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for people in deep learning. I want to have a small and performant test server and was thinking of running it on a geforce 3070 (8gb). considering AMD doesn't s
by finikytou 6y ago
for people in deep learning. I want to have a small and performant test server and was thinking of running it on a geforce 3070 (8gb). considering AMD doesn't support CUDA would I kill myself getting a 6800XT instead?
- dhagz 6y agoHonestly? I'd go with a Jetson dev kit. A couple hundred bucks and a whole lot of performance. Plus you get CUDA.
- singhrac 6y agoI think you will still likely encounter a lot of upgrade headaches. If you can wait, see if PyTorch/TF add the 6800XT to their test servers (it seems they current test using a Vega 20, but I'm not certain).
- easde 6y agoYou'll want tensor cores, so I would stick to the 2000 or 3000-series Nvidia cards. Not to mention the headaches of using AMD cards with any ML framework.
- snvzz 6y agoCareful, there's no ML drivers for Ampere and FP32/64 is capped. These are gaming cards. They'll charge you more for the compute cards, when/if they're available.
- zamadatix 6y agoNot to reply to you twice in two different threads but for this threads sake you can absolutely run things like TF on them and they absolutely do kick ass in terms of performance per dollar when you do. I.e. look into what you need out of "ML" and CUDA and the perf/dollar before assuming you need to buy a Quadro simply because you're not playing games on it. https://www.evolution.ai/post/benchmarking-deep-learning-workloads-with-tensorflow-on-the-nvidia-geforce-rtx-3090 https://www.evolution.ai/post/benchmarking-deep-learning-wor...
- fomine3 6y agoStill useful for ML.