ROCm is AMD's "CUDA". TensorFlow is now up-to-date - but you have to work with AMD's fork of tensorflow, they haven't upstreamed their changes yet. The new GPU

ROCm is AMD's "CUDA". TensorFlow is now up-to-date - but you have to work with AMD's fork of tensorflow, they haven't upstreamed their changes yet. The new GPU of interest for DeepLearning is the MI60. It has 32GB of RAM, 1TB/s memory bandwidth. Performance on fp32 looks slightly lower than the V100 (resnet50 on tensorflow, see below). But there are no tensorcores, so resnet50 would go 3x faster using the TensorCores. Personally, i think TensorCores are not that useful in the general case, as not enough programmers that i have come across are writing their code to use them. They are good, but nichey. The important thing we don't know is the price. Expect it to be released by the end of Q1 or early Q2. Reference: https://wccftech.com/amd-radeon-mi60-resnet-benchmarks-v100-tensor-not-used/ https://wccftech.com/amd-radeon-mi60-resnet-benchmarks-v100-...