The Nvidia GB200 NVL72 architecture offers significant price/performance benefits compared to the previous generation Hopper architecture. Key advantages include a 30x increase in real-time trillion-parameter large language model (LLM) inference performance and a 4x boost in LLM training speed. This GB200 architecture delivers 25X more performance at the same power compared to NVIDIA H100 air-cooled infrastructure, making the GB200 NVL72 not only more powerful but also more cost-effective and energy efficient.
The GB200 NVL72 introduces advanced features such as the second-generation Transformer Engine with FP8 precision and fifth generation NVLink, delivering 1.8 terabytes per second (TB/s) of GPU-to-GPU interconnect speed. These improvements enable the GB200 NVL72 to handle demanding AI workloads more efficiently than the previous Hopper architecture, which is critical for businesses to scale their AI operations without incurring exponential energy and infrastructure costs.
For detailed specifications and additional information, please visit the Nvidia GB200 NVL72 page (https://www.nvidia.com/en-us/data-center/gb200-nvl72/).
