nvmath-python: Revolutionizing GPU Math Acceleration with Direct CUDA Integration

1. Why one more Python math package? Python owns the data-science mind-share, but its core linalg stack was never designed to expose every knob in NVIDIA’s hardware. If you need: Mixed-precision GEMM with fused bias–GELU in a single kernel, or In-kernel FFT for radar filtering inside your own CUDA function, or A user-written scaling function welded to an FFT so the output is already normalized, you normally descend into C++ and 300-page PDFs. nvmath-python stays in Python yet exposes the same levers. Think of it as CuPy’s older sibling who studied engineering: same household, more tools. 2. Installation: one pip …