Home Networking company AWS Announces General Availability of Amazon EC2 Hpc6a Instances

AWS Announces General Availability of Amazon EC2 Hpc6a Instances

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SEATTLE – (COMMERCIAL THREAD) – Today, Amazon Web Services, Inc. (AWS), a company of Amazon.com, Inc. (NASDAQ: AMZN), announced general availability of Amazon Elastic Compute Cloud (Amazon EC2) Hpc6a instances, a new instance type that is specifically designed for tightly coupled High Performance Computing (HPC) workloads. Hpc6a instances, powered by 3rd Generation AMD EPYC processors, extend AWS’s HPC compute options portfolio and offer up to 65% better pricing performance compared to similar compute-optimized Amazon EC2 instances as customers use HPC workloads today. Hpc6a instances make it even more cost effective for customers to scale HPC clusters on AWS to run their most compute-intensive workloads such as genomics, computational fluid dynamics, weather forecasting, molecular dynamics , computational chemistry, financial risk modeling, computer-aided engineering, and seismic imaging. Hpc6a instances are available on demand through a low cost usage model and to use with no upfront commitment. To get started with Hpc6a instances, visit aws.amazon.com/ec2/instance-types/hpc6.

Organizations in many industries rely on HPC to solve their most complex academic, scientific, and business problems. However, the efficient use of HPC is expensive because it requires the ability to process large amounts of data, which requires an abundance of computing power, fast memory and storage, and low latency networking within organizations. HPC clusters. Some organizations build an on-premises infrastructure to run HPC workloads, but this involves expensive upfront investments, long procurement cycles, ongoing overhead management to monitor hardware and keep software up to date, and flexibility. limited when infrastructure inevitably becomes obsolete and needs to be upgraded. Customers in many industries run their HPC workloads in the cloud to take advantage of the superior security, scalability, and elasticity it offers. Engineers, researchers, and scientists rely on AWS to run their largest and most complex HPC workloads and choose Amazon EC2 instances with enhanced networking (e.g. C5n, R5n, M5n, and C6gn ) to scale tightly coupled HPC workloads that require high levels of instance intercom with thousands of interrelated tasks. While the performance of these instances is sufficient for most HPC use cases, as workloads evolve further to solve increasingly difficult problems, customers are looking to maximize pricing performance when they are running applications. HPC workloads of up to tens of thousands of servers on AWS.

The new Hpc6a instances are uniquely designed to provide the best value for running large-scale HPC workloads in the cloud. Hpc6a instances offer up to 65% better pricing performance for HPC workloads to perform complex calculations over a range of cluster sizes, up to tens of thousands of cores. Hpc6a instances are enabled with Elastic Fabric Adapter (EFA) —a network interface for Amazon EC2 instances — by default. With EFA networking, customers benefit from low latency, low jitter, and up to 100 Gbps of EFA network bandwidth to increase operational efficiency and achieve faster results from workloads that rely on inter-agency communications. Hpc6a instances are powered by 3rd generation AMD EPYC processors which operate at frequencies up to 3.6 GHz and provide 384 GB of memory. By using Hpc6a instances, customers can more cost-effectively solve their most important and difficult academic, scientific, and business problems with HPC, and enjoy the benefits of AWS with superior pricing performance.

“By constantly innovating and creating new Amazon EC2 instances specifically designed for virtually any type of workload, AWS customers have realized tremendous value for money for some of today’s most critical applications. ‘hui. While high performance computing has helped solve some of the most difficult problems in science, engineering, and business, running HPC workloads efficiently can be prohibitive for many organizations, ”said David Brown, vice-president. president of Amazon EC2 at AWS. “Designed for HPC workloads, Hpc6a instances now help customers achieve up to 65% better price performance for their HPC clusters at virtually any scale, so they can focus on resolution issues that matter most to them without the cost barriers that exist. today.”

“We are excited to continue our momentum with AWS and provide their customers with this powerful new instance for high performance computing workloads,” said Dan McNamara, senior vice president and general manager, Server Business at AMD. “AMD EPYC processors help customers of all sizes solve some of their most important and complex problems. From small universities to companies via large research centers, the Hpc6a instances optimized by 3rd Gen AMD EPYC processors are opening the world of powerful HPC performance with cloud scalability to more customers globally.

Customers can use Hpc6a instances with AWS ParallelCluster (an open source cluster management tool) to provision Hpc6a instances with other types of instances, giving customers the flexibility to run different types of optimized workloads. for different instances within the same HPC cluster. Hpc6a instances benefit from the AWS Nitro system, a set of building blocks that offload many traditional virtualization functions to dedicated hardware and software to deliver high performance, high availability, and increased security while reducing overhead costs. virtualization. Hpc6a instances are available for purchase as On-Demand or Reserved Instances, or with cost savings plans. Hpc6a instances are available in the US East (Ohio) and AWS GovCloud (US West), and will soon be available in other AWS Regions.

Maxar partners with innovative companies and more than 50 governments to monitor global change, provide broadband communications, and advance space operations with space infrastructure and Earth intelligence capabilities. “Amazon EC2 Hpc6a Instances are another exciting announcement from AWS that allows Maxar to continue to meet and exceed our customers’ requirements for large compute workflows, whether to accelerate research and workload operations. digital weather forecasting job or to create the world’s best, most up-to-date and accurate digital twin models with our Maxar Precision3D suite of products, ”said Dan Nord, SVP and Product Manager at Maxar Technologies. “Hpc6a’s AMD EPYC processors combined with EFA networking capability gives us a 60% performance improvement over alternatives, while also being more cost effective. This allows Maxar to strategically choose from the suite of AWS HPC cluster configurations that we have developed to best meet the needs of our customers while maximizing flexibility and resiliency.

DTN’s global network of weather stations deliver hyper-local, accurate, real-time weather information to give organizations actionable insights. “Our collaboration with AWS allows us to better serve our customers with high-resolution weather forecasting systems that power analytics engines,” said Lars Ewe, CTO at DTN. “We are very happy to see the pricing performance of Hpc6a instances, and expect this to be our go-to Amazon EC2 instance choice for HPC workloads in the future. ”

TotalCAE has over 20 years of experience with HPC for Computer Aided Engineering (CAE). TotalCAE helps eliminate IT headaches by professionally managing the HPC engineering environment and customer engineering applications so that they can focus on engineering, not IT. “The TotalCAE platform enables CAE departments to easily adopt the agility and flexibility of AWS with just a few clicks for hundreds of engineering applications such as Ansys Fluent, Siemens Simcenter STAR-CCM + and Dassault Systèmes Abaqus” , said Rod Mach, President of TotalCAE. . “As an AWS HPC Competence Partner, we help customers run their CAE workloads in the cloud. With HPC6a instances, we’ve seen up to a 30% performance increase for digital fluid dynamics workloads at a lower cost, enabling TotalCAE to deliver best-in-class performance and scalability to its customers. in the cloud. ”

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