A high-performance and cost-effective deployment using PyTorch and AWS Inferentia The problem At Screening Eagle, our mission is to protect the built world. We provide hardware and software for buildings and infrastructures health. Ground Penetrating Radar (GPR) technology is one of our core products. GPR is a well-established method of monitoring civil…

Author(s): Mark Saroufim and Jules S. Damji Ray, created at RISELab by the founders of Anyscale. It provides a rich set of native libraries for ML workloads and a general-purpose core for building distributed applications. On top of the libraries provided by Ray, there is a rich ecosystem of libraries…

Authors: Shen Li (Meta AI), Jessica Choi (Meta AI), Pavel Belevich (Meta AI), Yanli Zhao (Meta AI), Rohan Varma (Meta AI), Geeta Chauhan (Meta AI), Pritam Damania (Meta AI), Mahesh Yadav (Meta AI) Collaborators: Vaibhav Singh (Google), Isaack Karanja (Google), Parvez Mulla (Google) Distributed training techniques advanced rapidly in recent…

Authors: Pavel Belevich (Meta AI), Yanli Zhao (Meta AI), Shen Li (Meta AI), Jessica Choi (Meta AI), Rohan Varma (Meta AI), Pritam Damania (Meta AI), Geeta Chauhan (Meta AI), Mahesh Yadav (Meta AI), Pierre-Yves Aquilanti (Amazon AWS), Sundar Ranganathan (Amazon AWS) We demonstrate the feasibility of training 175B- and 1T-parameter…

This blog post was originally posted on: https://customers.microsoft.com/en-us/story/1457351257191063636-solliance-partner-professional-services-pytorch-on-azure Solliance delivers cutting-edge solutions that fill gaps across a wide variety of industries. Through its recent collaboration with Baseline, Solliance revolutionizes the cryptocurrency trading experience, extracting news insights from more than 150,000 global sources in near real time. To manage Baseline workloads…

Authors: Ashkan Yousefpour, Davide Testuggine, Alex Sablayrolles, and Ilya Mironov Introduction In our previous blog post, we went over the basics of the DP-SGD algorithm and introduced Opacus, a PyTorch library for training ML models with differential privacy. In this blog post, we explain how performance-improving vectorized computation is done in…

Author: Michael Fitzke 1 in 4 dogs, and 1 in 5 cats, will develop cancer at some point in their lives. Pets today have a better chance of being successfully treated than ever, thanks to advances in early recognition, diagnosis and treatment. AI and Cancer “This is one of the…

Author: Team PyTorch — The Applied ML Summit is a half-day digital event kicking off on June 10th, bringing together professional data scientists, ML engineers and researchers from across the globe. The event promises to provide interactive technical tutorials to support building, deploying and managing models with Vertex AI, as well as insights from…

Authors: John Trenkle, Jaya Kawale and the Tubi ML Team In this blog series, we aim to highlight the nuances of Machine Learning in Tubi’s Ad-based Video on Demand (AVOD) space as practiced at Tubi. Machine Learning helps solve myriad problems involving recommendations, content understanding and ads. We extensively use…