FP8 Is All You Need (Part 1): Debunking Hardware FP64 as the HPC Holy Grail (arxiv.org) AI

A paper by Satoshi Matsuoka argues that the HPC field’s “native FP64 silicon” is not the necessary foundation for scientific computing, claiming that on newer AI-optimized GPUs (e.g., NVIDIA B300/Blackwell Ultra) FP8 throughput combined with an Ozaki Scheme II reconstruction approach can recover full FP64 accuracy while achieving memory-roof execution for common HPC kernels.