5 ms·

More details in my blog post at https://aws.amazon.com/blogs/aws/new-amazon-ec2-instances-with-up-to-8-nvidia-tesla-v100-gpus-p3/ https://aws.amazon.com/blogs/a

• mcherm 9y ago
  I thought the comparison of 1 second of computation today to the lifetime computation of older computers (since they were released) was clever.
• ZeroCool2u 9y ago
  Thanks Jeff, I forwarded your blog post to our Chief Scientist.
• SloopJon 9y ago
  This post states, "In order to take full advantage of the NVIDIA Tesla V100 GPUs and the Tensor cores, you will need to use CUDA 9 and cuDNN7." What version of TensorFlow does it use? From what I can tell, TensorFlow doesn't fully support the latest versions yet.
  • puzzle 9y ago
    TF 1.4 does, but you need to build it yourself. RC1 is out: https://github.com/tensorflow/tensorflow/releases/tag/v1.4.0-rc1 https://github.com/tensorflow/tensorflow/releases/tag/v1.4.0... All our prebuilt binaries have been built with CUDA 8 and cuDNN 6. We anticipate releasing TensorFlow 1.5 with CUDA 9 and cuDNN 7.
  • sumt 9y ago
    You can use the new AWS Deep Learning AMI which has a version of TensorFlow enhanced for CUDA 9 and Volta support https://aws.amazon.com/blogs/ai/announcing-new-aws-deep-learning-ami-for-amazon-ec2-p3-instances/ https://aws.amazon.com/blogs/ai/announcing-new-aws-deep-lear...
  • sipherhex 9y ago
    Chris from NV here. You can also get a full compliment of DL framework containers, as well as CUDA 9/CuDNN 7/NCCL 2 base container, optimized for Volta by NVIDIA via this AMI https://aws.amazon.com/marketplace/pp/B076K31M1S?qid=1509089922554 https://aws.amazon.com/marketplace/pp/B076K31M1S?qid=1509089...
    • dharma1 9y ago
      Are there any frameworks yet supporting the advertised 120 TFLOPs mixed precision training?