Comments on: Welcome “Big Sur”

By: Scott Ellis

Scott Ellis — Mon, 14 Dec 2015 18:32:04 +0000

(Oops, I’m a dummy and forgot to hit the “Reply” next to your message!)

Yeah, we had a GX8 system in the NVIDIA booth at NIPS – glad you were able to see it, and thanks for the compliment on it!

The M40 cards are fast, but yeah…pretty pricey. You can always consider using Titan X (or GTX 980Ti cards, if you’re not memory-bound) for development and initial training, then moving to if you need the Tesla features (RDMA, ECC, etc.).

Another option is using http://www.GPUasaService.com/ to do development. We’ve tried to make that a lower capital expense for folks to get on high-performance machines.

By: Scott Ellis

Scott Ellis — Mon, 14 Dec 2015 18:29:55 +0000

Yeah, we had a GX8 system in the NVIDIA booth at NIPS – glad you were able to see it, and thanks for the compliment on it!

Another option is using http://www.GPUasaService.com/ to do development. We’ve tried to make that a lower capital expense for folks to get on high-performance machines.

By: Wyatt Clemson

Wyatt Clemson — Sat, 12 Dec 2015 05:28:49 +0000

Just ran across this post. I am a deep learning researcher and was at the NIPS conference this week. I think I saw your system in a booth while I was there (maybe nvidia or ?). It looked nice. My issue was that the cards are so expensive. I like M40 but I heard they are very pricey. The topology above looks impressive and the results are exciting. I need to find money for this.