Last updated December 1, 2021
In AI News & Update

AWS Announces Three New Amazon EC2 Instances Powered by AWS-Designed Chips

Customers like DirecTV, Discovery, Epic Games, Formula 1, Honeycomb.io, Intuit, Lyft, MercardoLibre, NextRoll, Nielsen, SmugMug, Snap, Splunk, and Sprinklr have seen significant performance gains and reduced costs from running AWS Graviton2 based instances in production since they launched in 2020.

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Published on December 1, 2021

by Victor Dey

Amazon Web Services (AWS) recently announced three new Amazon Elastic Compute Cloud (Amazon EC2) instances powered by AWS-designed chips at the AWS re:Invent, that help customers significantly improve the performance, cost, and energy efficiency of their workloads running on Amazon EC2.

“With our investments in AWS-designed chips, customers have realized huge price-performance benefits for some of today’s most business-critical workloads. These customers have asked us to continue pushing the envelope with each new EC2 instance generation. AWS’ continued innovation means customers are now getting brand new, game-changing instances to run their most important workloads with significantly better price-performance than anywhere else,” said David Brown, Vice President, Amazon EC2 at AWS.

C7g instances, powered by next-generation AWS Graviton3 processors, provide up to 25% better performance for compute-intensive workloads compared to current generation C6g instances powered by Graviton2 processors. AWS Graviton3 processors also deliver up to 2x higher floating-point performance for scientific, machine learning, and media encoding workloads, up to 2x faster performance for cryptographic workloads, and up to 3x better performance for machine learning workloads compared to previous generation AWS Graviton2 processors.

Trn1 instances powered by AWS Trainium chips offer the best price-performance and the fastest machine learning model training in Amazon EC2, providing up to 40% lower cost to train deep learning models compared to the latest P4d instances. Trn1 instances offer 800 Gbps EFA networking bandwidth (2x higher than the latest EC2 GPU-based instances) and integrate with Amazon FSx for Lustre high-performance storage—enabling customers to launch Trn1 instances with EC2 UltraClusters capability.

Im4gn/Is4gen/I4i instances are architected to maximize the storage performance of I/O-intensive workloads. Im4gn/Is4gen/I4i instances offer up to 30 TB of NVMe storage from AWS-designed AWS Nitro SSDs, delivering up to 60% lower I/O latency and 75% lower latency variability compared to previous generation I3 instances to maximize application performance.

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Victor Dey

Victor is an aspiring Data Scientist & is a Master of Science in Data Science & Big Data Analytics. He is a Researcher, a Data Science Influencer and also an Ex-University Football Player. A keen learner of new developments in Data Science and Artificial Intelligence, he is committed to growing the Data Science community.