AWS Drives Cloud Price/Performance and CPU Silicon Innovation with Arm Neoverse
Arm and AWS have partnered to enable the best price performance and CPU silicon innovation in the Amazon cloud. The AWS Graviton2 processor uses Arm Neoverse N1 cores to deliver its computational horsepower.
AWS customers, including Snap, Twitter, Netflix, Epic Games, Nielsen, Redbox, Hotelbeds, and Honeycomb.io are experiencing the improved performance and cost savings AWS Graviton-based instances using Arm technology can deliver.
Don MacAskill (SmugMug & Flickr), Liz Fong-Jones (Honeycomb.io) and Dave Brown (Amazon) share real world experiences about running workloads on AWS Graviton processors based on Arm Neoverse.
Introducing AWS Graviton3
With support for bfloat16, AWS Graviton3 processors deliver up to 3x better performance for ML workloads*. Graviton3 is also the first CPU in the cloud to feature the latest DDR5 memory that provides 50% more memory bandwidth than DDR4.
*Compared to AWS Graviton2For scientific, machine learning, gaming and media encoding workloads. And up to 2x faster performance for cryptographic workloads than Graviton2.
Now in preview, the C7g instance family will offer the best price-performance in Amazon EC2 for compute intensive workloads. Join the C7g instance preview.
EC2 Instances Powered by AWS Graviton2
Based on the high-performant Arm Neoverse N1 core, the AWS Graviton processor powers these AWS ECS instance families.
M6g and M6gd (General Purpose)
Built for general-purpose workloads such as application servers, mid-sized data stores, and microservices, and cluster computing.
T4g (Burstable General Purpose)
(Free Trial) Built for a broad range of burstable general-purpose workloads such as large-scale micro-services, small and medium databases, and virtual desktops.
C6g and C6gd (Compute Optimized)
Built for compute-intensive applications such as high-performance computing, video encoding, gaming, and CPU-based machine learning inference acceleration.
C6gn (C6 with Enhanced Networking)
Compute-optimized C6gn instances with 100 Gbps networking and support for Elastic Fabric adapter (EFA) (Coming Soon).
R6g and R6gd (Memory Optimized)
Built for general-purpose workloads such as application servers, mid-sized data stores, and microservices, and cluster computing.
X2gd (Enhanced Memory)
Build for memory-intensive workloads (like R6g), but with the lowest cost per GiB of memory in Amazon EC2.
Im4gn and Is4gen (Storage Optimized)
Best price performance for storage-intensive workloads and lowest cost per TB of SSD storage in Amazon EC2.
G5g (GPU Accelerated)
Best price performance for Android game streaming and ML inference.
Use Cases for AWS Graviton-based Instances
Based on Arm Neoverse N1, these are some of the more common developer use cases for AWS Graviton.
Continuous Integration/Continuous Deployment |
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Users scaling up with GitLab and GitLab Runner on Graviton2 can achieve cost gains of 23% and performance gains of 36%. |
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Self-hosted runners add Arm support to CircleCI |
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Announcing general availability of Graviton2 CPU support for TravisCI |
More AWS Graviton-based Products and Services
Resources
Free Trial
Industry News
- New Storage-Optimized Amazon EC2 Instances (Im4gn and Is4gen) Powered by AWS Graviton2 Processors
- Announcing AWS Graviton2 Support for AWS Fargate – Get Up to 40% Better Price-Performance for Your Serverless Containers
- Announcing AWS Graviton2-based instances for Amazon Neptune
- Amazon ElastiCache now supports T4g Graviton2-based instances
- Announcing winners of the AWS Graviton Challenge contest and Hackathon
- AWS Lambda Functions Powered by AWS Graviton2 Processor – Run Your Functions on Arm and Get Up to 34% Better Price Performance
White Paper
- Benchmarking Apache Kafka for Cost-Performance on Amazon Web Service
- Guidelines for deploying NGINX Plus on AWS
Blogs
- Specialized processing is driving the era of Arm-based cloud computing, enabling AWS Graviton innovation
- Spark on AWS Graviton2: Machine Learning with MLlib
- Spark on AWS Graviton2: Real-Time Analysis using Spark Streaming
- Parsec add a new level of security for AWS IoT Greengrass
- Arm Blueprint:The cloud gets customized