4 ms·
No it won't. Especially if the price is competitive. Say for the price of 1 1080ti, if i can buy 1.5 units of comparable performance graphics card, i'll surely
by SJetKaran 9y ago
No it won't. Especially if the price is competitive. Say for the price of 1 1080ti, if i can buy 1.5 units of comparable performance graphics card, i'll surely buy it. There are already resources being spent on OpenCI based ML/DL platforms (https://github.com/plaidml/plaidml https://github.com/plaidml/plaidml). The architectures keep getting bigger and training time keeps getting longer. I think you underestimate this factor. I need as much gpu computing power as i can buy within the budget.
- deepGem 9y agoTrue, I would love for some alternatives such as plaidml. However, I can't seem to fathom that Plaidml will be a worthy alternative to lets say Tensorflow or Pytorch or Caffe. I hope I am proven wrong.
- SJetKaran 9y agoI think support for OpenCI will eventually come to other frameworks. But the main problem is the fact that AMD is still far from the NVidia in terms of performance. Vega couldn't reach the performance of 1080Ti, and with Volta next year, the gap is gonna drastically increase. If only AMD can fill the gap, the support, i'm sure, will soon come after that.