Because the LLM craze has rendered last-gen Tensor accelerators from NVIDIA (& others) useless for all those FP64 HPC workloads. From the article:
> The Hopper H200 is 47.9 gigaflops per watt at FP64 (33.5 teraflops divided by 700 watts), and the Blackwell B200 is rated at 33.3 gigaflops per watt (40 teraflops divided by 1,200 watts). The Blackwell B300 has FP64 severely deprecated at 1.25 teraflops and burns 1,400 watts, which is 0.89 gigaflops per watt. (The B300 is really aimed at low precision AI inference.)
> The Hopper H200 is 47.9 gigaflops per watt at FP64 (33.5 teraflops divided by 700 watts), and the Blackwell B200 is rated at 33.3 gigaflops per watt (40 teraflops divided by 1,200 watts). The Blackwell B300 has FP64 severely deprecated at 1.25 teraflops and burns 1,400 watts, which is 0.89 gigaflops per watt. (The B300 is really aimed at low precision AI inference.)