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New – Amazon EC2 M6a Instances Powered By 3rd Gen AMD EPYC Processors

AWS and AMD have collaborated to give customers more choice and value in cloud computing, starting with the first generation AMD EPYC™ processors in 2018 such as M5a/R5a, M5ad/R5ad, and T3a instances. In 2020, we expanded the second generation AMD EPYC™ processors to include C5a/C5ad instances and recently G4ad instances, combining the power of both…

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AWS and AMD have collaborated to give customers more choice and value in cloud computing, starting with the first generation AMD EPYC™ processors in 2018 such as M5a/R5a, M5ad/R5ad, and T3a instances. In 2020, we expanded the second generation AMD EPYC™ processors to include C5a/C5ad instances and recently G4ad instances, combining the power of both second-generation AMD EPYC™ processors and AMD Radeon Pro GPUs.

Today, I am happy to announce the general availability of Amazon EC2 M6a instances featuring the 3rd Gen AMD EPYC processors, running at frequencies up to 3.6 GHz to offer up to 35 percent price performance versus the previous generation M5a instances.

You can launch M6a instances today in ten sizes in the AWS US East (N. Virginia), US West (Oregon), and Europe (Ireland) Regions as On-Demand, Spot, and Reserved Instance or as part of a Savings Plan. Here are the specs:

Name vCPUs Memory
(GiB)
Network Bandwidth
(Gbps)
EBS Throughput
(Gbps)
m6a.large 2 8 Up to 12.5 Up to 6.6
m6a.xlarge 4 16 Up to 12.5 Up to 6.6
m6a.2xlarge 8 32 Up to 12.5 Up to 6.6
m6a.4xlarge 16 64 Up to 12.5 Up to 6.6
m6a.8xlarge 32 128 12.5 6.6
m6a.12xlarge 48 192 18.75 10
m6a.16xlarge 64 256 25 13.3
m6a.24xlarge 96 384 37.5 20
m6a.32xlarge 128 512 50 26.6
m6a.48xlarge 192 768 50 40

Compared to M5a instances, the new M6a instances offer:

  • Larger instance size with 48xlarge with up to 192 vCPUs and 768 GiB of memory, enabling you to consolidate more workloads on a single instance. M6a also offers Elastic Fabric Adapter (EFA) support for workloads that benefit from lower network latency and highly scalable inter-node communication, such as HPC and video processing.
  • Up to 35 percent higher price performance per vCPU versus comparable M5a instances, up to 50 Gbps of networking speed, and up to 40 Gbps bandwidth of Amazon EBS, more than twice that of M5a instances.
  • Always-on memory encryption and support for new AVX2 instructions for accelerating encryption and decryption algorithms

M6a instances expand the 6th generation general purpose instances portfolio and provide high-performance processing at 10 percent lower cost over comparable x86 instances. M6a instances are a good fit for running general-purpose workloads such as web servers,  application servers, and small data stores.

To learn more, visit the M6a instances page. Please send feedback to ec2-amd-customer-feedback@amazon.com, AWS forum for EC2, or through your usual AWS Support contacts.

— Channy



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How Kyndryl integrated ServiceNow and Amazon Q Business

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In this post, we show you how Kyndryl integrated Amazon Q Business with ServiceNow in a few simple steps. You will learn how to configure Amazon Q Business and ServiceNow, how to create a generative AI plugin for your ServiceNow incidents, and how to test and interact with ServiceNow using the Amazon Q Business web experience. This post will help you enhance your ServiceNow experience with Amazon Q Business and enjoy the benefits of a generative AI–powered interface.

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In this post, we show how you can use our enterprise graph machine learning (GML) framework GraphStorm to solve prediction challenges on large-scale complex networks inspired by our practices of exploring GML to mitigate the AWS backbone network congestion risk.

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HCLTech’s AWS powered AutoWise Companion: A seamless experience for informed automotive buyer decisions with data-driven design

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This post introduces HCLTech’s AutoWise Companion, a transformative generative AI solution designed to enhance customers’ vehicle purchasing journey. In this post, we analyze the current industry challenges and guide readers through the AutoWise Companion solution functional flow and architecture design using built-in AWS services and open source tools. Additionally, we discuss the design from security and responsible AI perspectives, demonstrating how you can apply this solution to a wider range of industry scenarios.

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