let’s move.

Exabits

97,105 views • 1 year ago

What looks like a server boiling underwater is actually one of the most advanced cooling technologies used in modern computing This demonstration showcases a two-phase immersion cooling system, a method increasingly explored for high-performance computing and AI infrastructure where traditional air cooling becomes less efficient. Instead of using fans to move heat away, server components are submerged in a specialized non-conductive dielectric fluid that safely surrounds the electronics without causing electrical short circuits. As processors generate heat, the liquid absorbs thermal energy and begins to boil directly at the component surface.

What looks like a server boiling underwater is actually one of the most advanced cooling technologies used in modern computing This demonstration showcases a two-phase immersion cooling system, a method increasingly explored for high-performance computing and AI infrastructure where traditional air cooling becomes less efficient. Instead of using fans to move heat away, server components are submerged in a specialized non-conductive dielectric fluid that safely surrounds the electronics without causing electrical short circuits. As processors generate heat, the liquid absorbs thermal energy and begins to boil directly at the component surface.

Amazing Things

105,537 views • 2 months ago

AI builders rely on a cloud that moves at their pace. Today, IREN takes another step forward with the completion of our acquisition of Mirantis. By bringing together IREN’s owned and operated data centers and compute with Mirantis’ flexible, interoperable software layer, we’re giving customers greater choice and control in how they deploy and scale AI workloads. Developers and enterprises want flexibility as the AI landscape evolves. We're building an open foundation that grows with you, so you’re ready for what's next. Read more:

AI builders rely on a cloud that moves at their pace. Today, IREN takes another step forward with the completion of our acquisition of Mirantis. By bringing together IREN’s owned and operated data centers and compute with Mirantis’ flexible, interoperable software layer, we’re giving customers greater choice and control in how they deploy and scale AI workloads. Developers and enterprises want flexibility as the AI landscape evolves. We're building an open foundation that grows with you, so you’re ready for what's next. Read more:

IREN

276,702 views • 24 days ago

Tokenization is quickly becoming one of the most talked-about ideas in crypto. This year we’re aiming much higher. We don’t just want to tokenize miner revenue; we want to bring entire productive ecosystems on-chain. That means tokenizing baskets of assets, real energy infrastructure, AI agents, compute power, data centres, and even the cooling systems that keep high-performance hardware running at scale. All of it connected and interoperable with DeFi. Thats what we have been building throughout. A single on-chain framework that unlocks something genuinely powerful: real ownership, real yield, and real coordination between digital and physical infrastructure. From backend systems and front-end interfaces to smart contracts, AI, physical infrastructure, oracles, and autonomous agents, the stack keeps expanding and compounding. It’s about building the foundation for how value will be owned, deployed, and earned in the next generation of the on-chain economy. Simplified by PinLink.

Tokenization is quickly becoming one of the most talked-about ideas in crypto. This year we’re aiming much higher. We don’t just want to tokenize miner revenue; we want to bring entire productive ecosystems on-chain. That means tokenizing baskets of assets, real energy infrastructure, AI agents, compute power, data centres, and even the cooling systems that keep high-performance hardware running at scale. All of it connected and interoperable with DeFi. Thats what we have been building throughout. A single on-chain framework that unlocks something genuinely powerful: real ownership, real yield, and real coordination between digital and physical infrastructure. From backend systems and front-end interfaces to smart contracts, AI, physical infrastructure, oracles, and autonomous agents, the stack keeps expanding and compounding. It’s about building the foundation for how value will be owned, deployed, and earned in the next generation of the on-chain economy. Simplified by PinLink.

PinLink

14,339 views • 7 months ago

Every AI tool wants its own subscription. We built ours around a token you already hold. Stake once and it earns Sorin credits at 1 per $SAHARA every month, on top of the 3,500 every user gets free. The same stake earns Sahara compute credits next, spendable inside ClawApp or straight through our API. Every product we add plugs into that stake, and there is never anything to restake. And you keep the SAHARA the whole time. Unstake whenever you want and you walk away with everything you came in with. Own your compute.

Every AI tool wants its own subscription. We built ours around a token you already hold. Stake once and it earns Sorin credits at 1 per $SAHARA every month, on top of the 3,500 every user gets free. The same stake earns Sahara compute credits next, spendable inside ClawApp or straight through our API. Every product we add plugs into that stake, and there is never anything to restake. And you keep the SAHARA the whole time. Unstake whenever you want and you walk away with everything you came in with. Own your compute.

Sahara AI 🔆

16,527 views • 12 days ago

This is what happens when on-chain infrastructure meets real-world engineering. PinLink has converted a fleet of air-cooled L9 miners into a fully hydro-cooled system, unlocking a new performance ceiling. Higher sustained uptime, tighter thermal control, and consistently stronger hashrate under continuous load. Hydro-cooling is an edge. It removes the inefficiencies that cap air-cooled systems and optimizes physical infrastructure. This is exactly how PinLink operates: pairing on-chain coordination with physical execution to deliver maximum performance from real assets. Watch the video to see the conversion in action.

This is what happens when on-chain infrastructure meets real-world engineering. PinLink has converted a fleet of air-cooled L9 miners into a fully hydro-cooled system, unlocking a new performance ceiling. Higher sustained uptime, tighter thermal control, and consistently stronger hashrate under continuous load. Hydro-cooling is an edge. It removes the inefficiencies that cap air-cooled systems and optimizes physical infrastructure. This is exactly how PinLink operates: pairing on-chain coordination with physical execution to deliver maximum performance from real assets. Watch the video to see the conversion in action.

PinLink

11,931 views • 7 months ago

This is cool! 😎 We do have technologies that are a at the least, a thousand years more advanced and we the people paid for ALL of it.

This is cool! 😎 We do have technologies that are a at the least, a thousand years more advanced and we the people paid for ALL of it.

Diana ❤️🇺🇸🙏🐸

74,543 views • 4 months ago

𝗙𝗼𝗿𝗴𝗶𝗻𝗴 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗙𝘂𝘁𝘂𝗿𝗲 𝗶𝗻 𝗔𝗲𝗿𝗼𝘀𝗽𝗮𝗰𝗲 & 𝗗𝗲𝗳𝗲𝗻𝗰𝗲. PTC Industries and Aerolloy Technologies mark another defining milestone with the installation and successful trials of 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗢𝗽𝗲𝗻 𝗗𝗶𝗲 𝗙𝗼𝗿𝗴𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺 for critical materials. This 𝟰𝟱𝟬𝟬/𝟱𝟭𝟬𝟬𝗧 press now is operational at the Strategic Materials Technology Complex in Lucknow. This is not incremental capacity. This is a strategic capability. Engineered for precision and scale, this system enables production of large, complex forgings in 𝗧𝗶𝘁𝗮𝗻𝗶𝘂𝗺, 𝗦𝘂𝗽𝗲𝗿𝗮𝗹𝗹𝗼𝘆𝘀, and advanced high-performance alloys powering critical components that form the backbone of next-generation aeroengines and mission-critical defence platforms. With this, our ecosystem now brings together melting, casting, and forging - all in one location. No other supply chain globally offers this level of integration at this scale and precision at the same location. With this step, we do. What this unlocks: 🔹 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗶𝗻𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗲: Building domestic strength in critical forging capabilities that India has long relied on imports for. 🔹 𝗚𝗹𝗼𝗯𝗮𝗹 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀: Meeting the exacting requirements of advanced civil and military aerospace programs worldwide. 🔹 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗰𝗼𝗻𝘁𝗿𝗼𝗹: From critical materials to finished components with scale, and reliability at every step. This milestone is part of a larger conviction to build, scale, and lead in high-performance materials and manufacturing. From India, for the world. Read more here:

𝗙𝗼𝗿𝗴𝗶𝗻𝗴 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗙𝘂𝘁𝘂𝗿𝗲 𝗶𝗻 𝗔𝗲𝗿𝗼𝘀𝗽𝗮𝗰𝗲 & 𝗗𝗲𝗳𝗲𝗻𝗰𝗲. PTC Industries and Aerolloy Technologies mark another defining milestone with the installation and successful trials of 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗢𝗽𝗲𝗻 𝗗𝗶𝗲 𝗙𝗼𝗿𝗴𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺 for critical materials. This 𝟰𝟱𝟬𝟬/𝟱𝟭𝟬𝟬𝗧 press now is operational at the Strategic Materials Technology Complex in Lucknow. This is not incremental capacity. This is a strategic capability. Engineered for precision and scale, this system enables production of large, complex forgings in 𝗧𝗶𝘁𝗮𝗻𝗶𝘂𝗺, 𝗦𝘂𝗽𝗲𝗿𝗮𝗹𝗹𝗼𝘆𝘀, and advanced high-performance alloys powering critical components that form the backbone of next-generation aeroengines and mission-critical defence platforms. With this, our ecosystem now brings together melting, casting, and forging - all in one location. No other supply chain globally offers this level of integration at this scale and precision at the same location. With this step, we do. What this unlocks: 🔹 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗶𝗻𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗲: Building domestic strength in critical forging capabilities that India has long relied on imports for. 🔹 𝗚𝗹𝗼𝗯𝗮𝗹 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀: Meeting the exacting requirements of advanced civil and military aerospace programs worldwide. 🔹 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗰𝗼𝗻𝘁𝗿𝗼𝗹: From critical materials to finished components with scale, and reliability at every step. This milestone is part of a larger conviction to build, scale, and lead in high-performance materials and manufacturing. From India, for the world. Read more here:

PTC Industries

70,981 views • 4 months ago

LTX-2 is THE open source video AI moment I've been waiting for--the first to generates high quality video AND is FAST!! - 4090: Generate 20s at 720p in 2 minutes - A4500 (3070): Generate 10s at 480p in 3 minutes 1-click install on Pinokio, do it now!

LTX-2 is THE open source video AI moment I've been waiting for--the first to generates high quality video AND is FAST!! - 4090: Generate 20s at 720p in 2 minutes - A4500 (3070): Generate 10s at 480p in 3 minutes 1-click install on Pinokio, do it now!

cocktail peanut

116,072 views • 7 months ago

$I genuinely think the Terafab is going to end up being one of the biggest moves ever made in human history to secure the future of AI... and I think most people still don’t fully see what Elon is trying to do here. The signs are clear to me. This is Tesla, xAI, and SpaceX essentially hinting to us that they are not going to wait on the world to give them the compute the team needs. They are going to build it themselves at a scale no one has ever attempted. When you really break it down, it gets a bit nutty. This is going to be a fully vertically integrated chip factory that will be producing over 1 terawatt of AI compute per year. This is NEXT LEVEL BIG. Today, AI is limited by chips. You can have the best models, the best engineers, the best everything... but if you don’t have enough compute, you will eventually hit a wall. Elon told us, the world can only supply a tiny fraction of the chips his companies will need. So this is the solution. Terafab puts everything under one roof like design, manufacturing, memory, packaging, testing, which means that they can build chips very fast.. like really fast. I'm talking about 100-200 billion custom AI chips per year at full capacity. Chips designed specifically for: • Tesla cars and Optimus robots • xAI models • Space-based compute You see, while other companies and CEOs are thinking Earth, Elon is planning for AI in space. Around ~80% of the compute is expected to go orbital, powered by solar energy bc Earth simply doesn’t have enough electricity. The U.S. grid is only about ~0.5 terawatts, while space has basically UNLIMITED energy if you can capture it. And this is the steps to get it: Starship launches → space compute → solar-powered AI → feeds back into everything to Earth. Bro... Elon and his companies are playing at a whole different level... And this is why I keep telling people that the Terafab is going to be the secret ingredient that will be the real unlock for everything: • Robotaxis at scale • Billions of Optimus robots • Massive AI models running 24/7 • Future off-world, other planet infrastructure Without these chips, none of this can happen... but with the Terafab, all of this becomes possible. That’s why Elon is calling it “the final missing piece.” I agree.$

I genuinely think the Terafab is going to end up being one of the biggest moves ever made in human history to secure the future of AI... and I think most people still don’t fully see what Elon is trying to do here. The signs are clear to me. This is Tesla, xAI, and SpaceX essentially hinting to us that they are not going to wait on the world to give them the compute the team needs. They are going to build it themselves at a scale no one has ever attempted. When you really break it down, it gets a bit nutty. This is going to be a fully vertically integrated chip factory that will be producing over 1 terawatt of AI compute per year. This is NEXT LEVEL BIG. Today, AI is limited by chips. You can have the best models, the best engineers, the best everything... but if you don’t have enough compute, you will eventually hit a wall. Elon told us, the world can only supply a tiny fraction of the chips his companies will need. So this is the solution. Terafab puts everything under one roof like design, manufacturing, memory, packaging, testing, which means that they can build chips very fast.. like really fast. I'm talking about 100-200 billion custom AI chips per year at full capacity. Chips designed specifically for: • Tesla cars and Optimus robots • xAI models • Space-based compute You see, while other companies and CEOs are thinking Earth, Elon is planning for AI in space. Around ~80% of the compute is expected to go orbital, powered by solar energy bc Earth simply doesn’t have enough electricity. The U.S. grid is only about ~0.5 terawatts, while space has basically UNLIMITED energy if you can capture it. And this is the steps to get it: Starship launches → space compute → solar-powered AI → feeds back into everything to Earth. Bro... Elon and his companies are playing at a whole different level... And this is why I keep telling people that the Terafab is going to be the secret ingredient that will be the real unlock for everything: • Robotaxis at scale • Billions of Optimus robots • Massive AI models running 24/7 • Future off-world, other planet infrastructure Without these chips, none of this can happen... but with the Terafab, all of this becomes possible. That’s why Elon is calling it “the final missing piece.” I agree.

Teslaconomics

25,494 views • 5 months ago

🔶GPUAI is Now Live — And This Is Just the Beginning We’ve successfully launched on two major exchanges, but our journey has only just begun. From ecosystem growth to protocol development, $GPUAI is laying the foundation for the world’s first decentralized GPU compute marketplace. 🔸 Now trading on @MEXC_Official and Gate.io 🔸 Ecosystem partnerships expanding globally 🔸 Core protocol development continues at full speed We’re not just aiming high — we’re moving forward with code, community, and compute as our fuel. To all our supporters: thank you. The road ahead is long, but the mission is crystal clear —Decentralize GPU power. Scale AI for everyone. #GPUAI #AICompute #DePIN #DecentralizedGPU #Web3Infrastructure

🔶GPUAI is Now Live — And This Is Just the Beginning We’ve successfully launched on two major exchanges, but our journey has only just begun. From ecosystem growth to protocol development, $GPUAI is laying the foundation for the world’s first decentralized GPU compute marketplace. 🔸 Now trading on @MEXC_Official and Gate.io 🔸 Ecosystem partnerships expanding globally 🔸 Core protocol development continues at full speed We’re not just aiming high — we’re moving forward with code, community, and compute as our fuel. To all our supporters: thank you. The road ahead is long, but the mission is crystal clear —Decentralize GPU power. Scale AI for everyone. #GPUAI #AICompute #DePIN #DecentralizedGPU #Web3Infrastructure

GPU AI

45,609 views • 1 year ago

Raw thrust, pure legacy. The General Electric J79 is a military turbojet built for speed, power, and high-altitude performance. Air is compressed, mixed with fuel, and ignited to produce high-energy exhaust gases that drive the turbine and exit at extreme velocity, generating thrust. With an afterburner system, additional fuel is injected into the exhaust stream, delivering a massive boost in thrust when needed. Designed to power legendary aircraft like the Lockheed F-104 Starfighter, it became known for its high thrust-to-weight ratio and distinctive performance in supersonic flight. Its robust design and ability to operate under extreme conditions made it a cornerstone of early jet combat technology. Built for speed. Proven in the skies.

Raw thrust, pure legacy. The General Electric J79 is a military turbojet built for speed, power, and high-altitude performance. Air is compressed, mixed with fuel, and ignited to produce high-energy exhaust gases that drive the turbine and exit at extreme velocity, generating thrust. With an afterburner system, additional fuel is injected into the exhaust stream, delivering a massive boost in thrust when needed. Designed to power legendary aircraft like the Lockheed F-104 Starfighter, it became known for its high thrust-to-weight ratio and distinctive performance in supersonic flight. Its robust design and ability to operate under extreme conditions made it a cornerstone of early jet combat technology. Built for speed. Proven in the skies.

Mechanical Knowledge

92,677 views • 4 months ago

March 18, 2025 marked the public launch of OptimAI. In one year, it has evolved from a lightweight node layer into a decentralized intelligence infrastructure powering real-time data, compute, and reinforcement for agentic systems. Not just nodes. Not just data. A continuously learning, network-driven intelligence layer. This is infrastructure for a new class of software: autonomous agents that persist, adapt, and operate across environments. Year one established the network. Year two is where it compounds into coordination and value flow. Personal agents. Reinforcement at network scale. Emerging primitives for AgentFi. New layers coming online. 2026 won’t just be about scale, it’s where the network starts to operate. Keep building!

March 18, 2025 marked the public launch of OptimAI. In one year, it has evolved from a lightweight node layer into a decentralized intelligence infrastructure powering real-time data, compute, and reinforcement for agentic systems. Not just nodes. Not just data. A continuously learning, network-driven intelligence layer. This is infrastructure for a new class of software: autonomous agents that persist, adapt, and operate across environments. Year one established the network. Year two is where it compounds into coordination and value flow. Personal agents. Reinforcement at network scale. Emerging primitives for AgentFi. New layers coming online. 2026 won’t just be about scale, it’s where the network starts to operate. Keep building!

OptimAI Network

34,163 views • 5 months ago

Today we're officially launching Moby 2 to the world (and to our full house at The Whalies in Los Angeles). It is the only AI ecommerce brands can trust to do work for them. We’re also launching: • Moby Specialists, purpose-built AI specialists for media buying, creative, and conversion optimization • Compass, our new unified measurement system combining attribution, incrementality, and MMM • New upgrades to Sonar Optimize (including attribution passback) and Clicks & Deterministic Views Attribution Built on data from 60,000+ brands and $82B in tracked revenue, Triple Whale is the AI operating system for ecommerce, and Moby 2 is the operator, always working for you. See it in action:

Today we're officially launching Moby 2 to the world (and to our full house at The Whalies in Los Angeles). It is the only AI ecommerce brands can trust to do work for them. We’re also launching: • Moby Specialists, purpose-built AI specialists for media buying, creative, and conversion optimization • Compass, our new unified measurement system combining attribution, incrementality, and MMM • New upgrades to Sonar Optimize (including attribution passback) and Clicks & Deterministic Views Attribution Built on data from 60,000+ brands and $82B in tracked revenue, Triple Whale is the AI operating system for ecommerce, and Moby 2 is the operator, always working for you. See it in action:

Triple Whale 🐳

2,054,543 views • 3 months ago

Just weeks ago I considered this to be a map of Superchargers. The foundation that made EV’s a going concern for the first time. But it’s not. These dots represent fully permitted and built power stations in an era where every AI player is trying to figure out how to get power for compute. This is the largest electrical power moat I’ve ever seen that can fully supply current and future charging needs while collecting and storing cheaper power during off-peak to supply an AI revolution. Elon doesn’t care who knows anymore. 2nd place is… crumbs. AWS was built from excess server space needed during peak demand. Now it’s bigger and more valuable than the core Amazon retail business. Tesla is about to drop a hardware smackdown right in the face of software engineers. AI prototypes are easy. Scaling is hard. If only Tesla had a factory pouring out millions of chips each year that are underutilized 95% of the time. Each with their own battery storage. Imagine that. Tesla could call them ‘cars’. And that power moat? It’s all fully upgradable. It’s primed to be tripled. Only a handful of Tesla charging stations currently have solar and/or Megapacks. For 14 years Tesla has permitted and built the gas stations of the future around the world. Everyone said it would fail. All of them were wrong. And now Tesla is in a process of creating a possible 10x value stamp on those stations that should have never been built. It makes you wonder, When a vehicle now leaves the Tesla factory; how do we even begin to calculate the economic production that it will generate during its lifetime? It’s a Robotaxi, energy storage, and a fully sealed/cooled compute processor. They may as well start shitting gold out of a tailpipe.

Just weeks ago I considered this to be a map of Superchargers. The foundation that made EV’s a going concern for the first time. But it’s not. These dots represent fully permitted and built power stations in an era where every AI player is trying to figure out how to get power for compute. This is the largest electrical power moat I’ve ever seen that can fully supply current and future charging needs while collecting and storing cheaper power during off-peak to supply an AI revolution. Elon doesn’t care who knows anymore. 2nd place is… crumbs. AWS was built from excess server space needed during peak demand. Now it’s bigger and more valuable than the core Amazon retail business. Tesla is about to drop a hardware smackdown right in the face of software engineers. AI prototypes are easy. Scaling is hard. If only Tesla had a factory pouring out millions of chips each year that are underutilized 95% of the time. Each with their own battery storage. Imagine that. Tesla could call them ‘cars’. And that power moat? It’s all fully upgradable. It’s primed to be tripled. Only a handful of Tesla charging stations currently have solar and/or Megapacks. For 14 years Tesla has permitted and built the gas stations of the future around the world. Everyone said it would fail. All of them were wrong. And now Tesla is in a process of creating a possible 10x value stamp on those stations that should have never been built. It makes you wonder, When a vehicle now leaves the Tesla factory; how do we even begin to calculate the economic production that it will generate during its lifetime? It’s a Robotaxi, energy storage, and a fully sealed/cooled compute processor. They may as well start shitting gold out of a tailpipe.

No Safe Words

56,740 views • 2 months ago

🚀 Early Access to Sahara AI Studio is NOW OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:

🚀 Early Access to Sahara AI Studio is NOW OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:

Sahara AI 🔆

2,700,903 views • 1 year ago