Would it be fair to think that if you're currently utilizing an aws instance of p2.xlarge (4 vCPU 1x K80 GPU 64GB RAM) and not nearly maxing it out that you could go to your own dedicated server with 2 K80s (or what made most $ sense) and 2x 10C CPU and have enough CPU resources to run VMs and do other tasks without affecting the machine learning VMs utilizing the K80s?
p2.xlarge from amazon is not cheap, and I have a spare GPU chassis/motherboard as well as everything except the GPUs and am wondering if I can help a friend out not only on the GPU side but allow him to do a lot more with the more cores and ram (256GB RAM) than he is now.
p2.xlarge from amazon is not cheap, and I have a spare GPU chassis/motherboard as well as everything except the GPUs and am wondering if I can help a friend out not only on the GPU side but allow him to do a lot more with the more cores and ram (256GB RAM) than he is now.