{"library":"cumm-cu126","type":"library","category":null,"description":"cuMM is a high-performance CUDA matrix multiplication library designed for deep learning and scientific computing. It provides optimized GEMM (General Matrix Multiply) kernels and supports various precision formats. Version 0.8.2 requires Python >=3.8 and is actively maintained.","language":"python","status":"active","version":"0.8.2","tags":["cuda","matrix-multiplication","gemm","gpu","deep-learning"],"last_verified":"Fri May 01","install":[{"cmd":"pip install cumm-cu126","imports":["import cumm","from cumm import functional"]}],"homepage":null,"github":"https://github.com/FindDefinition/cumm","docs":null,"changelog":null,"pypi":"https://pypi.org/project/cumm-cu126/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}