March 16, 2026 (Local Time) — NVIDIA made a major announcement at the 2026 GTC Conference, launching its full-stack AI infrastructure. The core includes three flagship hardware products: the Vera Rubin Platform, Feynman Forward-looking Architecture, and Groq 3 LPU Inference Chip. Simultaneously, it unveiled the NemoClaw Agent Platform and Dynamo AI Factory Operating System, officially declaring that AI has entered a new era of agents and physical AI.
On the hardware front, the Vera Rubin Platform, as the successor to Blackwell, will enter mass production in the second half of the year. Equipped with Vera CPU and Rubin GPU, it adopts TSMC's 3nm EUV process and HBM4 memory, delivering 5x the inference performance and 3.5x the training performance of the H100, while reducing the cost per Token by 10x. It is supported by full-stack interconnection solutions such as NVLink 6 and ConnectX-9, significantly enhancing the computing power per cabinet. The forward-looking flagship Feynman Architecture, targeted for mass production in 2028, adopts a 1.6nm process and silicon photonics optical interconnection technology, focusing on world models and physical AI, with inference performance 5x that of Blackwell. The Groq 3 LPU focuses on low-latency inference, with a single-chip first-token latency of less than 0.1 milliseconds and performance 10x that of the H100, filling the gap in real-time interaction scenarios for AI agents.
The software ecosystem has been upgraded simultaneously. The open-source NemoClaw Platform provides enterprise-level AI assistant capabilities and supports hybrid local and cloud deployment. Dynamo 1.0 enables unified orchestration of large-scale heterogeneous computing power, increasing inference performance by up to 7x on the Blackwell architecture, and has been integrated by major cloud service providers such as AWS and Azure. In the field of physical AI, products such as the Cosmos 3 World Foundation Model and Isaac GR00T N1.7 Humanoid Robot Model have been opened for commercial use, accelerating the implementation of autonomous systems.
At the strategic level, NVIDIA launched the "AI Factory" model, promoting the upgrade from "buying GPUs" to "deploying full-cabinet AI factories". Meanwhile, it established its leading position in the industry with the "Token Strategy". It is estimated that by the end of 2027, the cumulative revenue of the new generation of AI chips will enter the $1 trillion era. Jensen Huang stated that GTC is the center of the AI industrial era, and full-stack technological breakthroughs will empower various industries to embark on a new industrial revolution.