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> ec2 only offers 6 general-purpose ARM instance sizes m6g, c6g, r6g each support 6 sizes for a total of 24

• _msw_ 6y ago
  Disclosure: I work at AWS building cloud infrastructure C6g, M6g, and R6g (powered by AWS Graviton2) each support 8 sizes, along with bare metal. A1 instances (powered by AWS Graviton) have 5 sizes, along with bare metal. That's a total of 33 distinct instance sizes.
  • bmalehorn 6y ago
    Thanks, I didn't know about c6g, m6g, r6g. I've updated the post to remove this mention - I only counted a1 instances. That still leaves storage optimized and GPU optimized instances missing. I'm guessing storage should be easy enough to add, but what about GPU? From my novice experience with GPUs, they need finicky drivers that must be ported by the GPU manufacturers, so I figure it might take a while to get competitive ARM GPU instances.
    • _msw_ 6y ago
      Configurations of these instances with NVMe local storage are coming. NVIDIA is supporting Arm for CUDA development, see https://nvidianews.nvidia.com/news/nvidia-brings-cuda-to-arm-enabling-new-path-to-exascale-supercomputing https://nvidianews.nvidia.com/news/nvidia-brings-cuda-to-arm... and https://blogs.nvidia.com/blog/2019/11/18/ngc-containers-arm/ https://blogs.nvidia.com/blog/2019/11/18/ngc-containers-arm/
• xsmasher 6y ago
  This seemed like the weakest argument in the article; as arm becomes more popular it will get more support.