{"library":"librmm-cu12","type":"library","category":null,"description":"RMM (RAPIDS Memory Manager) provides a C++ library and Python bindings for managing GPU device memory. It offers various memory resources, including pooling allocators, to improve performance and reduce fragmentation for CUDA-enabled applications. The `librmm-cu12` package is specifically built for CUDA 12.x environments. It follows the RAPIDS release cadence, typically releasing new versions monthly.","language":"python","status":"active","version":"26.4.0","tags":["CUDA","GPU","memory management","RAPIDS","device memory"],"last_verified":"Mon May 25","install":[{"cmd":"pip install librmm-cu12","imports":["from rmm.device_buffer import DeviceBuffer","from rmm.mr import CudaMemoryResource","from rmm.mr import PoolMemoryResource","from rmm.mr import set_current_device_resource","import rmm","import rmm"]}],"homepage":"https://rapids.ai/rmm","github":"https://github.com/rapidsai/rmm","docs":null,"changelog":null,"pypi":"https://pypi.org/project/librmm-cu12/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":2.5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/librmm-cu12/compatibility"}}