Connect with us

Amazon

New Storage-Optimized Amazon EC2 Instances (Im4gn and Is4gen) Powered by AWS Graviton2 Processors

EC2 storage-optimized instances are designed to deliver high disk I/O performance, and plenty of storage. Our customers use them to host high-performance real-time databases, distributed file systems, data warehouses, key-value stores, and more. Over the years we have released multiple generations of storage-optimized instances including the HS1 (2012) , D2 (2015), I2 (2013) , I3…

Published

on

EC2 storage-optimized instances are designed to deliver high disk I/O performance, and plenty of storage. Our customers use them to host high-performance real-time databases, distributed file systems, data warehouses, key-value stores, and more. Over the years we have released multiple generations of storage-optimized instances including the HS1 (2012) , D2 (2015), I2 (2013) , I3 (2017), I3en (2019), and D3/D3en (2020).

As I look back on all of these launches, it is interesting to see how we continue to provide an ever-increasing set of options that make each successive generation an even better fit for the diverse (and also ever-increasing) needs of our customers. HS1 instances were available in just one size, D2 and I2 in four, I3 in six, and I3en in eight. These instances give our customers the freedom to choose the size that best meets their current needs while also giving them room to scale up or down if those needs happen to change.

Im4gn and Is4gen
Today I am happy to introduce the two newest families of storage-optimized instances, Im4gn and Is4gen, powered by Graviton2 processors. Both instances offer up to 30 TB of NVMe storage using AWS Nitro SSD devices that are custom-built by AWS. As part of our drive to innovate on behalf of our customers, we turned our attention to storage and designed devices that were optimized to support high-speed access to large amounts of data. The AWS Nitro SSDs reduce I/O latency by up to 60% and also reduce latency variability by up to 75% when compared to the third generation of storage-optimized instances. As a result you get faster and more predictable performance for your I/O-intensive EC2 workloads.

Im4gn instances are a great fit for applications that require large amounts of dense SSD storage and high compute performance, but are not especially memory intensive such as social games, session storage, chatbots, and search engines. Here are the specs:

Instance Name vCPUs Memory Local NVMe Storage
(AWS Nitro SSD)
Read Throughput
(128 KB Blocks)
EBS-Optimized Bandwidth Network Bandwidth
im4gn.large 2 8 GiB 937 GB 250 MB/s Up to 9.5 Gbps Up to 25 Gbps
im4gn.xlarge 4 16 GiB 1.875 TB 500 MB/s Up to 9.5 Gbps Up to 25 Gbps
im4gn.2xlarge 8 32 GiB 3.75 TB 1 GB/s Up to 9.5 Gbps Up to 25 Gbps
im4gn.4xlarge 16 64 GiB 7.5 TB 2 GB/s 9.5 Gbps 25 Gbps
im4gn.8xlarge 32 128 GiB 15 TB
(2 x 7.5 TB)
4 GB/s 19 Gbps 50 Gbps
im4gn.16xlarge 64 256 GiB 30 TB
(4 x 7.5 TB)
8 GB/s 38 Gbps 100 Gbps

Im4gn instances provide up to 40% better price performance and up to 44% lower cost per TB of storage compared to I3 instances. The new instances are available in the AWS US West (Oregon), US East (Ohio), US East (N. Virginia), and Europe (Ireland) Regions as On-Demand, Spot, Savings Plan, and Reserved instances.

Is4gen instances are a great fit for applications that do large amounts of random I/O to large amounts of SSD storage. This includes shared file systems, stream processing, social media monitoring, and streaming platforms, all of which can use the increased storage density to retain more data locally. Here are the specs:

Instance Name vCPUs Memory Local NVMe Storage
(AWS Nitro SSD)
Read Throughput
(128 KB Blocks)
EBS-Optimized Bandwidth Network Bandwidth
is4gen.medium 1 6 GiB 937 GB 250 MB/s Up to 9.5 Gbps Up to 25 Gbps
is4gen.large 2 12 GiB 1.875 TB 500 MB/s Up to 9.5 Gbps Up to 25 Gbps
is4gen.xlarge 4 24 GiB 3.75 TB 1 GB/s Up to 9.5 Gbps Up to 25 Gbps
is4gen.2xlarge 8 48 GiB 7.5 TB 2 GB /s Up to 9.5 Gbps Up to 25 Gbps
is4gen.4xlarge 16 96 GiB 15 TB
(2 x 7.5 TB)
4 GB/s 9.5 Gbps 25 Gbps
is4gen.8xlarge 32 192 GiB 30 TB
(4 x 7.5 TB)
8 GB/s 19 Gbps 50 Gbps

Is4gen instances provide 15% lower cost per TB of storage and up to 48% better compute performance compared to I3en instances. The new instances are available in the AWS US West (Oregon), US East (Ohio), US East (N. Virginia), and Europe (Ireland) Regions as On-Demand, Spot, Savings Plan, and Reserved instances.

Available Now
As I never get tired of saying, these new instances are available now and you can start using them today. You can use Amazon Linux 2, Ubuntu 18.04.05 (and newer), Red Hat Enterprise Linux 8.0, and SUSE Enterprise Server 15 (and newer) AMIs, along with the container-optimized ECS and EKS AMIs. Learn more about the Im4gn and Is4gen instances.

Jeff;

PS – As of this launch twelve EC2 instance types are now powered by Graviton2 processors! To learn more, visit the Graviton2 page.



Source

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Amazon

How Kyndryl integrated ServiceNow and Amazon Q Business

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…

Published

on

By

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.

Source

Continue Reading

Amazon

Mitigating risk: AWS backbone network traffic prediction using GraphStorm

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. Source

Published

on

By

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.

Source

Continue Reading

Amazon

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

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…

Published

on

By

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.

Source

Continue Reading

Trending

Copyright © 2021 Today's Digital.