Description
Sparse matrix-matrix operations can be accelerated on NVIDIA GPUs with a specialized CUDA library. This is useful for machine learning, scientific computing, and high-performance workloads that use structured sparsity.
It depends on compatible NVIDIA hardware, drivers, CUDA versions, and licensing. Version mismatches can break builds or runtime behavior, so match it to the application stack.