AMD’s Journey to Openness and Performance
AMD has gained progress in building a robust software stack that supports an open ecosystem of models, libraries, frameworks, and tools. With proven p…
Category: PyTorch
PyTorch, backed by Facebook’s AI Research lab (FAIR), is beloved for its dynamic computation graph, making it a popular choice for researchers and developers for building deep learning models.
Performant Distributed checkpointing in Production with IBM
Last year, IBM Research began collaborating with us to onboard Fully Sharded Data Parallelism (FSDP) for their large foundation models. They became interested as FSDP…
IBM Joins the PyTorch Foundation as a Premier Member
The PyTorch Foundation, part of The Linux Foundation, is pleased to announce that IBM has joined as a premier member.
Announcing CPP-based S3 IO DataPipes
Training large deep learning models requires large datasets. Amazon Simple Storage Service (Amazon S3) is a scalable cloud object store service used f…
The Path to Achieve Ultra-Low Inference Latency With LLaMA 65B on PyTorch/XLA
Background & State of the Art
Optimized PyTorch 2.0 Inference with AWS Graviton processors
New generations of CPUs offer significant performance improvement in machine learning (ML) inference due to specialized built-in instructions. Combine…
🎉 PyTorch Docathon H1 2023 Wrap-up 🎉
Thank you to all who participated in our first ever PyTorch Docathon, the results have been nothing short of amazing! We want to extend our sincerest …
Mastering Configuration Management in Machine Learning with Hydra
Delve into real-world examples to transform configuration management in your ML applicationsContinue reading on Towards Data Science »
