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Motivation and Introduction Across the industry, teams training and serving large AI models face aggressive…

Diffusion models for image and video generation have been surging in popularity, delivering super-realistic visual…

Getting distributed training jobs to run on huge clusters is hard!  This is especially true…

Introduction Normalization methods (LayerNorm/RMSNorm) are foundational in deep learning and are used to normalize values…

Introduction TorchInductor currently supports three autotuning backends for matrix multiplications: Triton, CUTLASS (C++), and cuBLAS.…

If you’ve ever trained a large AI model and had it fail with an error…

TL;DR In a joint effort between PyTorch and Nebius, we enabled training DeepSeek-V3 Mixture-of-Experts models…

We are excited to announce the release of PyTorch® 2.11 (release notes)!   The PyTorch 2.11…

Overview We are excited to introduce the highlights of Intel® Core™ Ultra Series 3 processors…

Introduction Over the past year, large language models have rapidly expanded in both scale and…