As part of insideHPC’s series of interviews on behalf of HPC industry analyst firm Hyperion Research, we spoke with Hyperion’s Alex Norton about his overview of the state of AI – or “big AI,” where AI and HPC often combine – at a special Hyperion event in Washington last month. In this interview, Norton, who is Hyperion’s principal technology analyst and data analysis manager, highlights key AI trends and insights, including….
AWS Announces GA of EC2 Trn1 Instances for ML Model Training
October 11, 2022 by
SEATTLE — Oct. 10, 2022 — Amazon Web Services today announced the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS-designed Trainium chips. Trn1 instances are built for high-performance training of machine learning models in the cloud. AWS said the offering saves up to 50 percent cost-to-train savings over comparable […]
How Machine Learning Is Revolutionizing HPC Simulations
August 12, 2021 by
Physics-based simulations, that staple of traditional HPC, may be evolving toward an emerging, AI-based technique that could radically accelerate simulation runs while cutting costs. Called “surrogate machine learning models,” the topic was a focal point in a keynote on Tuesday at the International Conference on Parallel Processing by Argonne National Lab’s Rick Stevens. Stevens, ANL’s […]
