High-Performance Computing with Amazon EC2 Hpc7g Instances

The widespread availability of Amazon Elastic Compute Cloud’s Amazon EC2 Hpc7g instances has been announced by AWS. AWS Graviton processors, which are specialised Arm-based processors created by AWS, run Amazon EC2 Hpc7g instances. Simple instructions (RISC), which produce less heat and allow for better heat dissipation, are noted for their higher core counts with superior performance per watt and their energy efficiency.

Weather forecasting, computational fluid dynamics, and the pricing of financial options are examples of compute workloads. You have Amazon EC2 Hpc6a instances to aid you with this, which provide up to 65% better pricing performance compared to equivalent compute optimised x86-based instances.

Modelling the performance of complex structures, including as wind turbines, concrete buildings, and industrial machinery, is required for other HPC workloads. These models can operate inefficiently for days or weeks without enough data and memory. The Amazon EC2 Hpc6id instance features increased memory bandwidth per core, quicker local solid-state drive (SSD) storage, and improved networking using Elastic Fabric Adapter (EFA) to provide industry-leading pricing performance for data and memory-intensive HPC applications.

Amazon EC2 Hpc7g Instances

Weather forecasting, computational fluid dynamics, and the pricing of financial options are a few examples of compute-intensive HPC workloads that also call for improved network speed, price performance, and energy efficiency.

The public availability of Amazon EC2 Hpc7g instances, a new instance type created specifically for closely linked compute and network-intensive HPC applications, is being announced today.

Hpc7g instances are powered by AWS Graviton3E processors, which are up to 60% more energy-efficient than similar x86 instances and offer up to two times higher floating-point performance and 200 Gbps dedicated EFA bandwidth than EC2 C6gn instances powered by AWS Graviton2 processors.

Here is a brief infographic that compares the Graviton3E processors and HPC7g instances to earlier instances and processors:

Up to 64 cores of the most recent AWS proprietary Graviton3E CPUs with 128 GiB RAM are available in Hpc7g instances. The specifics are shown below:

The most economical way to scale your HPC clusters on AWS is with hpc7g instances. You can take advantage of up to 200 Gbps EFA bandwidth to lower latency and run message passing interface (MPI) applications on parallel computing architectures while ensuring reduced power consumption on HPC7g instances if you’re thinking about moving your largest HPC workloads, which require tens of thousands of cores at scale, to AWS.

Utilising smaller Hpc7g instances allows you to select fewer cores while equitably allocating memory and network resources across the remaining cores to improve per-core performance and cut the cost of software licencing.

You can run different workload types within the same HPC cluster by using Hpc7g instances with AWS ParallelCluster, which offers a complete HPC run-time environment that spans both x86 and arm64 instance types. You can compare and contrast performance, making it easier to find what’s best for you and enabling easier porting of your workload.