51–60 of 88 posts
What's particularly interesting here is that the Fiji card they propose is a very different beast than any of the NVIDIA offerings. The MI8 card's HBM has a great power and performance advantage (512 GB/s peak bandwidth) even if it's on 28 nm. NVIDIA has nothing that has even remotely comparable bandwidth in this price/perf/TDP regime. None of the NVIDIA GP10[24] Teslas have GDDR5X -- not to surprising given that it…
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For what it's worth, AMD has been working on a CUDA compatibility solution for at least a year now. Announcement[0] and Progress[1] [0] http://www.anandtech.com/show/9792/amd-sc15-boltzmann-initia... [1] http://www.anandtech.com/show/10831/amd-sc16-rocm-13-release...
Additionally, here's an example of how Caffe was porting using HIP [1]. To be honest, if the approach really does work, you might see a very quick increase in the number of applications ported. All in all, given how elegant HIP is and that HCC seems to make GPUs more approachable than CUDA (and less silly than OpenACC), there is a great potential for AMD to gain some traction. My greatest concern is the quality and r…
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So it's a headless passively cooled server version of the R9 Fury X? I figured this was a faster and improved version. Or is this Polaris based? http://www.anandtech.com/show/9390/the-amd-radeon-r9-fury-x-... Not sure if AMD is going to go all HBM on all it's high performance GPUs in 2017, or only offer one or two models with it. http://arstechnica.com/gadgets/2016/03/amd-gpu-vega-navi-rev... EDIT: MI6 is Polaris bas…
> So it's a headless passively cooled server version of the R9 Fury X? I figured this was a faster and improved version. Almost. My guess is R9 Nano [1] given the same 8.2 Tflops (SP) Flop rate [2]. [1] http://www.anandtech.com/show/9621/the-amd-radeon-r9-nano-re... [2] http://images.anandtech.com/doci/10905/AMD%20Radeon%20Instin... > Not sure if AMD is going to go all HBM on all it's high performance GPUs in 2017, o…
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If AMD can release solid hardware, all they would need to do is add support for their hardware to popular open-source projects like TensorFlow. I just hope they do the second part correctly.
FYI, AMD's people are helping TF to add OpenCL support. https://github.com/tensorflow/tensorflow/issues/22
I'm looking forward to the day that Nvidia gets some competition in the GPUs-for-deeplearning market. Further, doing some smaller Deep learning experiments on my MacBook Pro with AMD discrete GPU is another benefit I'm looking forward to ;)
Earlier quoted context omitted.
For what it's worth, AMD has been working on a CUDA compatibility solution for at least a year now. Announcement[0] and Progress[1] [0] http://www.anandtech.com/show/9792/amd-sc15-boltzmann-initia... [1] http://www.anandtech.com/show/10831/amd-sc16-rocm-13-release...
Additionally, here's an example of how Caffe was porting using HIP [1]. To be honest, if the approach really does work, you might see a very quick increase in the number of applications ported. All in all, given how elegant HIP is and that HCC seems to make GPUs more approachable than CUDA (and less silly than OpenACC), there is a great potential for AMD to gain some traction. My greatest concern is the quality and r…
But Keras and Tensorflow still only work on nVidia right?
Does anyone use AMD for deep learning in scientific / industry ? All the libraries for deep learning I have seen require CUDA and NVIDIA is winning by merely being the most popular API. Searching github it looks like they are university assignment projects see https://github.com/search?utf8=%E2%9C%93&q=opencl+deep+learn...
I remember that a few years ago AMD had the only sensible solution for virtualizing GPUs, and you could make a bunch of them work together as a single unit without much trouble. But I didn't have a Radeon card so I never got to try it. Don't know what happened with that, it's true that they really lagged behind NVIDIA.
This video explains what you get https://www.youtube.com/watch?v=tKBthlKTtvQ
What's a good GPU / setup for someone doing deep learning at home? Does anyone have recommendations?
And for another naive question: Why kind of practical/"boring" things can be done with this kind of hardware? I'm in Latin America, and wonder which kind of niche could be satisfied with this, for more "normal" kind of customers.