I would be grateful for some comments on my PC build below for machine learning. I plan to use ML methods (mostly deep learning, but also scikit-learn) with datasets of 100K or possibly millions of data points. What do you think?
I am going to use the machine mostly for prototyping, and will deploy to the cloud to collect final data e.g. for publications.
I am going to use the machine mostly for prototyping, and will deploy to the cloud to collect final data e.g. for publications.
- CPU: AMD Ryzen 9 7900 3.7GHz 12 Core CPU - 5.4GHz Turbo
- Motherboard: Gigabyte B650 Aorus Elite AX V2
- GPU: NVidia GeForce RTX 4070 Ti SUPER 16GB
- Memory: 64GB Corsair Vengeance DDR5 5200MHz CL40 (2x32GB)
- Primary SSD: 2TB WD BLACK SN850X NVMe PCIe 4.0 SSD (7300MB/R, 6600MB/W)
- Secondary SSD: 2TB WD BLACK SN850X NVMe PCIe 4.0 SSD (7300MB/R, 6600MB/W)
- CPU Cooling: Noctua NH-D15 Chromax Pure Black CPU Cooler
- PSU: Corsair RM850x V2 850w 80 Plus Gold Fully Modular PSU.