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

Not answered access secure generic timer
  • ARMv8 Exception Model
  • Security
  • Arm64
0 votes 68 views 0 replies Started 7 days ago by armsss Answer this
Not answered How do branch instructions influence the performance of Cortex-A77? 0 votes 81 views 0 replies Started 9 days ago by hyf_sysu Answer this
Suggested answer Getting Dummy character while receiving UART data,How to fix it ? 0 votes 455 views 2 replies Latest 10 days ago by Jerome Decamps - 杜尚杰 Answer this
Suggested answer Sht11 interfacing with lpc1758 0 votes 130 views 1 replies Latest 14 days ago by Andy Neil Answer this
Suggested answer Arm Cortex A57 controller 0 votes 287 views 1 replies Latest 15 days ago by Tyler_p Answer this
Not answered M7 to NIC-400 connectivity via AXIM
  • Cortex-M7
  • CoreLink NIC-400 Network Interconnect
0 votes 87 views 0 replies Started 20 days ago by Ramaswamy Vishwanath Answer this
Not answered access secure generic timer Started 7 days ago by armsss 0 replies 68 views
Not answered How do branch instructions influence the performance of Cortex-A77? Started 9 days ago by hyf_sysu 0 replies 81 views
Suggested answer Getting Dummy character while receiving UART data,How to fix it ? Latest 10 days ago by Jerome Decamps - 杜尚杰 2 replies 455 views
Suggested answer Sht11 interfacing with lpc1758 Latest 14 days ago by Andy Neil 1 replies 130 views
Suggested answer Arm Cortex A57 controller Latest 15 days ago by Tyler_p 1 replies 287 views
Not answered M7 to NIC-400 connectivity via AXIM Started 20 days ago by Ramaswamy Vishwanath 0 replies 87 views