A Comparison of NVIDIA HGX Blackwell B200 vs NVIDIA HGX Hopper H200 GPUs

Since its announcement earlier this year at GTC 2024, NVIDIA’s latest Blackwell GPU architecture has been taking over the AI server solutions industry. This new architecture builds upon its predecessor, the Hopper, providing even greater performance and efficiency. The HGX B200 GPU in particular, seen in our 10U KR9288 server, is a key successor to the NVIDIA HGX H200 8-GPU, which powers our Aivres KR6288. Let’s take a look at some key differences between these two GPUs.

Key differences

As seen in the table above, the Blackwell B200 sets a new benchmark as the clear successor to NVIDIA’s GPU lineup, with significant improvements in performance, memory, and efficiency.

Performance: The B200 delivers up to 2x higher performance in AI workloads due to its improved architecture which includes a massive 208 billion transistor count, efficient dual-chip design, and a newer generation NVLink interconnect and Transformer engine.

Memory: The B200 features almost 1.5 times the memory capacity and bandwidth of H200, enabling faster and more efficient handling of memory-intensive tasks like large models and datasets.

Although the Blackwell B200 appears on paper to be the superior GPU, the Hopper H200 remains a powerful, reliable, and relevant choice for a wide range of workloads and applications that don’t demand the cutting-edge advancements of Blackwell. Learn more about the B200-based KR9288 and H200-based KR6288 to see which fits your needs. In addition to these two systems, Aivres provides a variety of NVIDIA solutions so you can tackle any workload at any scale. Contact us today to learn more.