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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...

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Mario Nawfal

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300,346 görüntüleme • 1 yıl önce •via X (Twitter)

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Major profil fotoğrafı
Major1 yıl önce

Can I use it to mine bitcoin?

NetMind.AI profil fotoğrafı
NetMind.AI2 yıl önce

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 profil fotoğrafı
Walker Seattle Ranger1 yıl önce

Does it run Roblox?

N Hanh profil fotoğrafı
N Hanh1 yıl önce

you are scammer

NathGraty🕯️ profil fotoğrafı
NathGraty🕯️1 yıl önce

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

Sweden4Trump profil fotoğrafı
Sweden4Trump1 yıl önce

wonder if good to start inverst nvidia shares

Artur profil fotoğrafı
Artur1 yıl önce

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

Mazzagatti profil fotoğrafı
Mazzagatti1 yıl önce

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

Kacee Allen profil fotoğrafı
Kacee Allen1 yıl önce

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

AI IA profil fotoğrafı
AI IA1 yıl önce

Y’all don’t know

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Wild stuff

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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.
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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.

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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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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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🚨 🇰🇷 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.
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🚨 🇰🇷 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

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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.)
2:10

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

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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
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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

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