PyTorch

38 posts · 11 sources

+3

ModalBlog1w

Modal Clusters are generally available

DatabricksBlog28 Aug

Fast, fault-tolerant PyTorch training on AI Runtime

Hugging FaceBlog6 Jul

Profiling in PyTorch (Part 2): From nn.Linear to a Fused MLP

Hugging FaceBlog6 Jul

Profiling in PyTorch (Part 3): Attention is all you profile

MetaBlog26 May

SilverTorch: Index as Model — A New Retrieval Paradigm for Recommendation Systems

CoreweaveBlog20 May

Decrease PyTorch Model Load Times with CoreWeave’s Tensorizer

GoogleBlog29 Apr

Speeding Up AI: Bringing Google Colossus to PyTorch via GCSFS and Rapid Bucket- Google Developers Blog

GoogleBlog7 Apr

TorchTPU: Running PyTorch Natively on TPUs at Google Scale- Google Developers Blog

BasetenBlog31 Mar

Open-source LLM training is a mess. Here is how it all works.

Together AIBlog3 Dec

How to run TorchForge reinforcement learning pipelines in the Together AI Native Cloud

Together AIBlog3 Dec

Together AI and Meta partner to bring PyTorch Reinforcement Learning to the AI Native Cloud

ReplicateBlog8 Sept

Torch compile caching for inference speed

MetaBlog28 Jul

Accelerating on-device ML on Meta’s family of apps with ExecuTorch

CerebrasBlog17 Mar

Getting Started with PyTorch BERT Models

Hugging FaceBlog13 Mar

The Annotated Diffusion Model

CerebrasBlog11 Mar

Multi-Billion-Parameter Model Training Made Easy with CSoft R1.3

CerebrasBlog6 Mar

Cerebras Software Platform R1.2 is Out!

CerebrasBlog5 Mar

Cerebras Software Platform R1.7 is Out!

MetaBlog22 Aug

Inside the hardware and co-design of MTIA

GoogleBlog26 Jun

Model Explorer: Simplifying ML models for Edge devices- Google Developers Blog