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- MSLK Public
MSLK (Meta Superintelligence Labs Kernels) is a collection of PyTorch GPU operator libraries that are designed and optimized for GenAI training and inference, such as FP8 row-wise quantization and collective communications.
- dist_moe Public
Dist-MoE implements Speed-of-Light distributed Mixture-of-Experts forward and backward kernels. They are highly optimized and fused comm-compute kernels for training and inference on SM100+ GPUs
- compile-graph-break-site Public
This repository contains the source code for a static website that provides documentation for each "Graph Break" identified by a Graph Break ID (GBID).
- torchinfer Public
PyTorch inference enablement and optimization solution for serving DLRMv3 https//mlcommons.org/2026/02/dlrmv3-inference-meta/ model families
- autoparallel Public
An experimental implementation of compiler-driven automatic sharding of models across a given device mesh.
- torchcodec Public
Media decoding and encoding for PyTorch: videos, images, and audio, on CPU and GPU.
