Nvidia CEO Jensen Huang on Blackwell GPU Sales, Vera Rubin Platform, and China Market

Blackwell GPU Sales and Supply Chain

• 🚀 Blackwell GPUs are experiencing sales that are "off the charts," with Nvidia's cloud offerings completely sold out.
• 💡 Despite high demand, Nvidia has planned its supply chain incredibly well, working with partners like TSMC, SK Hynix, Micron, and Samsung to ensure ample supply.
• ✅ The company anticipates a very strong year and is prepared for the launch of the Vera Rubin platform.

Vera Rubin Platform Development

• 🗓️ The Vera Rubin platform is on track for delivery around Q3 of next year, continuing Nvidia's annual product cycle.
• 🛠️ Engineering teams are working around the clock to bring Vera Rubin from silicon to systems, software, and algorithms.
• 🔗 The rack scale architecture, including the MVLink 72 switch, is revolutionary and will seamlessly transition from Grace Blackwell Ultra to Vera Rubin.

China Market Strategy

• ⚠️ Nvidia's forecast for the China market is currently zero, with no meaningful H20 sales expected.
• 🇨🇳 While China is a very important market, Nvidia is engaging with both the US and Chinese governments to allow participation in the open market.
• 📈 The company aims to compete globally and provide its technology to Chinese software companies, enabling their models to be used worldwide.

Energy and Infrastructure Constraints

• ⚡ Nvidia's rapid growth, with $10 billion quarter-over-quarter growth, presents challenges across the board, including energy availability.
• 🔌 The company is working closely with energy providers and land/power/shell providers to ensure infrastructure is ready for deployment.
• 🌍 Nvidia leverages its large network of cloud service providers and OEMs to find power solutions globally, from large-scale to small-scale deployments.

AI Compute Demand and Investment Discipline

• 💬 Nvidia's architecture powers all premier frontier models, including those from OpenAI, Anthropic, and Google DeepMind, making it essential for AI development.
• 💰 Nvidia is disciplined with its investments, aligning with OpenAI and Anthropic on demand visibility and financing capabilities before building out capacity.
• 📈 The demand for AI compute is experiencing exponential growth, with companies like OpenAI and Anthropic struggling to keep up, highlighting the critical need for scaling AI infrastructure.

GPU Longevity and Value

• 💡 Nvidia's CUDA ecosystem provides versatility, allowing GPUs to accelerate every phase of AI (pre-training, post-training, inference) and run diverse models.
• ⏳ Even older GPUs like the Ampere A100, shipped six years ago, remain highly utilized and significantly faster than CPUs for many cloud workloads due to continuous software updates and architectural versatility.
• 📉 Unlike singular-use accelerators, Nvidia GPUs maintain value over time due to their broad applicability and the ability to bring value to customers through software.

Financial Contribution to Data Centers

• 💰 Nvidia's contribution to a 1-gigawatt data center is approximately $35 billion for a Vera Rubin system.
• 📊 This figure highlights the significant investment in Nvidia's technology as a core component of AI infrastructure.