#cublas

A MachineLearning thread argues that cuBLAS may be choosing an inefficient kernel for batched FP32 matrix multiplication on RTX 5090. The significance is not just the claimed slowdown, but the fact that the post includes reproducible benchmark tables, profiling notes, and linked repro material.

A r/MachineLearning post and linked benchmark writeup argue that batched FP32 SGEMM on RTX 5090 is hitting an inefficient cuBLAS path, leaving much of the GPU idle.