New – Amazon EC2 Hpc6id Instances Optimized for High Performance Computing

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re:Invent
Amazon EC2
海外精选的内容汇集了全球优质的亚马逊云科技相关技术内容。同时,内容中提到的“AWS” 是 “Amazon Web Services” 的缩写,在此网站不作为商标展示。
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{"value":"We have given you the flexibility and ability to run the largest and most complex [ high performance computing](https://aws.amazon.com/hpc/) (HPC) workloads with [Amazon Elastic Compute Cloud](https://aws.amazon.com/ec2/) (Amazon EC2) instances that feature enhanced networking like [C5n](https://aws.amazon.com/blogs/aws/new-c5n-instances-with-100-gbps-networking/), [C6gn](https://aws.amazon.com/about-aws/whats-new/2020/12/announcing-new-amazon-ec2-c6gn-instances-powered-by-aws-graviton2-processors-with-100-gbps-networking/), [R5n, M5n](https://aws.amazon.com/blogs/aws/new-m5n-and-r5n-instances-with-up-to-100-gbps-networking/), and our recently launched [HPC instances Hpc6a](https://aws.amazon.com/blogs/aws/new-amazon-ec2-hpc6a-instance-optimized-for-high-performance-computing/).\n\nWe heard feedback from customers asking us to deliver more options to support their most intensive workloads with higher per-vCPU compute performance as well as larger memory and local disk storage to reduce job completion time for data-intensive workloads like [Finite Element Analysis](https://aws.amazon.com/blogs/hpc/tag/finite-element-analysis/) (FEA) and [seismic processing](https://aws.amazon.com/blogs/hpc/tag/finite-element-analysis/).\n\n\n### ++Announcing Amazon EC2 Hpc6id Instance for HPC Workloads++\nToday, we announce the general availability of **[Amazon EC2 Hpc6id instances](https://aws.amazon.com/ec2/instance-types/hpc6i/)**, a new instance type that is purpose-built for tightly coupled HPC workloads. Amazon EC2 Hpc6id instances are powered by 3rd Gen Intel Xeon Scalable processors (Ice Lake) that run at frequencies up to 3.5 GHz, 1024 GiB memory, 15.2 TB local SSD disk, 200 Gbps [Elastic Fabric Adapter](https://aws.amazon.com/hpc/efa/) (EFA) network bandwidth, which is 4x higher than [R6i instances](https://aws.amazon.com/ec2/instance-types/r6i/).\n\nAmazon EC2 Hpc6id instances have the best per-vCPU HPC performance when compared to similar x86-based EC2 instances for data-intensive HPC workloads.\n\nHere are the detailed specs:\n\n\n![image.png](https://dev-media.amazoncloud.cn/bafa79cc404140b7884f148fbf40bde2_image.png)\n\n### ++Amazon EC2 Hpc6id Instances Use Cases++\nCustomers running license-bound scenarios can lower infrastructure and HPC software licensing costs with Hpc6id. Other customers with HPC codes that are optimized for Intel-specific features, such as [Math Kernel Library](https://www.intel.com/content/www/us/en/develop/documentation/get-started-with-mkl-for-dpcpp/top.html) or [AVX-512](https://www.intel.com/content/www/us/en/architecture-and-technology/avx-512-overview.html), can migrate their largest HPC workloads to Hpc6id and scale up their workloads on AWS by taking advantage of 200 Gbps EFA bandwidth.\n\nOther customers using HPC software codes that are optimized for per-CPU performance are also able to consolidate their workloads on fewer nodes and complete jobs faster with Hpc6id. Faster job completion time helps customers to reduce both infrastructure and software licensing costs. Customers can use Hpc6id instances to quickly carry out complex calculations across a range of cluster sizes—up to tens of thousands of cores.\n\nCustomers also can use Hpc6id instances with [AWS ParallelCluster](https://aws.amazon.com/hpc/parallelcluster/) to provision Hpc6id instances alongside other instance types, giving customers the flexibility to run different workload types within the same HPC cluster. Hpc6id instances benefit from the [AWS Nitro System](https://aws.amazon.com/ec2/nitro/), a rich collection of building blocks that offloads many of the traditional virtualization functions to dedicated hardware and software to deliver high performance, high availability, and high security while also reducing virtualization overhead.\n\n\n### ++Now Available++\n[Amazon EC2 Hpc6id instances](https://aws.amazon.com/ec2/instance-types/hpc6i/) are available for purchase as [On-Demand](https://aws.amazon.com/ec2/pricing/on-demand/) or [Reserved Instances](https://aws.amazon.com/ec2/pricing/reserved-instances/) or with [Savings Plans](https://aws.amazon.com/savingsplans/). Hpc6id instances are available in the US East (Ohio) and AWS GovCloud (US-West) Regions. To optimize Amazon EC2 Hpc6id instances networking for tightly coupled workloads, use cluster placement groups within a single Availability Zone.\n\nTo learn more, visit our [Hpc6 instance page](https://aws.amazon.com/ec2/instance-types/hpc6?sc_detail=blog_cta1) and get in touch with [our HPC team](https://pages.awscloud.com/hpc_interest_2019.html), [AWS re:Post for EC2](https://repost.aws/tags/TAO-wqN9fYRoyrpdULLa5y7g/amazon-ec-2), or through your usual AWS Support contacts.\n\n– [Channy](https://twitter.com/channyun)\n\n![4cb1206ddc6551fff41080fcf865b37.png](https://dev-media.amazoncloud.cn/3375681c611d4827b853a01cb7cb95dc_4cb1206ddc6551fff41080fcf865b37.png)\n\n### **[Channy Yun](https://aws.amazon.com/blogs/aws/author/channy-yun/)**\nChanny Yun is a Principal Developer Advocate for AWS, and passionate about helping developers to build modern applications on latest AWS services. A pragmatic developer and blogger at heart, he loves community-driven learning and sharing of technology, which has funneled developers to global AWS Usergroups. His main topics are open-source, container, storage, network & security, and IoT. Follow him on Twitter at @channyun.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","render":"<p>We have given you the flexibility and ability to run the largest and most complex <a href=\"https://aws.amazon.com/hpc/\" target=\"_blank\"> high performance computing</a> (HPC) workloads with <a href=\"https://aws.amazon.com/ec2/\" target=\"_blank\">Amazon Elastic Compute Cloud</a> (Amazon EC2) instances that feature enhanced networking like <a href=\"https://aws.amazon.com/blogs/aws/new-c5n-instances-with-100-gbps-networking/\" target=\"_blank\">C5n</a>, <a href=\"https://aws.amazon.com/about-aws/whats-new/2020/12/announcing-new-amazon-ec2-c6gn-instances-powered-by-aws-graviton2-processors-with-100-gbps-networking/\" target=\"_blank\">C6gn</a>, <a href=\"https://aws.amazon.com/blogs/aws/new-m5n-and-r5n-instances-with-up-to-100-gbps-networking/\" target=\"_blank\">R5n, M5n</a>, and our recently launched <a href=\"https://aws.amazon.com/blogs/aws/new-amazon-ec2-hpc6a-instance-optimized-for-high-performance-computing/\" target=\"_blank\">HPC instances Hpc6a</a>.</p>\n<p>We heard feedback from customers asking us to deliver more options to support their most intensive workloads with higher per-vCPU compute performance as well as larger memory and local disk storage to reduce job completion time for data-intensive workloads like <a href=\"https://aws.amazon.com/blogs/hpc/tag/finite-element-analysis/\" target=\"_blank\">Finite Element Analysis</a> (FEA) and <a href=\"https://aws.amazon.com/blogs/hpc/tag/finite-element-analysis/\" target=\"_blank\">seismic processing</a>.</p>\n<h3><a id=\"Announcing_Amazon_EC2_Hpc6id_Instance_for_HPC_Workloads_5\"></a><ins>Announcing Amazon EC2 Hpc6id Instance for HPC Workloads</ins></h3>\n<p>Today, we announce the general availability of <strong><a href=\"https://aws.amazon.com/ec2/instance-types/hpc6i/\" target=\"_blank\">Amazon EC2 Hpc6id instances</a></strong>, a new instance type that is purpose-built for tightly coupled HPC workloads. Amazon EC2 Hpc6id instances are powered by 3rd Gen Intel Xeon Scalable processors (Ice Lake) that run at frequencies up to 3.5 GHz, 1024 GiB memory, 15.2 TB local SSD disk, 200 Gbps <a href=\"https://aws.amazon.com/hpc/efa/\" target=\"_blank\">Elastic Fabric Adapter</a> (EFA) network bandwidth, which is 4x higher than <a href=\"https://aws.amazon.com/ec2/instance-types/r6i/\" target=\"_blank\">R6i instances</a>.</p>\n<p>Amazon EC2 Hpc6id instances have the best per-vCPU HPC performance when compared to similar x86-based EC2 instances for data-intensive HPC workloads.</p>\n<p>Here are the detailed specs:</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/bafa79cc404140b7884f148fbf40bde2_image.png\" alt=\"image.png\" /></p>\n<h3><a id=\"Amazon_EC2_Hpc6id_Instances_Use_Cases_15\"></a><ins>Amazon EC2 Hpc6id Instances Use Cases</ins></h3>\n<p>Customers running license-bound scenarios can lower infrastructure and HPC software licensing costs with Hpc6id. Other customers with HPC codes that are optimized for Intel-specific features, such as <a href=\"https://www.intel.com/content/www/us/en/develop/documentation/get-started-with-mkl-for-dpcpp/top.html\" target=\"_blank\">Math Kernel Library</a> or <a href=\"https://www.intel.com/content/www/us/en/architecture-and-technology/avx-512-overview.html\" target=\"_blank\">AVX-512</a>, can migrate their largest HPC workloads to Hpc6id and scale up their workloads on AWS by taking advantage of 200 Gbps EFA bandwidth.</p>\n<p>Other customers using HPC software codes that are optimized for per-CPU performance are also able to consolidate their workloads on fewer nodes and complete jobs faster with Hpc6id. Faster job completion time helps customers to reduce both infrastructure and software licensing costs. Customers can use Hpc6id instances to quickly carry out complex calculations across a range of cluster sizes—up to tens of thousands of cores.</p>\n<p>Customers also can use Hpc6id instances with <a href=\"https://aws.amazon.com/hpc/parallelcluster/\" target=\"_blank\">AWS ParallelCluster</a> to provision Hpc6id instances alongside other instance types, giving customers the flexibility to run different workload types within the same HPC cluster. Hpc6id instances benefit from the <a href=\"https://aws.amazon.com/ec2/nitro/\" target=\"_blank\">AWS Nitro System</a>, a rich collection of building blocks that offloads many of the traditional virtualization functions to dedicated hardware and software to deliver high performance, high availability, and high security while also reducing virtualization overhead.</p>\n<h3><a id=\"Now_Available_23\"></a><ins>Now Available</ins></h3>\n<p><a href=\"https://aws.amazon.com/ec2/instance-types/hpc6i/\" target=\"_blank\">Amazon EC2 Hpc6id instances</a> are available for purchase as <a href=\"https://aws.amazon.com/ec2/pricing/on-demand/\" target=\"_blank\">On-Demand</a> or <a href=\"https://aws.amazon.com/ec2/pricing/reserved-instances/\" target=\"_blank\">Reserved Instances</a> or with <a href=\"https://aws.amazon.com/savingsplans/\" target=\"_blank\">Savings Plans</a>. Hpc6id instances are available in the US East (Ohio) and AWS GovCloud (US-West) Regions. To optimize Amazon EC2 Hpc6id instances networking for tightly coupled workloads, use cluster placement groups within a single Availability Zone.</p>\n<p>To learn more, visit our <a href=\"https://aws.amazon.com/ec2/instance-types/hpc6?sc_detail=blog_cta1\" target=\"_blank\">Hpc6 instance page</a> and get in touch with <a href=\"https://pages.awscloud.com/hpc_interest_2019.html\" target=\"_blank\">our HPC team</a>, <a href=\"https://repost.aws/tags/TAO-wqN9fYRoyrpdULLa5y7g/amazon-ec-2\" target=\"_blank\">AWS re:Post for EC2</a>, or through your usual AWS Support contacts.</p>\n<p>– <a href=\"https://twitter.com/channyun\" target=\"_blank\">Channy</a></p>\n<p><img src=\"https://dev-media.amazoncloud.cn/3375681c611d4827b853a01cb7cb95dc_4cb1206ddc6551fff41080fcf865b37.png\" alt=\"4cb1206ddc6551fff41080fcf865b37.png\" /></p>\n<h3><a id=\"Channy_Yunhttpsawsamazoncomblogsawsauthorchannyyun_32\"></a><strong><a href=\"https://aws.amazon.com/blogs/aws/author/channy-yun/\" target=\"_blank\">Channy Yun</a></strong></h3>\n<p>Channy Yun is a Principal Developer Advocate for AWS, and passionate about helping developers to build modern applications on latest AWS services. A pragmatic developer and blogger at heart, he loves community-driven learning and sharing of technology, which has funneled developers to global AWS Usergroups. His main topics are open-source, container, storage, network &amp; security, and IoT. Follow him on Twitter at @channyun.</p>\n"}
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