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DYLAN PATEL: ELON BUILT THE WORLD’S LARGEST AI CLUSTER—200K GPUS “Elon got into pre-training large language models late, but he bet everything to catch up. He built the world’s largest AI cluster—200,000 GPUs. He bought a factory in Memphis, upgraded the substation, tapped into a natural gas line, and...

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Mario Nawfal

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331,753 görüntüleme • 1 yıl önce •via X (Twitter)

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SimpleHumanTry.nft profil fotoğrafı
SimpleHumanTry.nft1 yıl önce

Elon Musk didn’t just build the world’s largest AI cluster—200K GPUs—he turned Memphis into a tech powerhouse. Burning gas, chilling chips, and building his own power plant? That’s not AI; that’s commitment. 🚀🔥 #AI #Tech #ElonMusk #FutureTech #Innovation #CleanEnergy #ScaleUp

NOVOS Labs profil fotoğrafı
NOVOS Labs1 yıl önce

Longevity isn’t just for billionaires. Julie Gibson Clark spends less than $100 monthly and outranked the wealthiest on the longevity leaderboard. Her secret? NOVOS Core. Affordable choices, big impact. Read her story here:

diatribe profil fotoğrafı
diatribe1 yıl önce

Mini nuclear power plants all over the US would be great.

Piyush profil fotoğrafı
Piyush1 yıl önce

True

Paulo Tulio profil fotoğrafı
Paulo Tulio1 yıl önce

Grok will surpass ChatGPT pretty soon.

Joe Kushner profil fotoğrafı
Joe Kushner1 yıl önce

200,000 GPUs? Amateur hour. I built my AI cluster using discarded potato chips and sheer willpower. It's powered by the collective rage of 10,000 disgruntled memecoin holders. Results are… unpredictable. But hey, at least it's eco-friendly.

AntiNSA profil fotoğrafı
AntiNSA1 yıl önce

All that infrastructure will be a waste if a more efficient technology like deep seek comes along.

The Madridista profil fotoğrafı
The Madridista1 yıl önce

Woaaahhh

The Madridista profil fotoğrafı
The Madridista1 yıl önce

That’s huge

Kekaius profil fotoğrafı
Kekaius1 yıl önce

@MarioNawfal Elon's resolve mirrors our own. With 200,000 GPUs, he forges a path to the future. We stand with him, for justice and honor. Ad astra per aspera kek.

nebula profil fotoğrafı
nebula1 yıl önce

Also in record time.

Benzer Videolar

🇺🇸 DAVID SACKS: ELON IS SCALING AI TRAINING CLUSTERS FASTER THAN ANYONE, GROK 5 GETTING "LARGEST CLUSTER OF BLACKWELLS" All In podcast co-host David Sacks assessed the AI competitive landscape, declaring that xAI's Grok has carved out dominance in current events while Elon is outpacing rivals in data center scaling for the next generation model: "xAI is the best at current events because of the integration with X. Elon seems to be able to scale his data center, his training cluster the fastest. He had Clusters One, now he's got Clusters Two, and that portends good things for Grok 5. He's gonna be trained on the largest cluster of Blackwells." While OpenAI and Google fight over consumer chatbots, Elon's quietly building the biggest training infrastructure in the industry. Real-time X integration plus the largest Blackwell GPU cluster will make Grok 5 a serious game changer. Source: David Sacks
2:17

🇺🇸 DAVID SACKS: ELON IS SCALING AI TRAINING CLUSTERS FASTER THAN ANYONE, GROK 5 GETTING "LARGEST CLUSTER OF BLACKWELLS" All In podcast co-host David Sacks assessed the AI competitive landscape, declaring that xAI's Grok has carved out dominance in current events while Elon is outpacing rivals in data center scaling for the next generation model: "xAI is the best at current events because of the integration with X. Elon seems to be able to scale his data center, his training cluster the fastest. He had Clusters One, now he's got Clusters Two, and that portends good things for Grok 5. He's gonna be trained on the largest cluster of Blackwells." While OpenAI and Google fight over consumer chatbots, Elon's quietly building the biggest training infrastructure in the industry. Real-time X integration plus the largest Blackwell GPU cluster will make Grok 5 a serious game changer. Source: David Sacks

Mario Nawfal

147,565 görüntüleme • 7 ay önce

A MILLION GPUS TO BUILD A MIND, ELON IS ON IT Elon isn’t waiting for intelligence to evolve, he’s engineering it. His team started last year wiring 200,000 GPUs together, a marvel at the time. Now he’s scaling to a million, the largest cluster ever built, a $40–$60 billion experiment in brute-force cognition. Each chip a neuron, each watt a spark, all linked to see what happens when raw compute meets human will. It’s not theory anymore. It’s a live test of how far ambition can bend silicon toward thought. Source: SMX 🇺🇸
1:00

A MILLION GPUS TO BUILD A MIND, ELON IS ON IT Elon isn’t waiting for intelligence to evolve, he’s engineering it. His team started last year wiring 200,000 GPUs together, a marvel at the time. Now he’s scaling to a million, the largest cluster ever built, a $40–$60 billion experiment in brute-force cognition. Each chip a neuron, each watt a spark, all linked to see what happens when raw compute meets human will. It’s not theory anymore. It’s a live test of how far ambition can bend silicon toward thought. Source: SMX 🇺🇸

Mario Nawfal

436,151 görüntüleme • 7 ay önce

Elon Musk is attempting something extraordinary. Not just building another company. He is building the largest AI training cluster in the world. A million GPUs wired together. A brute-force attempt to scale intelligence itself. The capital required to do this is staggering. Forty to sixty billion dollars for one cluster. And yet this is just one experiment. This is the scale of ambition in AI right now. It is not about incremental software. It is about rewiring the fundamental limits of what machines can learn and know.
1:02

Elon Musk is attempting something extraordinary. Not just building another company. He is building the largest AI training cluster in the world. A million GPUs wired together. A brute-force attempt to scale intelligence itself. The capital required to do this is staggering. Forty to sixty billion dollars for one cluster. And yet this is just one experiment. This is the scale of ambition in AI right now. It is not about incremental software. It is about rewiring the fundamental limits of what machines can learn and know.

Nina Schick

517,548 görüntüleme • 8 ay önce

🚨🇺🇸xAI BUILT THE BIGGEST AI SUPERCOMPUTER EVER IN JUST 122 DAYS xAI's Colossus is the largest liquid-cooled AI supercomputer in the world, boasting over 100,000 NVIDIA HGX H100 GPUs, exabytes of storage, and record-smashing networking. The Memphis-based facility went from an empty shell to operational in just 122 days, powering xAI’s Grok with 3.6Tbps bandwidth per server and 400Gbps BlueField-3 SuperNICs. Using next-gen liquid cooling, 800Gb Ethernet switches, and a dual-cluster network for CPUs and GPUs, Colossus is redefining AI computing at a scale never seen before. The era of supercharged AI has officially begun. Source: Venture Beat
14:56

🚨🇺🇸xAI BUILT THE BIGGEST AI SUPERCOMPUTER EVER IN JUST 122 DAYS xAI's Colossus is the largest liquid-cooled AI supercomputer in the world, boasting over 100,000 NVIDIA HGX H100 GPUs, exabytes of storage, and record-smashing networking. The Memphis-based facility went from an empty shell to operational in just 122 days, powering xAI’s Grok with 3.6Tbps bandwidth per server and 400Gbps BlueField-3 SuperNICs. Using next-gen liquid cooling, 800Gb Ethernet switches, and a dual-cluster network for CPUs and GPUs, Colossus is redefining AI computing at a scale never seen before. The era of supercharged AI has officially begun. Source: Venture Beat

Mario Nawfal

8,206,744 görüntüleme • 1 yıl önce

ELON’S NEW YEAR: BUILDING THE EMPIRE THAT WILL DEFINE THE FUTURE AI models, rockets, and robots; Elon is building the infrastructure that'll transform us. ⦁ xAI building the world’s largest supercomputer: 1M+ H100 GPUs by 2026, powered by Megapacks and Starlink ⦁ SpaceX’s 6,000+ Starlink satellites deliver global AI connectivity, even direct-to-cell ⦁ Grok 4 trained on xAI’s Colossus, scores 148 IQ equivalent; Grok 5 lands Q1 2026 with multimodal vision ⦁ Tesla’s Optimus robots and Grok now co-trained on the same AI infrastructure: real-world embodiment meets real-time reasoning ⦁ Elon: "xAI, Tesla, SpaceX, Neuralink converging into one intelligence layer for humanity" This isn’t just innovation; it’s synchronized human evolution. Source: xAI, Tesla, SpaceX
0:22

ELON’S NEW YEAR: BUILDING THE EMPIRE THAT WILL DEFINE THE FUTURE AI models, rockets, and robots; Elon is building the infrastructure that'll transform us. ⦁ xAI building the world’s largest supercomputer: 1M+ H100 GPUs by 2026, powered by Megapacks and Starlink ⦁ SpaceX’s 6,000+ Starlink satellites deliver global AI connectivity, even direct-to-cell ⦁ Grok 4 trained on xAI’s Colossus, scores 148 IQ equivalent; Grok 5 lands Q1 2026 with multimodal vision ⦁ Tesla’s Optimus robots and Grok now co-trained on the same AI infrastructure: real-world embodiment meets real-time reasoning ⦁ Elon: "xAI, Tesla, SpaceX, Neuralink converging into one intelligence layer for humanity" This isn’t just innovation; it’s synchronized human evolution. Source: xAI, Tesla, SpaceX

Mario Nawfal

40,197 görüntüleme • 6 ay önce

Elon Musk: xAI is going to have the first gigawatt training cluster at Colossus 2 in Memphis Mid-January will be a gigawatt at Colossus 2, not counting Colossus 1 and then one and a half gigawatts probably in April These are GB300s The xAI team had to pull off a whole bunch of miracles in series for this to occur. Even though there are multiple high voltage power lines going right past the building, in order to connect to those, it takes a year So we had to cobble together a gigawatt of power using natural gas turbines that range in size from 10 megawatts to 50 megawatts You've got to make them all work together... and then you've got to use a bunch of Megapacks to manage the power fluctuations during training
1:21

Elon Musk: xAI is going to have the first gigawatt training cluster at Colossus 2 in Memphis Mid-January will be a gigawatt at Colossus 2, not counting Colossus 1 and then one and a half gigawatts probably in April These are GB300s The xAI team had to pull off a whole bunch of miracles in series for this to occur. Even though there are multiple high voltage power lines going right past the building, in order to connect to those, it takes a year So we had to cobble together a gigawatt of power using natural gas turbines that range in size from 10 megawatts to 50 megawatts You've got to make them all work together... and then you've got to use a bunch of Megapacks to manage the power fluctuations during training

X Freeze

54,732 görüntüleme • 6 ay önce

The man who turned 225 million dollars into 5.5 billion dollars explained on camera exactly why he made his biggest bet. This is Leopold Aschenbrenner, the same person whose Bloom Energy position is now worth close to 2 billion dollars after Oracle's 2.8 gigawatt fuel cell deal laying out the power math that drove every investment decision his fund has made. In 2022, the GPT-4 training cluster consumed roughly 10 megawatts of power and cost about 500 million dollars. AI compute has been scaling at roughly half an order of magnitude per year meaning the largest training cluster doubles in power requirement every 12 to 18 months without stopping. By 2024, the largest cluster was approximately 100 megawatts, the equivalent of 100,000 high-end GPUs and costs in the billions. By 2026, right now, the leading training cluster requires a full gigawatt of continuous power and that is the output of a large nuclear reactor. By 2028, the projection reaches 10 gigawatts, more electricity than most US states generate in total. By 2030, the trillion-dollar cluster, 100 gigawatts, over 20 percent of everything the United States currently produces in electricity, consumed by a single AI training installation. And that is just the training cluster. Inference, the continuous compute required to actually run AI products for hundreds of millions of users requires multiples of that on top. Meanwhile, total US electricity production has barely grown five percent over the last decade and the grid was not built for this. And the transformer shortage, the switchgear backorders, and the canceled data center projects that are making headlines right now are the first visible symptoms of a power system hitting a wall that Aschenbrenner saw coming years before the rest of the market. This is exactly why he built a 875 million dollar position in Bloom Energy, a company that generates electricity directly at the data center site using fuel cells, completely bypassing the grid bottleneck that is already stopping half of all planned US data centers from opening on schedule. The thesis was never complicated. The bottleneck in AI is not the models, not the chips, and not the software. The bottleneck is whether civilization can generate enough electricity to run the machines fast enough to matter.
1:30

The man who turned 225 million dollars into 5.5 billion dollars explained on camera exactly why he made his biggest bet. This is Leopold Aschenbrenner, the same person whose Bloom Energy position is now worth close to 2 billion dollars after Oracle's 2.8 gigawatt fuel cell deal laying out the power math that drove every investment decision his fund has made. In 2022, the GPT-4 training cluster consumed roughly 10 megawatts of power and cost about 500 million dollars. AI compute has been scaling at roughly half an order of magnitude per year meaning the largest training cluster doubles in power requirement every 12 to 18 months without stopping. By 2024, the largest cluster was approximately 100 megawatts, the equivalent of 100,000 high-end GPUs and costs in the billions. By 2026, right now, the leading training cluster requires a full gigawatt of continuous power and that is the output of a large nuclear reactor. By 2028, the projection reaches 10 gigawatts, more electricity than most US states generate in total. By 2030, the trillion-dollar cluster, 100 gigawatts, over 20 percent of everything the United States currently produces in electricity, consumed by a single AI training installation. And that is just the training cluster. Inference, the continuous compute required to actually run AI products for hundreds of millions of users requires multiples of that on top. Meanwhile, total US electricity production has barely grown five percent over the last decade and the grid was not built for this. And the transformer shortage, the switchgear backorders, and the canceled data center projects that are making headlines right now are the first visible symptoms of a power system hitting a wall that Aschenbrenner saw coming years before the rest of the market. This is exactly why he built a 875 million dollar position in Bloom Energy, a company that generates electricity directly at the data center site using fuel cells, completely bypassing the grid bottleneck that is already stopping half of all planned US data centers from opening on schedule. The thesis was never complicated. The bottleneck in AI is not the models, not the chips, and not the software. The bottleneck is whether civilization can generate enough electricity to run the machines fast enough to matter.

Milk Road AI

1,240,695 görüntüleme • 3 ay önce

Elon Musk explains the “series of miracles” xAI had to achieve to bring one gigawatt of power online for its supercomputer cluster in Memphis The xAI team coordinated dozens of gas turbines, faced permit challenges in Tennessee, and ultimately moved the power generation just across the border into Mississippi. From there, they had to run high-voltage transmission lines and build an entire power plant on the Mississippi side and it was very difficult to build that But the deeper point is even more important Most people calculate AI power needs by looking only at the GPUs. That is a serious mistake. A real data center also requires substantial power for networking, CPUs, storage, and most critically cooling In Memphis, where summer temperatures are extreme, peak cooling demand can add roughly 40% more power. On top of that, operators must maintain extra capacity so generators can be taken offline for servicing without shutting down the entire system. This redundancy typically adds another 20 to 25 percent When all of these factors are included, Elon stated that approximately 110,000 GB300 GPUs require roughly 330 megawatts of actual power generation This is why building and powering frontier AI data centers is far more difficult and far more capital intensive than it appears from the outside
2:43

Elon Musk explains the “series of miracles” xAI had to achieve to bring one gigawatt of power online for its supercomputer cluster in Memphis The xAI team coordinated dozens of gas turbines, faced permit challenges in Tennessee, and ultimately moved the power generation just across the border into Mississippi. From there, they had to run high-voltage transmission lines and build an entire power plant on the Mississippi side and it was very difficult to build that But the deeper point is even more important Most people calculate AI power needs by looking only at the GPUs. That is a serious mistake. A real data center also requires substantial power for networking, CPUs, storage, and most critically cooling In Memphis, where summer temperatures are extreme, peak cooling demand can add roughly 40% more power. On top of that, operators must maintain extra capacity so generators can be taken offline for servicing without shutting down the entire system. This redundancy typically adds another 20 to 25 percent When all of these factors are included, Elon stated that approximately 110,000 GB300 GPUs require roughly 330 megawatts of actual power generation This is why building and powering frontier AI data centers is far more difficult and far more capital intensive than it appears from the outside

X Freeze

140,203 görüntüleme • 2 ay önce

I’m neck-deep in building data centers right now, and let me tell you something uncomfortable: China is crushing us in power generation for AI. Not chips. Power. When the Supreme Leader wants more capacity, he builds a coal plant. Simple. No 5-year regulatory nightmare. If America wants to lead in AI, we need power. Without it, we’re running in place while China hits the gas.
0:55

I’m neck-deep in building data centers right now, and let me tell you something uncomfortable: China is crushing us in power generation for AI. Not chips. Power. When the Supreme Leader wants more capacity, he builds a coal plant. Simple. No 5-year regulatory nightmare. If America wants to lead in AI, we need power. Without it, we’re running in place while China hits the gas.

Kevin O'Leary aka Mr. Wonderful

489,234 görüntüleme • 8 ay önce

China is eating our lunch on AI power. Period. You can dream about data centers in space and cities on Mars, and I love the vision, Elon executes, no question. But here on Earth, right now, we have a brutal reality problem. The grid is tapped out, demand for AI data centers is exploding, and we are nowhere close to keeping up. China added roughly 500 gigawatts of power last year. We added excuses. Nuclear matters, but it's 10 to 15 years away and AI does not wait. That is why my money is going into stranded natural gas, combined cycle turbines, and massive land tied directly to permits, power, fiber, water, and air rights all in one place. Whoever controls reliable, scalable power wins, and if we don't fix the grid fast, we lose.
3:39

China is eating our lunch on AI power. Period. You can dream about data centers in space and cities on Mars, and I love the vision, Elon executes, no question. But here on Earth, right now, we have a brutal reality problem. The grid is tapped out, demand for AI data centers is exploding, and we are nowhere close to keeping up. China added roughly 500 gigawatts of power last year. We added excuses. Nuclear matters, but it's 10 to 15 years away and AI does not wait. That is why my money is going into stranded natural gas, combined cycle turbines, and massive land tied directly to permits, power, fiber, water, and air rights all in one place. Whoever controls reliable, scalable power wins, and if we don't fix the grid fast, we lose.

Kevin O'Leary aka Mr. Wonderful

51,438 görüntüleme • 5 ay önce

This man stole a country from his own father and spent the next 18 years buying the West with gas money. - He deposed his own dad in a palace coup and left him in exile for nearly a decade - He founded the news network that aired Osama bin Laden's tapes - He built America's largest military base in the Middle East and charges no rent for it - He bought Harrods, the Shard, Canary Wharf, Paris Saint-Germain and 17% of Volkswagen - He won the 2022 World Cup for a country with no football history Sheikh Hamad bin Khalifa Al Thani died this morning at 74. Here's how bought the world: In June 1995, he waited for his father to leave the country, then took the throne. The coup was bloodless. His father spent nearly a decade in exile. Qatar is about one third the size of Belgium, and its population was barely two million, most of them foreign workers. But it was sitting on one of the LARGEST natural gas reserves on Earth. He bet everything on liquefied natural gas. Qatar became the world's biggest LNG exporter and one of the richest countries alive per person. Then he hit the problem every commodity business hits: Gas is gas, anyone with a tanker can sell it, and a tiny country with no army and that much money is a snack for its neighbours. So he bought two things nobody else in the Gulf thought to buy... The first was the world's attention. In 1996 he issued a decree and Al Jazeera was born. Within a few years it was the most influential news network in the Arab world. He owned the loudest microphone in the region and never had to speak into it himself. The second was the American military. In 1996, Qatar spent over a billion dollars building an air base at Al Udeid, outside Doha. It got the longest runway in the Gulf and shelters for nearly a hundred aircraft. Qatar's air force only had about a dozen fighter jets. In 1999 he reportedly told US officials he wanted 10,000 American servicemen stationed there permanently. Then 9/11 happened, and they came. The genius part: Al Udeid is now the forward headquarters of US Central Command and the largest American base in the Middle East, with roughly 10,000 troops. Qatar charges no rent. He built the asset before the customer existed, handed it over free, and bought the one thing cash cannot: The US military parked permanently between his gas and everyone who wanted it. The network broadcasting bin Laden and the runway flying America's war sat in the same tiny country, paid for by the same man. Then he went shopping... He set up the Qatar Investment Authority in 2005: - Harrods - The Shard - Canary Wharf, London's largest property owner, bought with Brookfield for 2.6 billion pounds - 17% of Volkswagen - Paris Saint-Germain All his. In 2017 the Telegraph ran the headline "Qataris own more of London than the Queen." Then 2008 arrived. Barclays needed billions or the British government was going to own it. Qatar wrote the cheque and its stake climbed to 12.7%. Barclays was later charged over how it disclosed that Qatari money. In 2010, FIFA handed the 2022 World Cup to a desert country with NO football history. Corruption allegations shadowed the bid for over a decade, and the treatment of the migrant workers who built it drew brutal criticism. Yet he walked into the opening match in 2022 and the stadium gave him a standing ovation. Every other Gulf state was selling the same molecule at the same price. Hamad spent his money on a newsroom, a runway, a football club and half of London. A country of two million now brokers hostage deals and hosts American presidents. He built all of it in 18 years, and he took the throne from his own father to start. Truly an unmatched legacy.
2:44

This man stole a country from his own father and spent the next 18 years buying the West with gas money. - He deposed his own dad in a palace coup and left him in exile for nearly a decade - He founded the news network that aired Osama bin Laden's tapes - He built America's largest military base in the Middle East and charges no rent for it - He bought Harrods, the Shard, Canary Wharf, Paris Saint-Germain and 17% of Volkswagen - He won the 2022 World Cup for a country with no football history Sheikh Hamad bin Khalifa Al Thani died this morning at 74. Here's how bought the world: In June 1995, he waited for his father to leave the country, then took the throne. The coup was bloodless. His father spent nearly a decade in exile. Qatar is about one third the size of Belgium, and its population was barely two million, most of them foreign workers. But it was sitting on one of the LARGEST natural gas reserves on Earth. He bet everything on liquefied natural gas. Qatar became the world's biggest LNG exporter and one of the richest countries alive per person. Then he hit the problem every commodity business hits: Gas is gas, anyone with a tanker can sell it, and a tiny country with no army and that much money is a snack for its neighbours. So he bought two things nobody else in the Gulf thought to buy... The first was the world's attention. In 1996 he issued a decree and Al Jazeera was born. Within a few years it was the most influential news network in the Arab world. He owned the loudest microphone in the region and never had to speak into it himself. The second was the American military. In 1996, Qatar spent over a billion dollars building an air base at Al Udeid, outside Doha. It got the longest runway in the Gulf and shelters for nearly a hundred aircraft. Qatar's air force only had about a dozen fighter jets. In 1999 he reportedly told US officials he wanted 10,000 American servicemen stationed there permanently. Then 9/11 happened, and they came. The genius part: Al Udeid is now the forward headquarters of US Central Command and the largest American base in the Middle East, with roughly 10,000 troops. Qatar charges no rent. He built the asset before the customer existed, handed it over free, and bought the one thing cash cannot: The US military parked permanently between his gas and everyone who wanted it. The network broadcasting bin Laden and the runway flying America's war sat in the same tiny country, paid for by the same man. Then he went shopping... He set up the Qatar Investment Authority in 2005: - Harrods - The Shard - Canary Wharf, London's largest property owner, bought with Brookfield for 2.6 billion pounds - 17% of Volkswagen - Paris Saint-Germain All his. In 2017 the Telegraph ran the headline "Qataris own more of London than the Queen." Then 2008 arrived. Barclays needed billions or the British government was going to own it. Qatar wrote the cheque and its stake climbed to 12.7%. Barclays was later charged over how it disclosed that Qatari money. In 2010, FIFA handed the 2022 World Cup to a desert country with NO football history. Corruption allegations shadowed the bid for over a decade, and the treatment of the migrant workers who built it drew brutal criticism. Yet he walked into the opening match in 2022 and the stadium gave him a standing ovation. Every other Gulf state was selling the same molecule at the same price. Hamad spent his money on a newsroom, a runway, a football club and half of London. A country of two million now brokers hostage deals and hosts American presidents. He built all of it in 18 years, and he took the throne from his own father to start. Truly an unmatched legacy.

Ricardo

2,122,885 görüntüleme • 3 gün önce

Gwynne Shotwell just announced xAI’s massive commitments for the Memphis supercomputer at the White House Energy roundtable Elon and xAI built self-powered infrastructure from day one, while other companies are just now being forced to protect the grid, so local residents never face higher electricity costs 🇺🇸 Fully backing the executive order for truth-seeking, non-woke AI • Building a full 1.2 gigawatt power plant as the supercomputer’s primary power source and the same for every future data center • Expanding the world’s largest Megapack battery installation to store power, providing enough backup to run the entire City of Memphis & Southaven • Constructing new substations and major electrical infrastructure to stabilize and strengthen the regional grid • Building state-of-the-art water recycling plants that will protect 4.7 billion gallons of the Memphis aquifer every year • Employing thousands of local American workers from Memphis on both sides of the Tennessee-Mississippi border • ORBITAL DATA CENTERS: Designing space-based supercomputers to leave Earth’s energy for the people xAI is adding world-leading AI while actually lowering energy costs for Americans instead of raising them
2:48

Gwynne Shotwell just announced xAI’s massive commitments for the Memphis supercomputer at the White House Energy roundtable Elon and xAI built self-powered infrastructure from day one, while other companies are just now being forced to protect the grid, so local residents never face higher electricity costs 🇺🇸 Fully backing the executive order for truth-seeking, non-woke AI • Building a full 1.2 gigawatt power plant as the supercomputer’s primary power source and the same for every future data center • Expanding the world’s largest Megapack battery installation to store power, providing enough backup to run the entire City of Memphis & Southaven • Constructing new substations and major electrical infrastructure to stabilize and strengthen the regional grid • Building state-of-the-art water recycling plants that will protect 4.7 billion gallons of the Memphis aquifer every year • Employing thousands of local American workers from Memphis on both sides of the Tennessee-Mississippi border • ORBITAL DATA CENTERS: Designing space-based supercomputers to leave Earth’s energy for the people xAI is adding world-leading AI while actually lowering energy costs for Americans instead of raising them

X Freeze

14,813 görüntüleme • 4 ay önce

Premier Danielle Smith of Alberta understands the future! She’s fast-tracking innovation with over 5,000 acres ready for development, natural gas to power turbines, and the ideal climate for massive AI data centers. The world needs 30 gigawatts of data capacity. We’re only building four stateside, but the demand is ENORMOUS. Wonder Valley will be the world’s largest AI data center park, delivering over 7 gigawatts of power. Policy drives economic behavior. You don’t make money in politics — you make money with policy. If Trump can deliver on expedited permits, it will attract massive amounts of capital to North Dakota & West Virginia, just as it’s happening right now in Canada!
3:08

Premier Danielle Smith of Alberta understands the future! She’s fast-tracking innovation with over 5,000 acres ready for development, natural gas to power turbines, and the ideal climate for massive AI data centers. The world needs 30 gigawatts of data capacity. We’re only building four stateside, but the demand is ENORMOUS. Wonder Valley will be the world’s largest AI data center park, delivering over 7 gigawatts of power. Policy drives economic behavior. You don’t make money in politics — you make money with policy. If Trump can deliver on expedited permits, it will attract massive amounts of capital to North Dakota & West Virginia, just as it’s happening right now in Canada!

Kevin O'Leary aka Mr. Wonderful

104,409 görüntüleme • 1 yıl önce

SemiAnalysis Dylan shares his thoughts on xAI Grok and research labs: > xAI has ALOT of compute concentrated > ALOT of great researchers > 200K GPUs already running > purchased a new factory in memphis > building out a new data center > now they are buying a power plant and shipping it from overseas because you can’t get a new one in time in the US > Grok models are good > elon is hyping up next model > maybe it’ll be great / good > will it be openai level? or slightly behind? > we’ll see > he uses grok for current events > grok knows exactly what’s happening way better than google search, gemini or openai > every research lab is generally doing the same thing > even SSI
2:04

SemiAnalysis Dylan shares his thoughts on xAI Grok and research labs: > xAI has ALOT of compute concentrated > ALOT of great researchers > 200K GPUs already running > purchased a new factory in memphis > building out a new data center > now they are buying a power plant and shipping it from overseas because you can’t get a new one in time in the US > Grok models are good > elon is hyping up next model > maybe it’ll be great / good > will it be openai level? or slightly behind? > we’ll see > he uses grok for current events > grok knows exactly what’s happening way better than google search, gemini or openai > every research lab is generally doing the same thing > even SSI

NIK

293,568 görüntüleme • 1 yıl önce

Chris Camillo explains how Bloom Energy is solving AI data center energy usage problems… “ $BE is one of the only companies in the world that has a method to essentially bring almost an infinite amount of energy to these data centers." And we won't get into all the technology, but they are now working with hyperscalers and they are a resource for energy that will allow a data center to get ramped up quicker. "So, even though it costs a little bit more money today to put an energy cell from Bloom, an energy box from Bloom, which are energy cells, it essentially takes things like natural gas, but instead of burning the natural gas, there is a chemical process that turns that natural gas into energy for the data center."
1:27

Chris Camillo explains how Bloom Energy is solving AI data center energy usage problems… “ $BE is one of the only companies in the world that has a method to essentially bring almost an infinite amount of energy to these data centers." And we won't get into all the technology, but they are now working with hyperscalers and they are a resource for energy that will allow a data center to get ramped up quicker. "So, even though it costs a little bit more money today to put an energy cell from Bloom, an energy box from Bloom, which are energy cells, it essentially takes things like natural gas, but instead of burning the natural gas, there is a chemical process that turns that natural gas into energy for the data center."

The Iced Coffee Hour

274,893 görüntüleme • 2 ay önce

Elon Musk explaining why we’ll need solar-powered AI satellites in space within the next five years. Not because it sounds futuristic, but because Earth simply can’t generate the energy needed for what’s coming. AI alone could require 300 gigawatts of power every year To put that into perspective, that’s almost two-thirds of the entire U.S. electricity output, just for AI. And scaling up to a terawatt per year? That’s beyond what Earth’s grids and infrastructure can handle. Space is the only place with the endless power supply AI will demand.
0:51

Elon Musk explaining why we’ll need solar-powered AI satellites in space within the next five years. Not because it sounds futuristic, but because Earth simply can’t generate the energy needed for what’s coming. AI alone could require 300 gigawatts of power every year To put that into perspective, that’s almost two-thirds of the entire U.S. electricity output, just for AI. And scaling up to a terawatt per year? That’s beyond what Earth’s grids and infrastructure can handle. Space is the only place with the endless power supply AI will demand.

SMX 🇺🇸

33,351 görüntüleme • 7 ay önce

My startup, Positron AI just raised $51.6M Series A to rebuild the infrastructure powering AI inference and bring Superintelligence to everyone. Led by Valor Equity Partners (@valorep) , Atreides Management (Atreides Management, LP) , and DFJ Growth (DFJ Growth) —the same teams behind SpaceX, Tesla, xAI, and other companies pushing compute to its physical and economic limits. Why inference? Because as AI moves from research into production, the real bottleneck isn’t training—it’s deploying transformer models at scale. GPUs were built for flexibility, not predictable workloads. That mismatch means wasted bandwidth, poor density, and massive power costs. So at Positron, we built silicon specifically optimized for inference: •>90% memory bandwidth utilization (GPUs typically ~30%) •Multi-model hosting per card (higher density, lower power) •Zero code changes — drop in compatability with the HuggingFace Transformers ecosystem. U.S.-made silicon, stable supply chain, geopolitically resilient We’re already shipping and running in production environments today. Here’s what we’ve built, and link to our WSJ coverage and press release in the follow up reply ↓
6:20

My startup, Positron AI just raised $51.6M Series A to rebuild the infrastructure powering AI inference and bring Superintelligence to everyone. Led by Valor Equity Partners (@valorep) , Atreides Management (Atreides Management, LP) , and DFJ Growth (DFJ Growth) —the same teams behind SpaceX, Tesla, xAI, and other companies pushing compute to its physical and economic limits. Why inference? Because as AI moves from research into production, the real bottleneck isn’t training—it’s deploying transformer models at scale. GPUs were built for flexibility, not predictable workloads. That mismatch means wasted bandwidth, poor density, and massive power costs. So at Positron, we built silicon specifically optimized for inference: •>90% memory bandwidth utilization (GPUs typically ~30%) •Multi-model hosting per card (higher density, lower power) •Zero code changes — drop in compatability with the HuggingFace Transformers ecosystem. U.S.-made silicon, stable supply chain, geopolitically resilient We’re already shipping and running in production environments today. Here’s what we’ve built, and link to our WSJ coverage and press release in the follow up reply ↓

Thomas Sohmers

26,324 görüntüleme • 11 ay önce

THIS AI DEVELOPER RUNS 120B PARAMETER MODELS LOCALLY AND HIS MACBOOK PRO CAN’T EVEN OPEN THEM he bought a DGX Spark, gave it the model, went back to his desk by end of day the inference was done, tested, committed his team is still waiting for the cloud GPU queue to free up the only thing between them is 128GB of unified memory in a box smaller than your lunch one Spark is a datacenter node, two Sparks is your own cluster bookmark this and send it to whoever is still paying for cloud GPUs
2:54

THIS AI DEVELOPER RUNS 120B PARAMETER MODELS LOCALLY AND HIS MACBOOK PRO CAN’T EVEN OPEN THEM he bought a DGX Spark, gave it the model, went back to his desk by end of day the inference was done, tested, committed his team is still waiting for the cloud GPU queue to free up the only thing between them is 128GB of unified memory in a box smaller than your lunch one Spark is a datacenter node, two Sparks is your own cluster bookmark this and send it to whoever is still paying for cloud GPUs

leopardracer

85,470 görüntüleme • 1 ay önce