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I last did GPU programming around the transition from just-shaders to gpgpu... And I want to come back. However, I don't want to buy new hardware just yet. In a
by beagle3 10y ago
I last did GPU programming around the transition from just-shaders to gpgpu... And I want to come back. However, I don't want to buy new hardware just yet. In addition to all the study materials posted, can anyone recommend a good hosted GPU setup for experiments? e.g. what kind of EC2/GCE instance would be a cost effective way to [re]learn GPU programming?
- gtani 10y agoPeople commonly spend US$80+/month on training deep learning models on EC2, when you can now buy a brand new 980Ti for $440 from newegg, and the very capable 970 at $280. If you don't have a motherboard/PS that supports 2 video cards at 16 PCIe 3.0 lanes each, it's a worthy investment. There are wrinkles like if you're doing double precision arithmetic, consumer cards from nvidia since the Titan blacks are 12:1 fp32:fp64 or higher i.e. double precision is relatively slow. Radeons/openCL might be better for the purpose
- beagle3 10y agoThanks. For sure, if I do anything serious I will buy my own hardware. But I'd like to play a little to get a feel - I'm sure a $20 over one month will pay back dividends in the understanding of how/what/whether comes next. I'm just asking for advice about those $20 (or $40 or $80 or however much they end up being)
- gtani 10y agoWell, there's not much price pressure from azure, you could try the others in nvidia's list: https://www.reddit.com/r/MachineLearning/comments/46ict5/best_cloud_server_hosts_for_machine_learning/ https://www.reddit.com/r/MachineLearning/comments/46ict5/bes... Also watch spot price instances, go on weekends: https://ec2price.com/?product=Linux/UNIX&type=g2.2xlarge®ion=us-east-1&window=10 https://ec2price.com/?product=Linux/UNIX&type=g2.2xlarge®...