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AI is not one model. It is a five layer industrial stack: energy, chips and systems, infrastructure software, models, and applications. When America leads across that stack, we lead the next wave of growth.

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NVIDIA Newsroom

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13,522 просмотров • 7 месяцев назад •via X (Twitter)

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The AI economy is not just software. It is energy. Chips. Infrastructure. Models. Applications. And every layer needs people to build it. At NVIDIA’s Five-Layer AI event, co-founder Chris Malachowsky, former secretary of commerce Gina Raimondo and Mike Rowe discussed why the future of AI means opportunity for workers across the entire stack.
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The AI economy is not just software. It is energy. Chips. Infrastructure. Models. Applications. And every layer needs people to build it. At NVIDIA’s Five-Layer AI event, co-founder Chris Malachowsky, former secretary of commerce Gina Raimondo and Mike Rowe discussed why the future of AI means opportunity for workers across the entire stack.

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Jensen Huang explains the AI industry as a five layer cake, and why "model only" companies are missing the real map. "AI is not just a model. AI is really a five layer cake to think about it." "From the lowest level, it requires energy because AI is produced, generated in real time, just like you and I right now. We need calories, we need energy." "The next level is chips. This is where Nvidia is and where a lot of the companies in Taiwan are." "The layer above that is infrastructure: land, power, data center, as well as the cloud service software that turns the chips into a cloud service." "The layer above that is where most people think about when they think about AI, which is models. ChatGPT was revolutionary. Claude Code is now incredibly successful. But AI is much more than just human language." Most people are still debating the model layer. Jensen is describing an industrial stack: energy, chips, infrastructure, models, and applications. If you are building in AI, this is the map that matters. The winning product may look like software, but the bottlenecks are calories, land, power, data centers, chips, and distribution. - Jensen Huang (NVIDIA), CEO of Nvidia, on CNA
1:48

Jensen Huang explains the AI industry as a five layer cake, and why "model only" companies are missing the real map. "AI is not just a model. AI is really a five layer cake to think about it." "From the lowest level, it requires energy because AI is produced, generated in real time, just like you and I right now. We need calories, we need energy." "The next level is chips. This is where Nvidia is and where a lot of the companies in Taiwan are." "The layer above that is infrastructure: land, power, data center, as well as the cloud service software that turns the chips into a cloud service." "The layer above that is where most people think about when they think about AI, which is models. ChatGPT was revolutionary. Claude Code is now incredibly successful. But AI is much more than just human language." Most people are still debating the model layer. Jensen is describing an industrial stack: energy, chips, infrastructure, models, and applications. If you are building in AI, this is the map that matters. The winning product may look like software, but the bottlenecks are calories, land, power, data centers, chips, and distribution. - Jensen Huang (NVIDIA), CEO of Nvidia, on CNA

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NVIDIA CEO Jensen Huang explains the architecture of the AI revolution AI is fundamentally about thinking—and that requires supercomputers. We’ve created a new industry: AI infrastructure. It will be as foundational as the electricity and internet infrastructures—permanent for every society. This is a transformative time; how we deliver and produce intelligence is changing. Each layer of the AI stack is growing: 1. Energy 2. Chips 3. Infrastructure 4. AI models 5. AI applications We’re witnessing a complete revolution across the stack, with opportunities at every layer. NVIDIA intends to participate across the entire stack.
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NVIDIA CEO Jensen Huang explains the architecture of the AI revolution AI is fundamentally about thinking—and that requires supercomputers. We’ve created a new industry: AI infrastructure. It will be as foundational as the electricity and internet infrastructures—permanent for every society. This is a transformative time; how we deliver and produce intelligence is changing. Each layer of the AI stack is growing: 1. Energy 2. Chips 3. Infrastructure 4. AI models 5. AI applications We’re witnessing a complete revolution across the stack, with opportunities at every layer. NVIDIA intends to participate across the entire stack.

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Bharat is investing across the full AI value chain! ➡️From applications & models to semiconductor chips, data centres, and energy - every layer of the AI stack is being strengthened. 📍Rajasthan Regional AI Impact Conference 2026
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Bharat is investing across the full AI value chain! ➡️From applications & models to semiconductor chips, data centres, and energy - every layer of the AI stack is being strengthened. 📍Rajasthan Regional AI Impact Conference 2026

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At RAISE Summit in Paris, one theme stood out: every layer of the AI stack is up for grabs. Startups are challenging incumbents in chips, cloud infrastructure, data centers, and foundation models alike.
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At RAISE Summit in Paris, one theme stood out: every layer of the AI stack is up for grabs. Startups are challenging incumbents in chips, cloud infrastructure, data centers, and foundation models alike.

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We are innovating the full-stack AI infrastructure platform on a one-year rhythm — pushing the boundaries of inference performance across chips, systems, and software. NVIDIA Blackwell is the most advanced AI platform ever built — continuously optimized for record-breaking performance. Groundbreaking advancements include the NVIDIA-designed NVFP4 format, enabling high inference performance and accuracy. #GTCParis at #VivaTech
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We are innovating the full-stack AI infrastructure platform on a one-year rhythm — pushing the boundaries of inference performance across chips, systems, and software. NVIDIA Blackwell is the most advanced AI platform ever built — continuously optimized for record-breaking performance. Groundbreaking advancements include the NVIDIA-designed NVFP4 format, enabling high inference performance and accuracy. #GTCParis at #VivaTech

NVIDIA

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Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.
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Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

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How to invest across every layer of $NVDA CEO Jensen Huang’s five-layer cake: • Layer 1 Energy (The Fuel): $CEG, $VST • Layer 2 Chips (The Engine): $TSM, $MU • Layer 3 Infrastructure (The Factory): $NBIS, $VRT • Layer 4 Models (The Intelligence): $GOOGL, $META • Layer 5 Applications (Where Value Is Proven): $PLTR, $NET
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How to invest across every layer of $NVDA CEO Jensen Huang’s five-layer cake: • Layer 1 Energy (The Fuel): $CEG, $VST • Layer 2 Chips (The Engine): $TSM, $MU • Layer 3 Infrastructure (The Factory): $NBIS, $VRT • Layer 4 Models (The Intelligence): $GOOGL, $META • Layer 5 Applications (Where Value Is Proven): $PLTR, $NET

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Nvidia CEO Jensen Huang breaks the myth: The US–China AI competition isn’t about one chip or one model, it’s a five-layer ecosystem. Energy, chips, infrastructure, models, applications. And on four of them, China is already ahead or catching up faster than sanctions can stop. When America bans, China builds. When export controls tighten, China accelerates. You don’t slow a rival by locking the gate, you only teach them how to build their own house.
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Nvidia CEO Jensen Huang breaks the myth: The US–China AI competition isn’t about one chip or one model, it’s a five-layer ecosystem. Energy, chips, infrastructure, models, applications. And on four of them, China is already ahead or catching up faster than sanctions can stop. When America bans, China builds. When export controls tighten, China accelerates. You don’t slow a rival by locking the gate, you only teach them how to build their own house.

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AI investment is expanding beyond models and applications into the full stack that supports them. Energy capacity, semiconductor supply, compute infrastructure, and software layers are becoming more connected, influencing how and where AI can be built and deployed. In partnership with NVIDIA, The Futurum Group examines the Five Layers of the AI Cake framework as a way to understand the structure of the AI economy. The market brief outlines how value is distributed across the stack, where bottlenecks are forming, and what these dynamics mean for enterprise strategy, capital allocation, workforce planning, and global competitiveness. ⏯️ Explore the key findings, and use the link to download the full report: 👉 #AIInfrastructure #NVIDIA #Futurum
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AI investment is expanding beyond models and applications into the full stack that supports them. Energy capacity, semiconductor supply, compute infrastructure, and software layers are becoming more connected, influencing how and where AI can be built and deployed. In partnership with NVIDIA, The Futurum Group examines the Five Layers of the AI Cake framework as a way to understand the structure of the AI economy. The market brief outlines how value is distributed across the stack, where bottlenecks are forming, and what these dynamics mean for enterprise strategy, capital allocation, workforce planning, and global competitiveness. ⏯️ Explore the key findings, and use the link to download the full report: 👉 #AIInfrastructure #NVIDIA #Futurum

The Futurum Group

75,859 просмотров • 2 месяцев назад

We think #GenAI will transform virtually every customer experience. That’s why we’re doubling down on all three layers of what’s called the GenAI “stack.” What do we mean by stack? Simple. Three layers, bottom to top. The “bottom layer” means the infrastructure. Think chips, servers, networking – the software, hardware, and computing power in our data centers used to train, build, and deploy AI models and applications. The “middle layer” is the GenAI sandbox – all the tools, Large Language Models (LLMs), and Foundation Models (FMs) we’ve built into Amazon Bedrock. This lets customers pick the #AI models that best fit their needs to easily and securely customize GenAI applications specific to their business. The “top layer” means the popular agents and assistants that people actually interact with – now including Amazon Q. These are built from the models in the middle layer – in Amazon Bedrock. While other apps might help you write a quick email, or edit an image, Amazon Q’s meant for taking care of business. It’s been engineered to be the most capable GenAI-powered assistant for speeding up software dev and leveraging companies’ internal data. Are you as bullish on the future of GenAI as we are? Listen to our CEO Andy Jassy talk about our investment across the stack.
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We think #GenAI will transform virtually every customer experience. That’s why we’re doubling down on all three layers of what’s called the GenAI “stack.” What do we mean by stack? Simple. Three layers, bottom to top. The “bottom layer” means the infrastructure. Think chips, servers, networking – the software, hardware, and computing power in our data centers used to train, build, and deploy AI models and applications. The “middle layer” is the GenAI sandbox – all the tools, Large Language Models (LLMs), and Foundation Models (FMs) we’ve built into Amazon Bedrock. This lets customers pick the #AI models that best fit their needs to easily and securely customize GenAI applications specific to their business. The “top layer” means the popular agents and assistants that people actually interact with – now including Amazon Q. These are built from the models in the middle layer – in Amazon Bedrock. While other apps might help you write a quick email, or edit an image, Amazon Q’s meant for taking care of business. It’s been engineered to be the most capable GenAI-powered assistant for speeding up software dev and leveraging companies’ internal data. Are you as bullish on the future of GenAI as we are? Listen to our CEO Andy Jassy talk about our investment across the stack.

Amazon

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The reason $META is a winner in the AI economy is that it can embed AI directly into products already used by billions of consumers and millions of businesses. This lets them turn model improvements into better ads, WhatsApp agents, AI glasses, recommendation systems and creative tools almost immediately. Those products may look separate but they all run on same infrastructure, models, proprietary data and distribution creating a shared AI stack that can compound across multiple revenue streams.
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🚨🇨🇳 China unveils its first full-stack green AI computing platform The platform was launched in the city of Hohhot in north China's Inner Mongolia Autonomous Region, CCTV reports 🔸The goal is to unify computing resources, cut costs, and accelerate nationwide AI adoption through low-carbon infrastructure 🔸The platform is fully compatible with domestically produced chips and mainstream computing architectures 🔸Connects over 10 leading models from major telecom operators and tech firms This signals a major push toward scalable, energy-efficient national AI infrastructure built to support the next wave of model deployment and AI-driven services

Sputnik

19,070 просмотров • 1 месяц назад

Jensen Huang told a room of global investors that AI is not one industry. It is five stacked on top of each other. Most people are investing in layer four and ignoring layers one through three entirely. He called it the five-layer cake. Layer one is energy. Jensen said this is the single greatest opportunity for the energy industry in a hundred years. The first time in a century that the grid in most countries can actually attract serious capital. Nuclear, solar, wind, hydrogen, it does not matter what form. If it produces energy, it gets funded. Siemens, GE Vernova, Mitsubishi. That is why they are all doing so well right now. Layer two is chips, computers, networking, and silicon photonics. Everything that processes the intelligence. Layer three is infrastructure. Land, power, buildings, data center operations. Every single one in short supply today. Layer four is the model layer. OpenAI, Anthropic. The layer everyone talks about. Layer five is applications. Every startup applying AI to financial services, legal, healthcare, logistics, transportation. Last year alone, a hundred billion dollars of venture capital went into this layer. The single largest VC year in the history of humanity. Then he said the number that stopped me cold. We are putting one trillion dollars into this five-layer cake this year. That sounds enormous. Jensen thinks the AI industry will eventually run at twenty trillion dollars per year. We are one trillion in of a twenty trillion dollar per year ecosystem. Most people watching AI are staring at layer four. Jensen was describing layers one through five as a single compounding system where every layer feeds the one above it. The people who understand that will invest differently than the people who do not.
4:50

Jensen Huang told a room of global investors that AI is not one industry. It is five stacked on top of each other. Most people are investing in layer four and ignoring layers one through three entirely. He called it the five-layer cake. Layer one is energy. Jensen said this is the single greatest opportunity for the energy industry in a hundred years. The first time in a century that the grid in most countries can actually attract serious capital. Nuclear, solar, wind, hydrogen, it does not matter what form. If it produces energy, it gets funded. Siemens, GE Vernova, Mitsubishi. That is why they are all doing so well right now. Layer two is chips, computers, networking, and silicon photonics. Everything that processes the intelligence. Layer three is infrastructure. Land, power, buildings, data center operations. Every single one in short supply today. Layer four is the model layer. OpenAI, Anthropic. The layer everyone talks about. Layer five is applications. Every startup applying AI to financial services, legal, healthcare, logistics, transportation. Last year alone, a hundred billion dollars of venture capital went into this layer. The single largest VC year in the history of humanity. Then he said the number that stopped me cold. We are putting one trillion dollars into this five-layer cake this year. That sounds enormous. Jensen thinks the AI industry will eventually run at twenty trillion dollars per year. We are one trillion in of a twenty trillion dollar per year ecosystem. Most people watching AI are staring at layer four. Jensen was describing layers one through five as a single compounding system where every layer feeds the one above it. The people who understand that will invest differently than the people who do not.

Ihtesham Ali

97,514 просмотров • 1 месяц назад

Infrastructure defines what scales. Electricity enabled industry. The internet enabled software. Now AI is moving toward systems that run continuously, across data, execution, and feedback. 💡At OptimAI, we’re building that infrastructure. A decentralized search layer for real-time data. A network of nodes powering continuous retrieval and validation. Agents that execute tasks directly on your device. This is not theoretical - we’re already seeing it in production, with millions of nodes and growing usage across the network. We’re putting together a short documentary to show how this shift is happening, and where it leads next. If you’re building, exploring, or just getting started - this is the layer to pay attention to. Welcome to OptimAI.
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Infrastructure defines what scales. Electricity enabled industry. The internet enabled software. Now AI is moving toward systems that run continuously, across data, execution, and feedback. 💡At OptimAI, we’re building that infrastructure. A decentralized search layer for real-time data. A network of nodes powering continuous retrieval and validation. Agents that execute tasks directly on your device. This is not theoretical - we’re already seeing it in production, with millions of nodes and growing usage across the network. We’re putting together a short documentary to show how this shift is happening, and where it leads next. If you’re building, exploring, or just getting started - this is the layer to pay attention to. Welcome to OptimAI.

OptimAI Network

17,439 просмотров • 3 месяцев назад

NeurochainAI is the all-in-one platform for developers to build AI dApps including GPU DePIN, Data Layer, and AI model layer. But what does it actually mean? AI is a $1.8 trillion industry, and NeurochainAI is tapping into 1% of that - as an infrastructure of interconnected GPUs, AI models, and data. Even simpler? Think of us as Ethereum for AI🧠🌐
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NeurochainAI is the all-in-one platform for developers to build AI dApps including GPU DePIN, Data Layer, and AI model layer. But what does it actually mean? AI is a $1.8 trillion industry, and NeurochainAI is tapping into 1% of that - as an infrastructure of interconnected GPUs, AI models, and data. Even simpler? Think of us as Ethereum for AI🧠🌐

Neurochain.AI

105,340 просмотров • 2 лет назад

Jensen Huang just told the smartest founders in AI they’re building a commodity. Not a platform. Not a moat. A commodity. Huang: “AI is actually essentially a five-layer cake.” Energy. Chips. Cloud. Models. Applications. Five layers. The entire industry is crowded onto one. Huang: “This is where most people think AI is.” The model layer. Most money. Most talent. Most competition. Most competition always ends the same way. A commodity. The harder they compete, the faster they erase their own value. That’s not a failure of strategy. That’s the strategy working. Huang: “At the bottom is energy.” No algorithm solves a power grid. No fundraise builds a dam. For decades everyone assumed intelligence would be the scarce resource. AI proved the opposite. Intelligence scales. Energy doesn’t. The bottleneck was never thinking. It was always power. Huang: “This layer on top ultimately is where economic benefit will happen.” The top captures revenue. The bottom controls access. The middle converts one into the other. Hundreds of billions deployed between someone else’s power grid and someone else’s economy. Most funded layer in history. Least defensible layer in the stack. The most intelligent thing ever built sits in the one position where intelligence doesn’t matter.
1:00

Jensen Huang just told the smartest founders in AI they’re building a commodity. Not a platform. Not a moat. A commodity. Huang: “AI is actually essentially a five-layer cake.” Energy. Chips. Cloud. Models. Applications. Five layers. The entire industry is crowded onto one. Huang: “This is where most people think AI is.” The model layer. Most money. Most talent. Most competition. Most competition always ends the same way. A commodity. The harder they compete, the faster they erase their own value. That’s not a failure of strategy. That’s the strategy working. Huang: “At the bottom is energy.” No algorithm solves a power grid. No fundraise builds a dam. For decades everyone assumed intelligence would be the scarce resource. AI proved the opposite. Intelligence scales. Energy doesn’t. The bottleneck was never thinking. It was always power. Huang: “This layer on top ultimately is where economic benefit will happen.” The top captures revenue. The bottom controls access. The middle converts one into the other. Hundreds of billions deployed between someone else’s power grid and someone else’s economy. Most funded layer in history. Least defensible layer in the stack. The most intelligent thing ever built sits in the one position where intelligence doesn’t matter.

Dustin

20,614 просмотров • 5 дней назад

"We want to make sure that the US is the partner of choice for the AI stack." "We have the best chips in the world, the best models in the world, a competitive ecosystem, and the best applications in the world." "We want to create something that is so compelling and so exciting for governments and people all around the world that they will want to use our technology." - Director Michael Kratsios
2:28

"We want to make sure that the US is the partner of choice for the AI stack." "We have the best chips in the world, the best models in the world, a competitive ecosystem, and the best applications in the world." "We want to create something that is so compelling and so exciting for governments and people all around the world that they will want to use our technology." - Director Michael Kratsios

TBPN

10,386 просмотров • 7 месяцев назад

Alex Karp just declared the geopolitical tech war over. America won. Karp: “AI makes America the dominant country in the world. We have the right chips, software, engineers, culture, people. The whole thing is combining to become a juggernaut.” Not a prediction. A verdict. While Europe spends its time, in Karp’s words, whining and crying, America built an insurmountable stack. Hardware. Software. Engineers. Risk appetite. Culture. Every variable that determines who wins the AI era pointing in the same direction. Karp: “These partnerships happen and that just throws gasoline on the fire.” NVIDIA building the chips. Palantir building the software. The government clearing the path. When those three forces combine at this scale, the gap between America and everyone else doesn’t close gradually. It becomes permanent. But Karp says the real question isn’t whether America wins. It’s who inside America benefits. Karp: “The real question is, will the GDP growth accrue to all Americans or just wealthy Americans? It depends what you do.” The answer is physical. Huang: “Mechanicals and electricals and plumbers and construction.” The AI boom doesn’t just create software jobs. It creates the largest demand for physical labor America has seen in decades. Data centers. Power infrastructure. Manufacturing facilities. Every gigawatt of compute requires humans to build the buildings, run the cables, install the systems. Karp: “If you build manufacturing jobs. Can you build them? Yes. How? You need AI. Can you train the people? Can you upscale them? Yes, if you use AI.” AI trains the workforce that builds the infrastructure that runs the AI. The loop is self-reinforcing. Huang: “The number one thing of this administration is pro power growth. Look at all the power generations that he’s approved. This is really a pro energy growth administration, pro manufacturing administration.” You cannot have an AI boom without an energy boom. Every chip NVIDIA manufactures is useless without the grid to run it. Clearing land. Approving power generation. Accelerating permitting. That’s not an energy policy. That’s an AI strategy. Hardware dominance. Software dominance. Energy dominance. Huang: “When these things all come together…” America isn’t just building data centers. It’s building the most powerful energy-compute matrix in human history. Whoever controls that matrix doesn’t just lead. They define what’s possible for everyone else who needs access to compete. Right now that’s America. Exclusively.
1:23

Alex Karp just declared the geopolitical tech war over. America won. Karp: “AI makes America the dominant country in the world. We have the right chips, software, engineers, culture, people. The whole thing is combining to become a juggernaut.” Not a prediction. A verdict. While Europe spends its time, in Karp’s words, whining and crying, America built an insurmountable stack. Hardware. Software. Engineers. Risk appetite. Culture. Every variable that determines who wins the AI era pointing in the same direction. Karp: “These partnerships happen and that just throws gasoline on the fire.” NVIDIA building the chips. Palantir building the software. The government clearing the path. When those three forces combine at this scale, the gap between America and everyone else doesn’t close gradually. It becomes permanent. But Karp says the real question isn’t whether America wins. It’s who inside America benefits. Karp: “The real question is, will the GDP growth accrue to all Americans or just wealthy Americans? It depends what you do.” The answer is physical. Huang: “Mechanicals and electricals and plumbers and construction.” The AI boom doesn’t just create software jobs. It creates the largest demand for physical labor America has seen in decades. Data centers. Power infrastructure. Manufacturing facilities. Every gigawatt of compute requires humans to build the buildings, run the cables, install the systems. Karp: “If you build manufacturing jobs. Can you build them? Yes. How? You need AI. Can you train the people? Can you upscale them? Yes, if you use AI.” AI trains the workforce that builds the infrastructure that runs the AI. The loop is self-reinforcing. Huang: “The number one thing of this administration is pro power growth. Look at all the power generations that he’s approved. This is really a pro energy growth administration, pro manufacturing administration.” You cannot have an AI boom without an energy boom. Every chip NVIDIA manufactures is useless without the grid to run it. Clearing land. Approving power generation. Accelerating permitting. That’s not an energy policy. That’s an AI strategy. Hardware dominance. Software dominance. Energy dominance. Huang: “When these things all come together…” America isn’t just building data centers. It’s building the most powerful energy-compute matrix in human history. Whoever controls that matrix doesn’t just lead. They define what’s possible for everyone else who needs access to compete. Right now that’s America. Exclusively.

Dustin

51,829 просмотров • 4 месяцев назад