Amazon Web Services (AWS) is the most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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Amazon Web Services (AWS) introduced the Amazon EC2 A1 instances powered by the first generation AWS Graviton processors at AWS re:Invent 2018. These instances are custom-built by AWS using 64-bit Arm Neoverse cores and are the first Arm-based instances on AWS.

Amazon EC2 A1 instances provide up to 45% cost savings over other general-purpose instances for scale-out applications such as web servers, containerized microservices, data/log processing, and other workloads that can run on smaller cores and fit within the available memory footprint.

AWS announced the new AWS Graviton2 processors and six new instance types powered by these new processors at AWS re:Invent 2019. The new general purpose (M6g), compute optimized (C6g), and memory optimized (R6g) instances and their disk variants provide up to 40% better price performance over comparable current generation instances for a wide variety of workloads.

Extensive ecosystem support

AWS Graviton2 processors, based on the 64-bit Arm architecture, are supported by several popular Linux distributions and many popular applications and services from AWS and several Independent Software Ecosystem (ISV) vendors.

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Best price performance

AWS Graviton2 processors power Amazon EC2 M6g, C6g, and R6g instances that provide up to 40% better price performance over comparable current generation instances for a wide variety of workloads, including application servers, micro-services, high-performance computing, electronic design automation, gaming, open-source databases, and in-memory caches.

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On-demand, scalable, and cost-effective

Developers building applications on Arm based architecture can leverage AWS Graviton2 processors to run cloud native applications securely, and at scale without any up-front investment or performance compromises. This allows developers to innovate by leveraging an inexpensive and simple cloud access to ensure they have the compute capacity needed.

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Resources

Community Forums

Answered Forum FAQs
  • ARM Community
 0 votes 265 views 0 replies Started 2 months ago by Annie Cracknell Answer this
Suggested answer why output of rndr instruction is mixed with bootloader's entropy to form linux kaslr on arm64
  • Armv8-A
 0 votes 161 views 1 replies Latest 4 days ago by Oliver Beirne Answer this
Not answered Running both armv7 and armv8 binaries
  • Neoverse
 0 votes 43 views 0 replies Started 5 days ago by ManishaNigam Answer this
Not answered Accessing Arm cortex M3 processor inside FPGA using xilinx JTAG 0 votes 48 views 0 replies Started 5 days ago by Keerthi Sagar Answer this
Not answered Where can I download ESL API related files？
  • AMBA TLM Library
 0 votes 60 views 0 replies Started 11 days ago by newplayer Answer this
Not answered How to measure power, current, voltage of arm core on raspberry pi 4 b? 0 votes 97 views 0 replies Started 19 days ago by Hooniehun Answer this
Answered Forum FAQs Started 2 months ago by Annie Cracknell 0 replies 265 views
Suggested answer why output of rndr instruction is mixed with bootloader's entropy to form linux kaslr on arm64 Latest 4 days ago by Oliver Beirne 1 replies 161 views
Not answered Running both armv7 and armv8 binaries Started 5 days ago by ManishaNigam 0 replies 43 views
Not answered Accessing Arm cortex M3 processor inside FPGA using xilinx JTAG Started 5 days ago by Keerthi Sagar 0 replies 48 views
Not answered Where can I download ESL API related files？ Started 11 days ago by newplayer 0 replies 60 views
Not answered How to measure power, current, voltage of arm core on raspberry pi 4 b? Started 19 days ago by Hooniehun 0 replies 97 views