Matching Workloads to Blackwell: Power-Resolved Benchmarking of NVIDIA B200 and B300 across HPC and AI Workloads

We evaluate NVIDIA B200 and B300 (Blackwell Ultra) GPUs on two independent eight-GPU clusters, spanning computer-vision inference and training, LLM inference with Llama-3-8B and 70B~\cite{llama3}, and six production HPC codes. The B300 is not a uniform successor to the B200: it trails by up to 5.6$\times$ on convolutional inference, 8$\times$ on 3D vision transformer training, 24--27\% on 70B LLM throughput, and 16$\times$ on double-precision Quantum ESPRESSO. We resolve the convolutional defic…

Source: arXiv cs.AR (Hardware Architecture), published 2026-11-02. The summary is the Hub's own; the full story is at the source. Report a rights or accuracy concern