The project uses nearly 500,000 AWS Trainium2 chips, making it the largest Trainium2-based deployment assembled to date.

One of the really great things about Amazon Web Services (AWS) is that AWS makes it easy to create structures in the cloud that would be extremely tedious and time-consuming to create on-premises. For ...

Custom NeuronLink interconnects and EFA fabric enable ultra-low latency across tens-of-thousands of UltraServers ...

AWS OpenAI $38 billion cloud deal exposes how dependent AI innovation is on public cloud infrastructure, says CEO of AI ...

Amazon Web Services (AWS) has officially activated its Project Rainier supercluster of Trainium2 chips. According to a blog ...

This report focuses on how to tune a Spark application to run on a cluster of instances. We define the concepts for the cluster/Spark parameters, and explain how to configure them given a specific set ...

Amazon Cluster GPU Instances provide 22 GB of memory, 33.5 EC2 Compute Units, and utilize the Amazon EC2 Cluster network, which provides high throughput and low latency for HPC and data intensive ...

Today Univa announced that Western Digital is using the company’s Navops Launch and Univa Grid Engine cloud software for large-scale deployments on AWS. The purpose of this collaborative project was ...

Today Univa announced that the company has deployed over 1 million cores in a Univa Grid Engine Cluster using AWS. To demonstrate the unique ability to run very large enterprise HPC clusters and ...