NVIDIA 2026 Conf: New Base Model Live

🔑 Enhanced Key Takeaways

• •NVIDIA's Vera Rubin platform, the teased base model, is a custom AI accelerator successor to Blackwell, delivering 3.3x to 5x inference performance in FP4 workloads and 10x reduction in token costs[1][2].
• •Flagship VR200 NVL72 or NVL144 rack systems integrate 72 or 144 Vera Rubin GPUs with a new Vera CPU and HBM4 memory at 3.0 TB/s bandwidth, with early samples to Microsoft and Meta[1][2].
• •NVIDIA announced a gigawatt-scale deployment partnership with Thinking Machines Lab for Vera Rubin systems in frontier model training[2].
• •Jensen Huang's keynote on March 16 at 11 a.m. PT outlined a five-layer AI stack from energy to applications, positioning GTC as the AI infrastructure epicenter[2][4].

🛠️ Technical Deep Dive

• •Vera Rubin architecture: Successor to Blackwell, co-developed Vera ARM-based CPU and Rubin GPUs for seamless efficiency, manufactured without cables for lower costs and higher reliability[3].
• •Performance: 3.3x-5x inference improvement over Blackwell Ultra in FP4, 4x fewer GPUs for MoE training, HBM4 memory with 3.0 TB/s+ bandwidth (30% higher than AMD)[1].
• •Configurations: VR200 NVL72 (72 GPUs + Vera CPU + 6th-gen HBM4); VR200 NVL144 (144 GPUs)[1][2].
• •Interconnect: Retains NVLink; future Feynman preview may introduce silicon photonics on TSMC A16 for 10x bandwidth[1].

🔮 Future ImplicationsAI analysis grounded in cited sources

⏳ Timeline