2 years ago

https://aws.amazon.com/polly/ https://aws.amazon.com/hpc/ (HPC) allows scientists and engineers to solve complex, compute-intensive problems such as computational fluid dynamics (CFD), weather forecasting, and genomics. HPC applications typically require instances with high memory bandwidth, a low latency, high bandwidth network interconnect and access to a fast parallel file system.

AWS helps you reduce costs by providing https://aws.amazon.com/ec2/instance-types/c5/, https://aws.amazon.com/ec2/instance-types/p3/, and https://aws.amazon.com/ec2/instance-types/f1/ instances on-demand, https://aws.amazon.com/hpc/efa/ (EFA), an EC2 network device that improves throughput and scaling tightly coupled workloads, and https://aws.amazon.com/hpc/parallelcluster/, an open-source cluster management tool that makes it easy for you to deploy and manage HPC clusters on AWS. Announcing EC2 Hpc6a Instances for HPC Workloads Customers today across various industries use compute-optimized EFA-enabled Amazon EC2 instances (for example, https://aws.amazon.com/blogs/aws/new-c5n-instances-with-100-gbps-networking/, https://aws.amazon.com/blogs/aws/new-m5n-and-r5n-instances-with-up-to-100-gbps-networking/, and https://aws.amazon.com/blogs/aws/new-ec2-m5zn-instances-fastest-intel-xeon-scalable-cpu-in-the-cloud/) to maximize the performance of a variety of HPC workloads, but as these workloads scale to tens of thousands of cores, cost-efficiency becomes increasingly important.

Customers can also use the new Hpc6a instances with http://aws.amazon.com/batch and https://aws.amazon.com/hpc/parallelcluster/ to simplify workload submission and cluster creation.