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Efficiency is the real bottleneck in AI. As AI adoption accelerates, data centers are becoming some of the most energy-hungry assets in the world. $NBIS' approach is clear: sustainability isn’t an afterthought, it’s a design principle. The company designs its servers, racks, and data centers in-house, allowing: - Higher... thermal & power efficiency - Faster cluster deployment - Lower failure rates and easier maintenance - Longer hardware lifespan Essentially, more compute per unit of energy. In Finland, $NBIS operates hybrid cooling systems that combine outside air with direct liquid-to-chip cooling, using a closed-loop system with zero water withdrawal. Even more interesting: waste heat isn’t wasted. In 2024 alone, Nebius’ Finnish data center: - Helped heat ~2,500 households - Avoided ~3,200 tons of CO₂ emissions This is circular efficiency in practice. On the software side, $NBIS' full-stack cloud platform avoids overprovisioning by sharing buffers across hundreds of customers, while offering deep observability, down to tracking every kilowatt used to train large models across compute and storage. All in all, $NBIS is building AI infrastructure optimized for peak performance, cost efficiency, resilience, and long-term sustainability.show more

M. V. Cunha

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44,039 次观看 • 6 个月前 •via X (Twitter)

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Jensen Huang $NVDA says the AI energy problem is overblown. “The grid runs ~60% of peak. 99% of the time there’s unused power.” The real opportunity isn’t more energy. It’s smarter data centers. $NBIS is already doing it. In the UK, with National Grid, $NVDA, and Emerald AI, they proved they can cut power usage by up to 40% in under a minute—without impacting critical workloads. Data centers are becoming a grid resource, not a liability. The more I study $NBIS, the more bullish I get.

Jensen Huang $NVDA says the AI energy problem is overblown. “The grid runs ~60% of peak. 99% of the time there’s unused power.” The real opportunity isn’t more energy. It’s smarter data centers. $NBIS is already doing it. In the UK, with National Grid, $NVDA, and Emerald AI, they proved they can cut power usage by up to 40% in under a minute—without impacting critical workloads. Data centers are becoming a grid resource, not a liability. The more I study $NBIS, the more bullish I get.

Daniel

98,660 次观看 • 3 个月前

AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale

AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale

Small Cap Snipa

116,034 次观看 • 6 个月前

$NBIS is not building a business around renting bare metal to hyperscalers. $NBIS is building toward becoming a hyperscaler itself. The CEO explained that the $27B deal with $META is effectively split into two parts: • $12B for providing bare metal capacity to $META • $15B of backstop capacity allowing $NBIS to leverage $META commitment to secure lower-cost financing for its own cloud infrastructure $NBIS isn't just selling capacity. It is using $META’s financial strength to accelerate the buildout of its own AI cloud platform while targeting thousands of AI companies and enterprises. This deal is bigger than revenue. It is strengthening the foundation for what $NBIS wants to become.

$NBIS is not building a business around renting bare metal to hyperscalers. $NBIS is building toward becoming a hyperscaler itself. The CEO explained that the $27B deal with $META is effectively split into two parts: • $12B for providing bare metal capacity to $META • $15B of backstop capacity allowing $NBIS to leverage $META commitment to secure lower-cost financing for its own cloud infrastructure $NBIS isn't just selling capacity. It is using $META’s financial strength to accelerate the buildout of its own AI cloud platform while targeting thousands of AI companies and enterprises. This deal is bigger than revenue. It is strengthening the foundation for what $NBIS wants to become.

Daniel

39,676 次观看 • 1 个月前

“There’s a huge opportunity to create a phenomenal solution for hyperscalers—boosting plant efficiency and lowering costs,” Oklo CEO Jacob DeWitte tells CNBC. With Vertiv, we’re turning heat into cooling—essential for hard-working data centers. The result? Lower costs, higher efficiency, and a smarter energy system to power AI at scale.

“There’s a huge opportunity to create a phenomenal solution for hyperscalers—boosting plant efficiency and lowering costs,” Oklo CEO Jacob DeWitte tells CNBC. With Vertiv, we’re turning heat into cooling—essential for hard-working data centers. The result? Lower costs, higher efficiency, and a smarter energy system to power AI at scale.

Oklo

13,789 次观看 • 11 个月前

20 companies that will dominate the next decade: 1/ Nebius $NBIS is redefining cloud computing for the age of AI, offering an infrastructure platform designed specifically for building and running AI models. Nebius services will help both large and small AI companies build innovative AI solutions in robotics, healthcare, finance, military, agriculture, drug discovery, material sciences, and many more. The company just signed a massive 5-year $17.4B contract with Microsoft. It is currently expanding the data center business in: - Finland - Iceland - New Jersey - Alabama - UK - France - Israel

20 companies that will dominate the next decade: 1/ Nebius $NBIS is redefining cloud computing for the age of AI, offering an infrastructure platform designed specifically for building and running AI models. Nebius services will help both large and small AI companies build innovative AI solutions in robotics, healthcare, finance, military, agriculture, drug discovery, material sciences, and many more. The company just signed a massive 5-year $17.4B contract with Microsoft. It is currently expanding the data center business in: - Finland - Iceland - New Jersey - Alabama - UK - France - Israel

Ray Myers

125,860 次观看 • 9 个月前

#Intel is staying one step ahead for a more sustainable future ♻️. With #AI use on the rise, leveraging optimized models, software, and hardware creates more energy-efficient AI processes. Let’s zoom in on Intel's practices for efficiency and #sustainability within agriculture.

#Intel is staying one step ahead for a more sustainable future ♻️. With #AI use on the rise, leveraging optimized models, software, and hardware creates more energy-efficient AI processes. Let’s zoom in on Intel's practices for efficiency and #sustainability within agriculture.

Intel

16,662 次观看 • 1 年前

AI in the network is shifting the conversation beyond GPUs. At MWC 2026, Intel's Kevork Kechichian, EVP & GM of the Data Center Group, explains why inference workloads are bringing CPUs back into focus, especially in telco environments where power, space, and efficiency matter. With platforms like Intel Xeon and Clearwater Forest, operators are seeing up to 30% performance gains and 60% better power efficiency, helping scale AI workloads without overhauling infrastructure. As networks evolve toward AI-driven operations and 6G, one principle is becoming clear: The future of AI infrastructure is about using the right compute for the right workload.

AI in the network is shifting the conversation beyond GPUs. At MWC 2026, Intel's Kevork Kechichian, EVP & GM of the Data Center Group, explains why inference workloads are bringing CPUs back into focus, especially in telco environments where power, space, and efficiency matter. With platforms like Intel Xeon and Clearwater Forest, operators are seeing up to 30% performance gains and 60% better power efficiency, helping scale AI workloads without overhauling infrastructure. As networks evolve toward AI-driven operations and 6G, one principle is becoming clear: The future of AI infrastructure is about using the right compute for the right workload.

Six Five Media

131,501 次观看 • 3 个月前

In partnership with NGON, MARA is launching a 25-megawatt micro data center operation across wellheads in Texas and North Dakota, transforming excess gas into power for the data centers while increasing methane mitigation efficiency for the energy producer.

In partnership with NGON, MARA is launching a 25-megawatt micro data center operation across wellheads in Texas and North Dakota, transforming excess gas into power for the data centers while increasing methane mitigation efficiency for the energy producer.

MARA

47,819 次观看 • 1 年前

Kevin O’Leary: “I think the new play is energy” How do you supply enough energy to advance the economy and all this AI demand? With the AI buildout requiring 100+ gigawatts of power and compute, it’s clear there will be massive winners across energy, data centers, and hardware

Kevin O’Leary: “I think the new play is energy” How do you supply enough energy to advance the economy and all this AI demand? With the AI buildout requiring 100+ gigawatts of power and compute, it’s clear there will be massive winners across energy, data centers, and hardware

Small Cap Snipa

57,806 次观看 • 4 个月前

Why wouldn’t China want more data centers built in the United States? Simple, the nation that leads in AI will lead the future, economically, technologically, and militarily. We’re already seeing it happen in real time as AI drives unprecedented productivity and margin expansion across every sector of the economy. While America debates permits, regulations, and protests over data centers, China is rapidly building power infrastructure and scaling compute capacity as fast as possible. This race is no longer theoretical. Whoever has the most compute, the best models, and the strongest infrastructure will shape the next era of global power.

Why wouldn’t China want more data centers built in the United States? Simple, the nation that leads in AI will lead the future, economically, technologically, and militarily. We’re already seeing it happen in real time as AI drives unprecedented productivity and margin expansion across every sector of the economy. While America debates permits, regulations, and protests over data centers, China is rapidly building power infrastructure and scaling compute capacity as fast as possible. This race is no longer theoretical. Whoever has the most compute, the best models, and the strongest infrastructure will shape the next era of global power.

Kevin O'Leary aka Mr. Wonderful

35,420 次观看 • 1 个月前

Is your data center ready for AI? In this Transform Talks interview, Philippe Nicolas and Huawei's Yuan Yuan explain why moving to an all-flash data center is becoming inevitable for unified data access, higher efficiency, and AI-ready performance.

Is your data center ready for AI? In this Transform Talks interview, Philippe Nicolas and Huawei's Yuan Yuan explain why moving to an all-flash data center is becoming inevitable for unified data access, higher efficiency, and AI-ready performance.

Huawei

3,921,924 次观看 • 7 个月前

🚨 WE’RE NOT BULLISH ENOUGH! 56% of my portfolio is in $IREN, $CIFR, $NBIS, $TE = AI/HPC, GRID & ENERGY. Spend 45 seconds watching this clip, and you’ll know why. 1. $CIFR has an elite team of ex-hyperscaler specialists from $GOOG, $META, and $AAPL optimizing every site. 2. The next couple of years will see more acquisitions, more sites, more deals in AI data centers. 3. $IREN secured a $9.7B AI cloud contract with $MSFT. $CIFR inked a $5.5B lease with $AMZN AWS and has a stake from $GOOG. 4. $NBIS landed $3B with $META and multi-billion with $MSFT. 5. J.P. Morgan forecasts AI infrastructure capex for data centers hitting $1.4 trillion annually by 2030, tripling near-term levels. 6. Jon Gray, President and COO of Blackstone Inc., stated in his latest presentation: “It starts with the picks and shovels, with things like chips, data centers, and power at massive scale. We have really focused on the right two circles here.” (Refering to data centers and power) 7. $NVDA’s Jensen Huang: “We wish we had more compute energy.” 8. The current administration pushes AI, energy, and defense with plans for massive power plants to fuel the AI boom. Onwards, -BP Not financial advice. Turn on notifications 🔔 for alerts on new posts.

🚨 WE’RE NOT BULLISH ENOUGH! 56% of my portfolio is in $IREN, $CIFR, $NBIS, $TE = AI/HPC, GRID & ENERGY. Spend 45 seconds watching this clip, and you’ll know why. 1. $CIFR has an elite team of ex-hyperscaler specialists from $GOOG, $META, and $AAPL optimizing every site. 2. The next couple of years will see more acquisitions, more sites, more deals in AI data centers. 3. $IREN secured a $9.7B AI cloud contract with $MSFT. $CIFR inked a $5.5B lease with $AMZN AWS and has a stake from $GOOG. 4. $NBIS landed $3B with $META and multi-billion with $MSFT. 5. J.P. Morgan forecasts AI infrastructure capex for data centers hitting $1.4 trillion annually by 2030, tripling near-term levels. 6. Jon Gray, President and COO of Blackstone Inc., stated in his latest presentation: “It starts with the picks and shovels, with things like chips, data centers, and power at massive scale. We have really focused on the right two circles here.” (Refering to data centers and power) 7. $NVDA’s Jensen Huang: “We wish we had more compute energy.” 8. The current administration pushes AI, energy, and defense with plans for massive power plants to fuel the AI boom. Onwards, -BP Not financial advice. Turn on notifications 🔔 for alerts on new posts.

Black Panther Capital

57,828 次观看 • 5 个月前

$This is the next big plan for SpaceX: AI Data Centers in Space. • To achieve even a small fraction of a Kardashev Type II civilization (harnessing the full energy of the Sun), AI compute will require orders of magnitude more energy than Earth can ever provide. • Earth only intercepts about 1–2 billionths of the Sun’s total energy output. • Massive-scale AI (e.g., a million times more energy than Earth could produce) can only be powered by capturing far more solar energy in space. • Space-based solar-powered AI satellites/compute clusters are therefore inevitable. • In space, sunlight is continuous (no night, no clouds, no atmosphere), so no batteries are needed. • Solar panels in space can be extremely lightweight and cheap (no glass, no storm-proof framing required). • Cooling in space is dramatically easier and simpler: just radiate heat directly into the cold vacuum — no water, no fans, no liquids, no massive cooling infrastructure. • Most of the mass/volume of current supercomputer racks (e.g., GB300) is cooling hardware; in space that largely disappears. • The cost-effectiveness of electricity and compute in space will soon be overwhelmingly better than on Earth. • Elon’s Prediction: within ~5 years (by ~2030), the lowest-cost way to run large-scale AI will be solar-powered satellites in space. • A terawatt/year of AI compute is essentially impossible on Earth with any realistic build-out of power plants. • Scaling both power generation and cooling on Earth at the required rate is physically and politically unfeasible.$

This is the next big plan for SpaceX: AI Data Centers in Space. • To achieve even a small fraction of a Kardashev Type II civilization (harnessing the full energy of the Sun), AI compute will require orders of magnitude more energy than Earth can ever provide. • Earth only intercepts about 1–2 billionths of the Sun’s total energy output. • Massive-scale AI (e.g., a million times more energy than Earth could produce) can only be powered by capturing far more solar energy in space. • Space-based solar-powered AI satellites/compute clusters are therefore inevitable. • In space, sunlight is continuous (no night, no clouds, no atmosphere), so no batteries are needed. • Solar panels in space can be extremely lightweight and cheap (no glass, no storm-proof framing required). • Cooling in space is dramatically easier and simpler: just radiate heat directly into the cold vacuum — no water, no fans, no liquids, no massive cooling infrastructure. • Most of the mass/volume of current supercomputer racks (e.g., GB300) is cooling hardware; in space that largely disappears. • The cost-effectiveness of electricity and compute in space will soon be overwhelmingly better than on Earth. • Elon’s Prediction: within ~5 years (by ~2030), the lowest-cost way to run large-scale AI will be solar-powered satellites in space. • A terawatt/year of AI compute is essentially impossible on Earth with any realistic build-out of power plants. • Scaling both power generation and cooling on Earth at the required rate is physically and politically unfeasible.

Nic Cruz Patane

48,991 次观看 • 6 个月前

$NBIS is becoming one of the biggest winners in the new AI economy because it can deliver compute efficiently at scale. The number that mattered most to me was Nebius seeing four or more customers competing for every GPU it brings online (huge for AI cloud market). Management also said they raised prices again and are still selling out across both old and new GPU generations which is one of the cleanest pricing power signals you can get. This is a $100B company in the making.

$NBIS is becoming one of the biggest winners in the new AI economy because it can deliver compute efficiently at scale. The number that mattered most to me was Nebius seeing four or more customers competing for every GPU it brings online (huge for AI cloud market). Management also said they raised prices again and are still selling out across both old and new GPU generations which is one of the cleanest pricing power signals you can get. This is a $100B company in the making.

Shay Boloor

538,242 次观看 • 1 个月前

$AMZN CEO: “There is a power shortage in the US and the world.” For new data centers, the most optimistic grid connection wait time is 3 years as power transformer lead times stretch to 12-24 months. So, most of the developers and hyperscalers are resorting to natural gas as it’s the fastest option. But even then, permitting is still an issue and risks delays and cancellations as is the case for $NBIS New Jersey data center. Power is now a bigger bottleneck for scaling AI than it’s ever been.

$AMZN CEO: “There is a power shortage in the US and the world.” For new data centers, the most optimistic grid connection wait time is 3 years as power transformer lead times stretch to 12-24 months. So, most of the developers and hyperscalers are resorting to natural gas as it’s the fastest option. But even then, permitting is still an issue and risks delays and cancellations as is the case for $NBIS New Jersey data center. Power is now a bigger bottleneck for scaling AI than it’s ever been.

Oguz Erkan

293,583 次观看 • 2 个月前

🇨🇳 China is building AI data centers so fast that diesel generator factories are running full speed - producing 8 units per day just to keep up. Why diesel? Because AI infrastructure has become too important to rely on unstable power grids. This isn’t about backup power - it’s about AI going strategic. 💡 China’s AI wave is no longer theoretical. Real servers. Real deployments. 💥 Market for diesel generators in data centers: $1.4 billion in 2024 - over 100% growth YoY. And that’s just the infrastructure side of the AI explosion. While Washington is busy banning GPUs, China is busy building its own AI empire - from chip to cloud. No H100? No problem. The power switch is already on. ⚡

🇨🇳 China is building AI data centers so fast that diesel generator factories are running full speed - producing 8 units per day just to keep up. Why diesel? Because AI infrastructure has become too important to rely on unstable power grids. This isn’t about backup power - it’s about AI going strategic. 💡 China’s AI wave is no longer theoretical. Real servers. Real deployments. 💥 Market for diesel generators in data centers: $1.4 billion in 2024 - over 100% growth YoY. And that’s just the infrastructure side of the AI explosion. While Washington is busy banning GPUs, China is busy building its own AI empire - from chip to cloud. No H100? No problem. The power switch is already on. ⚡

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

226,078 次观看 • 1 年前

Support next-generation AI data centers with Supermicro In-Rack Solutions, combining liquid cooling up to 250kW, NVIDIA InfiniBand and Ethernet networking, 33kW Power Shelves, and Battery Backup Units for rack density, resilience, and efficiency.

Support next-generation AI data centers with Supermicro In-Rack Solutions, combining liquid cooling up to 250kW, NVIDIA InfiniBand and Ethernet networking, 33kW Power Shelves, and Battery Backup Units for rack density, resilience, and efficiency.

Supermicro

7,932,108 次观看 • 2 个月前

AMD Instinct MI355X GPUs are here! With leadership 3D packaging, peak efficiency, and breakthrough performance, the MI350 series is advancing AI for data centers, delivering up to 4x gen-on-gen AI compute improvement and up to 35x leap in inferencing. Did you see the #AdvancingAI broadcast?

AMD Instinct MI355X GPUs are here! With leadership 3D packaging, peak efficiency, and breakthrough performance, the MI350 series is advancing AI for data centers, delivering up to 4x gen-on-gen AI compute improvement and up to 35x leap in inferencing. Did you see the #AdvancingAI broadcast?

AMD

53,532 次观看 • 1 年前

$IREN CO-FOUNDER DANIEL ROBERTS: IF SOMEONE WANTED TO BUILD A 1GW AI FACTORY TODAY, THEY LIKELY WOULDN’T GET THEIR FIRST COMPUTE ONLINE UNTIL 2030. THAT SHOWS JUST HOW SEVERE THE POWER BOTTLENECK HAS BECOME ACROSS AI INFRASTRUCTURE. THAT’S WHY ENERGY AND POWER INFRASTRUCTURE PLAYS IN $BE AND $FPS ARE BECOMING INCREASINGLY IMPORTANT AS THE COMPUTE FOOTPRINT OF BUILDERS LIKE $NBIS, $WULF, AND $APLD CONTINUES TO EXPAND.

$IREN CO-FOUNDER DANIEL ROBERTS: IF SOMEONE WANTED TO BUILD A 1GW AI FACTORY TODAY, THEY LIKELY WOULDN’T GET THEIR FIRST COMPUTE ONLINE UNTIL 2030. THAT SHOWS JUST HOW SEVERE THE POWER BOTTLENECK HAS BECOME ACROSS AI INFRASTRUCTURE. THAT’S WHY ENERGY AND POWER INFRASTRUCTURE PLAYS IN $BE AND $FPS ARE BECOMING INCREASINGLY IMPORTANT AS THE COMPUTE FOOTPRINT OF BUILDERS LIKE $NBIS, $WULF, AND $APLD CONTINUES TO EXPAND.

Vivek Sen

212,573 次观看 • 14 天前

$IREN co-founder Daniel Roberts said if someone wanted to build a 1GW AI factory TODAY, they likely would not get first compute online until 2030, reinforcing how severe the power bottleneck has become across AI infrastructure. That is exactly why energy and power infrastructure in $BE and $FPS continue becoming increasingly important to support the expanding compute footprint tied to the builders $NBIS, $WULF, and $APLD.

$IREN co-founder Daniel Roberts said if someone wanted to build a 1GW AI factory TODAY, they likely would not get first compute online until 2030, reinforcing how severe the power bottleneck has become across AI infrastructure. That is exactly why energy and power infrastructure in $BE and $FPS continue becoming increasingly important to support the expanding compute footprint tied to the builders $NBIS, $WULF, and $APLD.

Sam Badawi

486,783 次观看 • 1 个月前