Any ideas on where I can cut costs without losing performance? Any way to increase performance without increasing costs?
1 hour ago, Jayson Meribe said:
I will be using pytorch to work on machine learning generally.
So Tensorflow-like algorithm, mainly on CUDA. Got it.
CPU: Intel Core i5-13600KF 3.5 GHz 14-Core Processor ($296.49 @ Amazon)
CPU Cooler: Deepcool AK620 ZERO DARK 68.99 CFM CPU Cooler ($69.98 @ Amazon)
Motherboard: MSI MAG B660M BAZOOKA DDR4 Micro ATX LGA1700 Motherboard ($129.99 @ Amazon)
Memory: G.Skill Ripjaws V 128 GB (4 x 32 GB) DDR4-3600 CL18 Memory ($289.99 @ Amazon)
Storage: Samsung 970 Evo Plus 2 TB M.2-2280 PCIe 3.0 X4 NVME Solid State Drive ($129.99 @ Adorama)
Video Card: MSI GAMING TRIO GeForce RTX 4090 24 GB Video Card ($1614.98 @ Newegg)
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Do be noted that this is a fringe topic in this forum and this should be taken with a grain of salt as im trying to learn what makes each common ML work tick.
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