Meta’s MSLK library delivers fused GPU kernels for faster transformer workloads
MSLK is an open‑source library of fused GPU kernels for transformer workloads—attention, low‑precision GEMM, quantization, MoE routing and more—built on top of PyTorch primitives. It delivers higher throughput for GenAI training and inference, with pip wheels for CUDA 13 and ROCm 7.1.