Nvidia Uses Emulation To Boost FP64 Performance

Nvidia unveils Rubin GPUs and promotes FP64 emulation in CUDA libraries, claiming up to 200 teraFLOPS of FP64 matrix performance versus 33 teraFLOPS native. AMD cautions that emulation (Ozaki scheme) can break down on ill-conditioned or vector-heavy scientific simulations and is not fully IEEE-compliant. The debate suggests HPC practitioners must validate emulation accuracy and memory trade-offs on target workloads.