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ROCm has been upstreamed to TensorFlow 2.0 now and it is gaining traction on AI platforms: https://www.logicalclocks.com/blog/welcoming-amd-rocm-to-hopsworks h

ROCm has been upstreamed to TensorFlow 2.0 now and it is gaining traction on AI platforms: https://www.logicalclocks.com/blog/welcoming-amd-rocm-to-hopsworks https://www.logicalclocks.com/blog/welcoming-amd-rocm-to-hop... Also, the performance of AMD GPUs for deep learning is improving (50% in last 12 months through software alone). The Radeon VII ($600) is about the same performance as the Nvidia 2080Ti ($1100) - and the Radeon VII can be used in a data center (Nvidia force you to use the Volta GPUs - $9000 for a V100): https://cdn.oreillystatic.com/en/assets/1/event/299/ROCm%20and%20Hopsworks%20for%20end-to-end%20deep%20learning%20pipelines%20Presentation.pdf https://cdn.oreillystatic.com/en/assets/1/event/299/ROCm%20a...

Symmetry 7y ago
Has this resulted in any increase in uptake of their GPUs? I'm usually the one to praise The Economist for covering technical subjects without embarrassing missteps but this: Its gpus—which provide 3d graphics for video games and, increasingly, the computational grunt for trendy machine-learning algorithms—go up against those from Nvidia, whose revenues last year of $11.7bn were nearly twice those of amd. seems wrong to me. They've been doing perfectly well in HPC tasks in supercomputers. And their CPUs have been doing great. But as far as I'm aware most machine learning work that moves away from NVidia moves to custom silicon rather than AMD GPUs. For the sake of openness I'd very much like AMD to start becoming a more popular option though.