Nvidia CEO Jensen Huang on Blackwell, Vera Rubin, and the China Market

Nvidia's Strong Sales and Supply Chain

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

Vera Rubin Platform Development

• 🧠 Approximately 20,000 people are working around the clock on the Vera Rubin platform, from silicon to systems and software.
• 🗓️ The platform is on track for delivery around Q3 of next year, continuing Nvidia's annual release cycle.
• 🔗 The rack scale architecture, including the MVLink72 switch, is revolutionary and will be seamlessly used for Vera Rubin, similar to Grace Blackwell.

China Market Strategy

• ⚠️ Nvidia's forecast for the China market is currently zero, despite its importance.
• 🤝 The company aims to re-engage the Chinese market with excellent products and compete globally, emphasizing the benefits for both the US and China.
• 📈 Nvidia is committed to engaging with both the US and Chinese governments to allow participation in the open market.

Energy and Infrastructure Constraints

• ⚡ Nvidia is growing at an extraordinary rate, making everything a challenge, including securing power and land.
• 🌐 The company leverages its extensive network of cloud service providers, OEMs, and global partners to find available power sources.
• 🔌 Power availability is a significant consideration for AI expansion, working closely with energy providers and land/shell providers.

Chip Longevity and Value

• ⏳ Nvidia's CUDA architecture provides versatility, allowing GPUs to accelerate all phases of AI (pre-training, post-training, inference) and run diverse models.
• 🛠️ Even older products like the Ampear A100, shipped six years ago, remain highly utilized and significantly faster than CPUs due to continuous software updates and versatility.
• 📉 Unlike singular-use accelerators, Nvidia GPUs maintain value over time due to their broad applicability and the continuous development of their ecosystem.

Financial Contributions to Data Centers

• 💰 Nvidia's contribution to a 1-gigawatt data center is significant, with Hopper representing $20-25 billion and Blackwell around $30 billion.
• 📊 For a Vera Rubin system, Nvidia's contribution to a 1-gigawatt data center is approximately 35% of the total cost, estimated between $50-55 billion.