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Case Studies

Bentley Systems creates breakthrough framework, drastically speeds up AI development with Azure Machine Learning

Software innovator Bentley Systems offers a broad portfolio of solutions to help the organizations that…

PyTorch FoundationMarch 16, 2022

Blog

Running PyTorch Models on Jetson Nano

Overview NVIDIA Jetson Nano, part of the Jetson family of products or Jetson modules, is a small yet…

Jeff Tang, Hamid Shojanazeri, Geeta ChauhanMarch 16, 2022

Case Studies

Solliance makes headlines with cryptocurrency news analysis platform powered by Azure Machine Learning, PyTorch

Solliance delivers cutting-edge solutions that fill gaps across a wide variety of industries. Through its…

PyTorch FoundationMarch 14, 2022

Blog

Introducing PyTorch Fully Sharded Data Parallel (FSDP) API

Recent studies have shown that large model training will be beneficial for improving model quality.…

Yanli Zhao, Rohan Varma, Chien-Chin Huang, Shen Li, Min Xu, Alban DesmaisonMarch 14, 2022

Blog

PyTorch 1.11, TorchData, and functorch are now available

We are excited to announce the release of PyTorch 1.11 (release notes). This release is…

PyTorch FoundationMarch 10, 2022

Blog

Introducing TorchRec, and other domain library updates in PyTorch 1.11

We are introducing the beta release of TorchRec and a number of improvements to the…

PyTorch FoundationMarch 10, 2022

Case Studies

Create a Wine Recommender Using NLP on AWS

In this tutorial, we’ll build a simple machine learning pipeline using a BERT word embedding…

PyTorch FoundationMarch 2, 2022

Blog

Understanding LazyTensor System Performance with PyTorch/XLA on Cloud TPU

Introduction Ease of use, expressivity, and debuggability are among the core principles of PyTorch. One…

Vaibhav SinghMarch 2, 2022

Case Studies

Amazon Ads Uses PyTorch and AWS Inferentia to Scale Models for Ads Processing

Amazon Ads uses PyTorch, TorchServe, and AWS Inferentia to reduce inference costs by 71% and…

PyTorch FoundationFebruary 24, 2022

Blog

Case Study: Amazon Ads Uses PyTorch and AWS Inferentia to Scale Models for Ads Processing

Amazon Ads uses PyTorch, TorchServe, and AWS Inferentia to reduce inference costs by 71% and…

Yashal Kanungo – Applied Scientist, Kamran Khan - Sr. Technical Product Manager, Shubha Kumbadakone – Sr. Specialist, ML FrameworksFebruary 24, 2022

Blog

Introducing TorchRec, a library for modern production recommendation systems

We are excited to announce TorchRec, a PyTorch domain library for Recommendation Systems. This new library…

Meta AI - Donny Greenberg, Colin Taylor, Dmytro Ivchenko, Xing Liu, Anirudh SudarshanFebruary 23, 2022

Case Studies

ChemicalX: A Deep Learning Library for Drug Pair Scoring

In this paper, we introduce ChemicalX, a PyTorch-based deep learning library designed for providing a…

PyTorch FoundationFebruary 10, 2022

Blog

Practical Quantization in PyTorch

Quantization is a cheap and easy way to make your DNN run faster and with…

Suraj Subramanian, Mark Saroufim, Jerry ZhangFebruary 8, 2022

Case Studies

The Why and How of Scaling Large Language Models

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and…

PyTorch FoundationJanuary 4, 2022

Blog

Introducing TorchVision’s New Multi-Weight Support API

TorchVision has a new backwards compatible API for building models with multi-weight support. The new…

Vasilis VryniotisDecember 22, 2021

Blog

Efficient PyTorch: Tensor Memory Format Matters

Ensuring the right memory format for your inputs can significantly impact the running time of…

Dhruv Matani, Suraj SubramanianDecember 15, 2021

Blog

Announcing the Winners of the 2021 PyTorch Annual Hackathon

More than 1,900 people worked hard in this year’s PyTorch Annual Hackathon to create unique…

PyTorch FoundationDecember 8, 2021

Case Studies

Running BERT model inference on AWS Inf1: From model compilation to speed comparison

In this tech blog, we will compare the speed and cost of Inferentia, GPU, and…

PyTorch FoundationNovember 21, 2021

Blog

How to Train State-Of-The-Art Models Using TorchVision’s Latest Primitives

A few weeks ago, TorchVision v0.11 was released packed with numerous new primitives, models and…

Vasilis VryniotisNovember 18, 2021

Case Studies

SearchSage: Learning Search Query Representations at Pinterest

Pinterest surfaces billions of ideas to people every day, and the neural modeling of embeddings…

PyTorch FoundationNovember 9, 2021

Bentley Systems creates breakthrough framework, drastically speeds up AI development with Azure Machine Learning

Running PyTorch Models on Jetson Nano

Solliance makes headlines with cryptocurrency news analysis platform powered by Azure Machine Learning, PyTorch

Introducing PyTorch Fully Sharded Data Parallel (FSDP) API

PyTorch 1.11, TorchData, and functorch are now available

Introducing TorchRec, and other domain library updates in PyTorch 1.11

Create a Wine Recommender Using NLP on AWS

Understanding LazyTensor System Performance with PyTorch/XLA on Cloud TPU

Amazon Ads Uses PyTorch and AWS Inferentia to Scale Models for Ads Processing

Case Study: Amazon Ads Uses PyTorch and AWS Inferentia to Scale Models for Ads Processing

Introducing TorchRec, a library for modern production recommendation systems

ChemicalX: A Deep Learning Library for Drug Pair Scoring

Practical Quantization in PyTorch

The Why and How of Scaling Large Language Models

Introducing TorchVision’s New Multi-Weight Support API

Efficient PyTorch: Tensor Memory Format Matters

Announcing the Winners of the 2021 PyTorch Annual Hackathon

Running BERT model inference on AWS Inf1: From model compilation to speed comparison

How to Train State-Of-The-Art Models Using TorchVision’s Latest Primitives

SearchSage: Learning Search Query Representations at Pinterest

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