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🚨NVIDIA UNVEILS 72-GPU SUPERCHIP SET TO REVOLUTIONIZE AI Jensen Huang introduced the GB200 NVL72, a data center powerhouse packing 72 Blackwell GPUs, 1.4 exaFLOPS of compute, and 130 trillion transistors. This "superchip" enables test-time scaling, a groundbreaking approach that lets AI reason in real time, mimicking human thought. Huang... show more

Mario Nawfal

2,254,723 subscribers

300,346 次观看 • 1 年前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

11 条评论

Major 的头像

Major1 年前

Can I use it to mine bitcoin?

NetMind.AI 的头像

NetMind.AI2 年前

Get access to a wide range of GPUs like H100, A100, 4090, 3090 and save over 90% at NetMind Power. Rent Now!

Walker Seattle Ranger 的头像

Walker Seattle Ranger1 年前

Does it run Roblox?

N Hanh 的头像

N Hanh1 年前

you are scammer

NathGraty🕯️ 的头像

NathGraty🕯️1 年前

Don't think, just $Stupid and chill CA: 4zUDFduzd6dWisjkrS7d7VSEw3EdrV3t7KkYPznZpump

Sweden4Trump 的头像

Sweden4Trump1 年前

wonder if good to start inverst nvidia shares

Artur 的头像

Artur1 年前

Moore’s Law isn’t dead .. it just planned to moved into a really big house

Mazzagatti 的头像

Mazzagatti1 年前

Bros got a captain America shield with 72 4090’s on it

Kacee Allen 的头像

Kacee Allen1 年前

AI is going to be a major boost for all economies.

AI IA 的头像

AI IA1 年前

Y’all don’t know

Liberty Watch 的头像

Liberty Watch1 年前

Wild stuff

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Open models are accelerating development and deployment across agentic AI, physical AI, and a growing range of industries. ✨ “We have billions of dollars of supercomputers in operation, so we can develop our open models,” said NVIDIA CEO Jensen Huang in a recent keynote. “That work is starting to attract attention across industries worldwide, as we build frontier AI models in many different domains.” This includes leading open models from NVIDIA, including: ⚙️ NVIDIA Nemotron for agentic AI ⚙️ NVIDIA Cosmos and GR00T for physical AI ⚙️ NVIDIA Alpamayo for autonomous vehicles ⚙️ NVIDIA Clara for biomedical AI Learn more about open source and AI ➡️

Open models are accelerating development and deployment across agentic AI, physical AI, and a growing range of industries. ✨ “We have billions of dollars of supercomputers in operation, so we can develop our open models,” said NVIDIA CEO Jensen Huang in a recent keynote. “That work is starting to attract attention across industries worldwide, as we build frontier AI models in many different domains.” This includes leading open models from NVIDIA, including: ⚙️ NVIDIA Nemotron for agentic AI ⚙️ NVIDIA Cosmos and GR00T for physical AI ⚙️ NVIDIA Alpamayo for autonomous vehicles ⚙️ NVIDIA Clara for biomedical AI Learn more about open source and AI ➡️

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"This is the time you want to be first!" 👏👏👏 Jensen Huang, CEO of NVIDIA, joins Michael Dell 🇺🇸 for a #DellTechWorld conversation, emphasizing the importance of early adoption in the age of AI innovation. Take hold of your AI opportunity now – read about the Dell AI Factory with NVIDIA:

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Student to Rahul Gandhi : How the education system should change in response to the rise of Artificial Intelligence ?? Rahul Gandhi : AI means Production and Manufacturing.🤡 Meanwhile, the CEO of NVIDIA applauding Modi jis foresight in requesting him to address his cabinet about AI, in 2020. (The CEO of NVIDIA is Jensen Huang. He is the founder, president, and chief executive officer of the American technology company NVIDIA Corporation, a leading maker of graphics processing units (GPUs) and AI computing hardware.)

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Physical AI is the biggest opportunity most people are sleepwalking past. "Physical AI is a $50 trillion market." - Jensen at The All-In Podcast Robots. Autonomous vehicles. Embodied AI. The infrastructure to power all of it. Nvidia isn't just selling GPUs anymore. They're building the OS for the physical AI era.

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Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations. NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze real-time data streams from connected sensors over 5G to power live monitoring and infrastructure inspection. ▶️ Watch the full video to learn more:

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The real story behind NVIDIA CEO Jensen Huang is not overnight success. He spent decades betting on a revolutionary way to compute that few believed in, building today’s lead in AI and accelerated computing. In this CNBC segment, “The Thinking Machine” author Stephen Witt captures how long-term vision, grit, and relentless engineering at NVIDIA built the foundation for today’s AI era.

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NVIDIA CEO Jensen Huang says one scaling law multiplies AI faster than NVIDIA can hire engineers. Most people know three AI scaling laws. Pre-training. Post-training. Test-time. Each one multiplies intelligence by throwing more compute at a different stage. Jensen Huang says there's a fourth and it's the one that will dominate... Agentic scaling law. "During test time, that agentic system goes off and does research, bangs on databases, uses tools," Huang says. "And one of the most important things it does is spawn off a whole bunch of sub-agents." That's the multiplier. One AI worker can become a team. Then a department. Then a company. "It's so much easier to scale NVIDIA by hiring more employees than it is to scale myself," Huang says. Now imagine scaling without a payroll constraint. "The agentic scaling law — it's kind of like multiplying AI," Huang says. "We could spin off agents as fast as you want to spin off agents." Each agent spins off sub-agents. Each sub-agent spins off more. The compute requirement compounds inside a single query. And every agent generates new data, new experiences, new edge cases. "Wow, this is really good. We ought to memorize this," Huang says. "That data set comes back to pre-training." The four scaling laws don't compete. They feed each other. Agentic systems produce data, which feeds pre-training, which smartens the base model, which enables better agents, which produce more data. A flywheel that compounds forever. The companies pricing in three scaling laws are mispricing the fourth. The fourth eats the other three for lunch. P.S. Pull the thread on any story like this and you'll find the hidden incentive at the other end. As Munger said: "Show me the incentive and I'll show you the outcome." So I wrote a short book on how to spot them and design your own. Comment "INCENTIVES" and I'll send you the details. If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

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Nvidia said the revenue opportunity for its AI chips may reach at least $1 trillion through 2027, as the company outlined a strategy to compete more aggressively in the fast-growing market for running AI systems in real time

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42,530 次观看 • 4 个月前

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🇸🇦 SAUDI ARABIA GOES SUPERCOMPUTER: NVIDIA DEAL TO BUILD AI MEGASCALE Saudi Arabia partnership with Nvidia to build one of the world’s largest AI infrastructures is a monumental step in the proliferation of Artificial Intelligence. The Kingdom will deploy 18,000 Nvidia GB300 superchips in Phase 1, aiming for 500 megawatts of compute power within five years. This move will undoubtedly position Saudi Arabia as a regional AI hub amid a global race for computing supremacy. It will support sovereign AI models and digital twin simulations across industries. As Vision 2030 shifts the Kingdom beyond oil, AI is now its new strategic resource—and it's going all in. Source: AI Magazine

Mario Nawfal

188,830 次观看 • 1 年前

Jensen Huang just doubled NVIDIA's demand forecast to $1 Trillion through 2027 🤯 Then spent two hours explaining why that number is conservative… Here's everything today from GTC: - NemoClaw: NVIDIA's open-source enterprise AI agent stack built around OpenClaw. Jensen called OpenClaw "the operating system for personal AI" and said every company needs a strategy for it. - Space-1: NVIDIA is putting Vera Rubin data centers in orbit. Not a concept. An actual system being designed for space deployment right now. - DLSS 5: 3D-guided neural rendering that blends raw graphics with generative AI. Jensen called it the future of real-time rendering. - AWS: Deploying 1 million+ NVIDIA GPUs starting this year. Azure was the first hyperscaler to power up Vera Rubin. - Vera Rubin: NVIDIA's next-gen AI supercomputer. 10x more performance per watt than Blackwell, 700 million tokens per second, shipping later this year. - Groq 3 LPU: First chip from NVIDIA's $20B Groq acquisition. A purpose-built inference accelerator that ships Q3. NVIDIA now owns training AND inference. -Feynman: The architecture after Rubin, coming 2028. New GPU, new LPU, new CPU. NVIDIA is on a 12-month chip cadence and the treadmill never stops. - Autonomous driving: BYD, Hyundai, Nissan, and Geely building Level 4 vehicles on NVIDIA. Uber deploying NVIDIA-powered robotaxis across 28 cities by 2028. The man doubled his demand forecast to a trillion dollars, announced data centers in space, and closed the show with a robot singing country music. This is NVIDIA's world. Everyone else is just renting compute in it.

Jensen Huang just doubled NVIDIA's demand forecast to $1 Trillion through 2027 🤯 Then spent two hours explaining why that number is conservative… Here's everything today from GTC: - NemoClaw: NVIDIA's open-source enterprise AI agent stack built around OpenClaw. Jensen called OpenClaw "the operating system for personal AI" and said every company needs a strategy for it. - Space-1: NVIDIA is putting Vera Rubin data centers in orbit. Not a concept. An actual system being designed for space deployment right now. - DLSS 5: 3D-guided neural rendering that blends raw graphics with generative AI. Jensen called it the future of real-time rendering. - AWS: Deploying 1 million+ NVIDIA GPUs starting this year. Azure was the first hyperscaler to power up Vera Rubin. - Vera Rubin: NVIDIA's next-gen AI supercomputer. 10x more performance per watt than Blackwell, 700 million tokens per second, shipping later this year. - Groq 3 LPU: First chip from NVIDIA's $20B Groq acquisition. A purpose-built inference accelerator that ships Q3. NVIDIA now owns training AND inference. -Feynman: The architecture after Rubin, coming 2028. New GPU, new LPU, new CPU. NVIDIA is on a 12-month chip cadence and the treadmill never stops. - Autonomous driving: BYD, Hyundai, Nissan, and Geely building Level 4 vehicles on NVIDIA. Uber deploying NVIDIA-powered robotaxis across 28 cities by 2028. The man doubled his demand forecast to a trillion dollars, announced data centers in space, and closed the show with a robot singing country music. This is NVIDIA's world. Everyone else is just renting compute in it.

Josh Kale

45,875 次观看 • 4 个月前

Last night, Jensen Huang of NVIDIA gave his very first live keynote in 4-years. The most show-stopping moment from the event was when he showed off the real-time AI in video games. A human speaks, the NPC responds, in real time and the dialogue was generated with AI on the fly.

Last night, Jensen Huang of NVIDIA gave his very first live keynote in 4-years. The most show-stopping moment from the event was when he showed off the real-time AI in video games. A human speaks, the NPC responds, in real time and the dialogue was generated with AI on the fly.

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5,387,233 次观看 • 3 年前

Jensen Huang plays out what would happen if every company augmented their employees with AI the way that NVIDIA does: "Human intelligence represents 55% - 65% of the world's GDP. Let's call it $50 trillion. Suppose I were to hire a $100,000 employee and I augmented that $100,000 employee with a $10,000 AI. And that $10,000 AI, as a result, made the $100,000 employee 2x more productive, 3x more productive.. Would I do it? Heartbeat. I'm doing it across every single person in our company right now. ...Now, apply the NVIDIA story to the world's GDP. What's likely to happen is that that $50 trillion is augmented by, let's pick a number, $10 trillion, that $10 trillion needs to run on a machine." — Jensen Huang with Brad Gerstner, Clark Tang (and a special appearance by Dr. Parik Patel, BA, CFA, ACCA Esq.)

Jensen Huang plays out what would happen if every company augmented their employees with AI the way that NVIDIA does: "Human intelligence represents 55% - 65% of the world's GDP. Let's call it $50 trillion. Suppose I were to hire a $100,000 employee and I augmented that $100,000 employee with a $10,000 AI. And that $10,000 AI, as a result, made the $100,000 employee 2x more productive, 3x more productive.. Would I do it? Heartbeat. I'm doing it across every single person in our company right now. ...Now, apply the NVIDIA story to the world's GDP. What's likely to happen is that that $50 trillion is augmented by, let's pick a number, $10 trillion, that $10 trillion needs to run on a machine." — Jensen Huang with Brad Gerstner, Clark Tang (and a special appearance by Dr. Parik Patel, BA, CFA, ACCA Esq.)

bg2clips

11,603 次观看 • 9 个月前

🚨 🇰🇷 Jensen Huang hints at deeper NVIDIA-LG collaboration in robotics and AI data centers NVIDIA CEO Jensen Huang visited LG Twin Towers on June 8 and emphasized the company’s growing partnership with LG after meeting with LG Chairman Koo Kwang-mo and other executives. Huang said LG is a world-class company across many important future technologies and noted that NVIDIA and LG are working together on many areas. He highlighted robotics as one of the most important fields, describing it as the fusion of electronics, mechanical systems, and artificial intelligence. He said NVIDIA is working with LG on motor technology and mechanical systems, which could support future humanoid robotics. Huang also pointed to next-generation data centers, saying future facilities will scale to gigawatt levels and require advanced cooling, power, and infrastructure technologies. He added that there will be “many more announcements” in the near future, suggesting NVIDIA and LG’s cooperation in AI, robotics, and data centers could become more concrete soon.

🚨 🇰🇷 Jensen Huang hints at deeper NVIDIA-LG collaboration in robotics and AI data centers NVIDIA CEO Jensen Huang visited LG Twin Towers on June 8 and emphasized the company’s growing partnership with LG after meeting with LG Chairman Koo Kwang-mo and other executives. Huang said LG is a world-class company across many important future technologies and noted that NVIDIA and LG are working together on many areas. He highlighted robotics as one of the most important fields, describing it as the fusion of electronics, mechanical systems, and artificial intelligence. He said NVIDIA is working with LG on motor technology and mechanical systems, which could support future humanoid robotics. Huang also pointed to next-generation data centers, saying future facilities will scale to gigawatt levels and require advanced cooling, power, and infrastructure technologies. He added that there will be “many more announcements” in the near future, suggesting NVIDIA and LG’s cooperation in AI, robotics, and data centers could become more concrete soon.

TeslaZoa

35,216 次观看 • 1 个月前

As Larry Ellison explains, there are two types of AI models: real-time models, also called AI on the edge, where you need ultra-low latency decisions (think autonomous driving or robotics), and models that don’t need an immediate response, like ChatGPT, where the system has time to reason. Real-time models require local compute inside the device, and these chips have nothing to do with the GPUs running in data centers. The AI-on-the-edge market is still largely untapped — and it’s going to be a multi-trillion-dollar opportunity. I believe $AMD will be one of the biggest beneficiaries

As Larry Ellison explains, there are two types of AI models: real-time models, also called AI on the edge, where you need ultra-low latency decisions (think autonomous driving or robotics), and models that don’t need an immediate response, like ChatGPT, where the system has time to reason. Real-time models require local compute inside the device, and these chips have nothing to do with the GPUs running in data centers. The AI-on-the-edge market is still largely untapped — and it’s going to be a multi-trillion-dollar opportunity. I believe $AMD will be one of the biggest beneficiaries

Daniel

151,698 次观看 • 7 个月前