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In consumer terms AMD's got a compelling product for mid-range GPUs where most of the money is but NVidia's got the top of the range locked up. Hopefully we'll

In consumer terms AMD's got a compelling product for mid-range GPUs where most of the money is but NVidia's got the top of the range locked up. Hopefully we'll see some good chips out of AMD soon which combine a genuinely good CPU core with a good GPU in one package which'll be really nice in the low end of the market. As for scientific computing I suppose there are workloads where having your GPU and CPU on one die might give you latency savings that are worth it but mostly NVidia is going to keep owning that market for the next few years.

slizard 10y ago
The new "Radeon Instinct" cards are about to be released: http://www.anandtech.com/show/10905/amd-announces-radeon-instinct-deep-learning-2017/2 http://www.anandtech.com/show/10905/amd-announces-radeon-ins... The mid-range has a lot of potential as it's based on Fiji which NVIDIA can't match in terms of memory BW with any of their existing ML products (nor near future ones). This is important IMO because ML inference is memory-bound and GDDR5 on NVIDIA's cards is no match for even 1st gen HBM. The big cards is announced to be 12.5/25 Tflops SP/HP, so as long as it's not "tensoring" it should be in between P100 and V100. If they get the price right (and given that even P100 is currently still $5.5-6 w/o tax), it will hopefully gain traction. A lot hinges on their fully OSS (!) software stack, but they are getting things done, just had a new release: https://rocm.github.io https://rocm.github.io