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EIF Insights Part 1: Power is everything. It’s reshaping the grid. Capital is everything. It’s reshaping infrastructure. Flexibility is everything. It’s reshaping computing. And distributed computing is the future. We’re moving toward clusters of computing infrastructure—built where power is abundant, scalable, and increasingly renewable. Instead of moving electrons long...

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John Belizaire

7,723 subscribers

21,054 次观看 • 2 个月前 •via X (Twitter)

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7 条评论

Chad BD 的头像
Chad BD2 个月前

@jbelizaireCEO will it be broadcast live by chance?

WaviWavi 的头像
WaviWavi2 个月前

Great CEO , Honest & Gentleman, Great Future of the Company

Chrisbolt 的头像
Chrisbolt2 个月前

Its always inspiring to hear you!

David 的头像
David2 个月前

@perspez Beautifully articulated 💡

Ed 的头像
Ed2 个月前

John, do you need BESS containers for your sites? There's a pretty "off the radar" company called Microvast that makes a killer energy storage unit and they're HQ'd in Houston. Their SP has been beaten down by the market, but the tech is solid.

Brandon Zabodyn 的头像
Brandon Zabodyn2 个月前

@jbelizaireCEO if you find your way down to Houston, I’ll treat you to lunch/dinner and share the next hidden gem with you that checks all the boxes….

moko1987 的头像
moko19872 个月前

今天很帅啊

相关视频

AI is rapidly evolving, and it’s reshaping how and where computing happens. From data center infrastructure to AI systems in the physical world, to the future of personal AI devices, intelligence is being distributed across a new compute landscape. At the edge, more agentic experiences are starting to show up, expanding what devices need to do. Tomorrow in New York, we’ll share what Qualcomm is building across it and how it will drive our next phase of growth. Stay tuned for #QCOMInvestorDay.
0:32

AI is rapidly evolving, and it’s reshaping how and where computing happens. From data center infrastructure to AI systems in the physical world, to the future of personal AI devices, intelligence is being distributed across a new compute landscape. At the edge, more agentic experiences are starting to show up, expanding what devices need to do. Tomorrow in New York, we’ll share what Qualcomm is building across it and how it will drive our next phase of growth. Stay tuned for #QCOMInvestorDay.

Cristiano R. Amon

15,783 次观看 • 3 个月前

The intermittency problem isn't a reason to avoid renewable energy. It's a reason to build smarter infrastructure around it. Soluna's multi-source power mix, managed in real time by MaestroOS, is what makes always-on compute possible from a renewable generation site. Renewable-first. That’s the future of computing. #RenewableComputing $SLNH
0:33

The intermittency problem isn't a reason to avoid renewable energy. It's a reason to build smarter infrastructure around it. Soluna's multi-source power mix, managed in real time by MaestroOS, is what makes always-on compute possible from a renewable generation site. Renewable-first. That’s the future of computing. #RenewableComputing $SLNH

Soluna

11,662 次观看 • 3 个月前

In the AI age, money will flow through compute. As AI scales, every request becomes a microtransaction of compute, and only infrastructure owners capture that flow. Aethir is building the decentralized compute layer positioned to power and benefit from the AI economy ahead⚡️
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In the AI age, money will flow through compute. As AI scales, every request becomes a microtransaction of compute, and only infrastructure owners capture that flow. Aethir is building the decentralized compute layer positioned to power and benefit from the AI economy ahead⚡️

Aethir

12,538 次观看 • 9 个月前

What AI ultimately demands is not just computility—it’s electricity. Daily token consumption of large language models has skyrocketed by 1,400 times in just two years. As computing power surges ahead, the power grid bears the strain. China’s answer? Electricity-computing synergy.
2:40

What AI ultimately demands is not just computility—it’s electricity. Daily token consumption of large language models has skyrocketed by 1,400 times in just two years. As computing power surges ahead, the power grid bears the strain. China’s answer? Electricity-computing synergy.

State Grid

201,469 次观看 • 5 个月前

AI’s evolution is reshaping power and infrastructure. While others assess, #Bitfarms is expanding, securing, and optimizing to meet new demands. We are not waiting for the future. We are building it now. #Bitfarms #AIInfrastructure #HPC #AI #Power
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AI’s evolution is reshaping power and infrastructure. While others assess, #Bitfarms is expanding, securing, and optimizing to meet new demands. We are not waiting for the future. We are building it now. #Bitfarms #AIInfrastructure #HPC #AI #Power

Bitfarms

13,354 次观看 • 1 年前

Years before AI infrastructure became the most competitive market in tech, we were proving that behind-the-meter computing works at scale. Bitcoin gave us that proof. Real assets. Real operations. Real performance through real market cycles. Now that same model — the same power strategy, the same operational discipline — is expanding to serve AI and high-performance compute demand. The workload evolves. The infrastructure holds. $SLNH
0:33

Years before AI infrastructure became the most competitive market in tech, we were proving that behind-the-meter computing works at scale. Bitcoin gave us that proof. Real assets. Real operations. Real performance through real market cycles. Now that same model — the same power strategy, the same operational discipline — is expanding to serve AI and high-performance compute demand. The workload evolves. The infrastructure holds. $SLNH

Soluna

11,244 次观看 • 3 个月前

Is uranium the future of AI? As demand for cloud computing and AI models continues to explode, the real bottleneck is becoming power. That’s what led me to start looking at nuclear energy and uranium. Small modular reactors could become a major part of the solution, and if AI keeps demanding more electricity, the commodities that power that infrastructure could become just as important as the chips themselves.
1:16

Is uranium the future of AI? As demand for cloud computing and AI models continues to explode, the real bottleneck is becoming power. That’s what led me to start looking at nuclear energy and uranium. Small modular reactors could become a major part of the solution, and if AI keeps demanding more electricity, the commodities that power that infrastructure could become just as important as the chips themselves.

Kevin O'Leary aka Mr. Wonderful

35,073 次观看 • 1 个月前

Holograms in sci-fi always had two ingredients: intelligence and immersion. Luis | Mawari shares why XR + AI can only scale with distributed compute, and not the traditional systems built for video streaming. This is the infrastructure required for the next era of computing 👇🏻
1:02

Holograms in sci-fi always had two ingredients: intelligence and immersion. Luis | Mawari shares why XR + AI can only scale with distributed compute, and not the traditional systems built for video streaming. This is the infrastructure required for the next era of computing 👇🏻

Mawari

31,286 次观看 • 9 个月前

💨 AI shouldn’t be slowed down by its own infrastructure. Introducing Cottonia — a smarter, lighter cloud acceleration layer for AI. We use distributed computing and intelligent scheduling to make AI execution faster & cheaper. ♻️The future of intelligent compute is here.
2:17

💨 AI shouldn’t be slowed down by its own infrastructure. Introducing Cottonia — a smarter, lighter cloud acceleration layer for AI. We use distributed computing and intelligent scheduling to make AI execution faster & cheaper. ♻️The future of intelligent compute is here.

Cottonia

15,706 次观看 • 7 个月前

The next computing shift is already underway — and it’s happening faster than even the people building it expected. Meta CTO Boz joins David George to talk about how the team is rooted in solving real-world problems — and how this new wave of AI is unlike any before, ushering us towards a future beyond the smartphone. Boz says AI isn’t just making things faster or cheaper, it’s making everything better. From interfaces to interaction design, AI is transforming how we build — and how we compute. For more on the future of computing, wearables, and AI-native UX, watch the full conversation with Boz and David:
1:08

The next computing shift is already underway — and it’s happening faster than even the people building it expected. Meta CTO Boz joins David George to talk about how the team is rooted in solving real-world problems — and how this new wave of AI is unlike any before, ushering us towards a future beyond the smartphone. Boz says AI isn’t just making things faster or cheaper, it’s making everything better. From interfaces to interaction design, AI is transforming how we build — and how we compute. For more on the future of computing, wearables, and AI-native UX, watch the full conversation with Boz and David:

a16z

17,489 次观看 • 1 年前

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.
1:51

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

35,540 次观看 • 4 个月前

$IBM is having its worst day in nearly six decades after its CEO said customers redirected quarterly spending toward servers, storage and memory to secure supply-constrained infrastructure ahead of expected price increases. That comment is huge because it provides one of the clearest real-world examples yet of the AI infrastructure buildout reshaping enterprise technology budgets. Demand for compute, memory, networking, power, cooling and skilled labor is becoming so large that companies are being forced to reallocate capital across the rest of their businesses.
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$IBM is having its worst day in nearly six decades after its CEO said customers redirected quarterly spending toward servers, storage and memory to secure supply-constrained infrastructure ahead of expected price increases. That comment is huge because it provides one of the clearest real-world examples yet of the AI infrastructure buildout reshaping enterprise technology budgets. Demand for compute, memory, networking, power, cooling and skilled labor is becoming so large that companies are being forced to reallocate capital across the rest of their businesses.

Shay Boloor

109,549 次观看 • 2 个月前

Dan Ives on CNBC said the AI Revolution could drive nearly $4T of spending over the next 3-4 years and believes the industry is still only “15-20%” through the broader infrastructure buildout cycle. He also called quantum computing a “derivative play on AI” and highlighted quantum stocks $IBM, $IONQ, $QBTS, and $RGTI as part of the next layer of the AI ecosystem. More importantly, Dan Ives said this next phase increasingly expands beyond just $NVDA into hyperscalers, power infrastructure, datacenters, and eventually quantum itself as the AI arms race between the U.S. and China continues accelerating. He also reiterated that demand for AI infrastructure is still accelerating and does not yet include physical AI or China, reinforcing his bullish view across the broader ecosystem tied to compute, power, and infrastructure.
5:34

Dan Ives on CNBC said the AI Revolution could drive nearly $4T of spending over the next 3-4 years and believes the industry is still only “15-20%” through the broader infrastructure buildout cycle. He also called quantum computing a “derivative play on AI” and highlighted quantum stocks $IBM, $IONQ, $QBTS, and $RGTI as part of the next layer of the AI ecosystem. More importantly, Dan Ives said this next phase increasingly expands beyond just $NVDA into hyperscalers, power infrastructure, datacenters, and eventually quantum itself as the AI arms race between the U.S. and China continues accelerating. He also reiterated that demand for AI infrastructure is still accelerating and does not yet include physical AI or China, reinforcing his bullish view across the broader ecosystem tied to compute, power, and infrastructure.

Sam Badawi

65,947 次观看 • 4 个月前

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59:04

AI, compute, and Tokens are beginning to reshape the relationship between technology and the global economy. In DeepTalk Vol.4 — The Token Era: Compute Infrastructure Reshaping the Future Economy — we explored some key questions: What skills will remain irreplaceable in the AI era? Why is the logic behind Token valuation changing? How will humans and AI collaborate in the future? And what will define the next generation of competitiveness? This conversation goes beyond technology itself. It’s about how AI is starting to reshape economic systems, infrastructure, and the way value is created. #Token #AI #Infrastructure #ChinaAMC #DeepTalk

China Asset Management

12,846 次观看 • 3 个月前

Today on CNBC Power Lunch, TeraWulf CEO Paul Prager summed up the AI/HPC bottleneck perfectly. Brian Sullivan: “Is there any indication that companies needing compute power are dialing back? Considering Google is one of your clients.” Paul Prager: “Not to my knowledge… GPUs are critical, but the real constraint now is scalable power infrastructure.” Paul made clear today that WULF’s edge in AI/HPC starts with energy infrastructure and scalable power, built on 25 years of experience. Interview faded out a bit at the end, apologies. Also, while this was airing, $WULF hit a new 52-wk high of $26.85 🐺
5:20

Today on CNBC Power Lunch, TeraWulf CEO Paul Prager summed up the AI/HPC bottleneck perfectly. Brian Sullivan: “Is there any indication that companies needing compute power are dialing back? Considering Google is one of your clients.” Paul Prager: “Not to my knowledge… GPUs are critical, but the real constraint now is scalable power infrastructure.” Paul made clear today that WULF’s edge in AI/HPC starts with energy infrastructure and scalable power, built on 25 years of experience. Interview faded out a bit at the end, apologies. Also, while this was airing, $WULF hit a new 52-wk high of $26.85 🐺

Scott

11,667 次观看 • 4 个月前

Daniel Roberts of $IREN just laid out the brutal reality of the AI infrastructure buildout. He noted we are still in the dial up era of AI. The ultimate choke point is power. It requires steel, concrete, and years of physical construction. Starting a gigawatt AI factory today means you will not see the first compute online until the 2030s. It takes 18 to 24 months just to get a utility company to confirm if a piece of land even has power access. The market is pricing in rapid software scaling, but the physical bottlenecks are severe and unavoidable. The capital moving into power generation and data center infrastructure is a multi year trend. It’s not a sprint it’s a marathon.
1:10

Daniel Roberts of $IREN just laid out the brutal reality of the AI infrastructure buildout. He noted we are still in the dial up era of AI. The ultimate choke point is power. It requires steel, concrete, and years of physical construction. Starting a gigawatt AI factory today means you will not see the first compute online until the 2030s. It takes 18 to 24 months just to get a utility company to confirm if a piece of land even has power access. The market is pricing in rapid software scaling, but the physical bottlenecks are severe and unavoidable. The capital moving into power generation and data center infrastructure is a multi year trend. It’s not a sprint it’s a marathon.

Patient Investor

176,637 次观看 • 4 个月前

We’re no longer just scaling computing power. We’re using compute to scale intelligence itself. That’s what makes this moment historically significant. For sixty years, progress in computing followed Moore’s Law—transistor density doubling roughly every two years. But AI is advancing on a far steeper curve. Today, frontier model capabilities are improving on a cadence closer to every six months—an order of magnitude faster than classical hardware scaling. The underlying principle is both simple and radical: when you increase data, compute, and model complexity, intelligence emerges. Scaling laws show that larger models—given sufficient compute and high-quality data—become predictably more capable. In just over a decade, we’ve gone from neural nets that could identify cats to systems that can draft legal briefs, write production-grade code, generate scientific hypotheses, and outperform top human competitors in mathematics, strategy, and reasoning tasks. This is no longer “software” in the traditional sense. It is a new form of intelligence—synthetic, scalable, rapidly compounding, and increasingly able to take meaningful action in the real world. The geopolitical, economic, and societal implications of this shift are only beginning to unfold—and they will redefine global power in the decades ahead.
2:04

We’re no longer just scaling computing power. We’re using compute to scale intelligence itself. That’s what makes this moment historically significant. For sixty years, progress in computing followed Moore’s Law—transistor density doubling roughly every two years. But AI is advancing on a far steeper curve. Today, frontier model capabilities are improving on a cadence closer to every six months—an order of magnitude faster than classical hardware scaling. The underlying principle is both simple and radical: when you increase data, compute, and model complexity, intelligence emerges. Scaling laws show that larger models—given sufficient compute and high-quality data—become predictably more capable. In just over a decade, we’ve gone from neural nets that could identify cats to systems that can draft legal briefs, write production-grade code, generate scientific hypotheses, and outperform top human competitors in mathematics, strategy, and reasoning tasks. This is no longer “software” in the traditional sense. It is a new form of intelligence—synthetic, scalable, rapidly compounding, and increasingly able to take meaningful action in the real world. The geopolitical, economic, and societal implications of this shift are only beginning to unfold—and they will redefine global power in the decades ahead.

Nina Schick

17,750 次观看 • 8 个月前

America must stockpile compute for the new era of national security. Armada just secured $230M to help build that compute stockpile, developing modular edge data centers for critical infrastructure and remote environments. U.S. Navy ships, oil rigs, remote mines, manufacturing facilities, and critical infrastructure sites are becoming the front lines of data generation, where 75% of data is now being generated. Our interview with Armada CEO Dan Wright breaks down the rise of hyperscaler infrastructure at the edge and why decentralized compute is becoming one of the most important strategic assets.
7:53

America must stockpile compute for the new era of national security. Armada just secured $230M to help build that compute stockpile, developing modular edge data centers for critical infrastructure and remote environments. U.S. Navy ships, oil rigs, remote mines, manufacturing facilities, and critical infrastructure sites are becoming the front lines of data generation, where 75% of data is now being generated. Our interview with Armada CEO Dan Wright breaks down the rise of hyperscaler infrastructure at the edge and why decentralized compute is becoming one of the most important strategic assets.

Atoms Not Bits

28,618 次观看 • 3 个月前

We hired the guy who built hyperscale AI data centers at Microsoft. Over 3GW of projects. Ryan Carver is Soluna’s new Chief Development Officer. Full lifecycle—site, power, construction, operations. Turning surplus clean energy into real compute. It’s time to build. $SLNH Soluna
2:21

We hired the guy who built hyperscale AI data centers at Microsoft. Over 3GW of projects. Ryan Carver is Soluna’s new Chief Development Officer. Full lifecycle—site, power, construction, operations. Turning surplus clean energy into real compute. It’s time to build. $SLNH Soluna

John Belizaire

49,577 次观看 • 2 个月前

AI infrastructure is about optimizing the entire system. Hear Meta's Head of Infrastructure Santosh Janardhan explain why co-designing compute, servers, networking, power and cooling as one system is key to unlocking greater data center performance.
0:41

AI infrastructure is about optimizing the entire system. Hear Meta's Head of Infrastructure Santosh Janardhan explain why co-designing compute, servers, networking, power and cooling as one system is key to unlocking greater data center performance.

AMD

35,816 次观看 • 22 天前