This processor supports two graphics cards at once.
This processor supports two graphics cards at once.
You're setting up a home deep learning setup with specific hardware choices. The AMD Ryzen 9 3900X offers 24 PCIe lanes, which should comfortably support dual GPUs if needed. The NVLink feature on your RTX series can enhance data transfer between the GPU and CPU, improving performance for compute-intensive tasks. Using a 1TB NVMe SSD with 4.0 speeds up data access, while a 4TB HDD provides ample storage for large datasets. You're planning to start with one GPU but may expand later—consider future-proofing by keeping PCIe lanes available. If dual-GPU isn't feasible on the 3900X, upgrading to a Threadripper 3960X would be a viable option despite the cost. The total lane bandwidth should accommodate your configuration, especially with 24 lanes dedicated to the CPU and GPUs. Your motherboard's PCIe lanes will also need to support the required bandwidth for both the CPU and GPUs.
all ryzen models work with sli, just ensure your motherboard has a x series chipset featuring an x570. a pcie 4.0 with double the bandwidth is ideal—roughly two rtx cards at pcie 3.0 can handle about 16 lanes, leaving you with four unused lanes. i’m not sure if built-in wifi uses those lanes, but it’s worth checking the specs.
Sli/crossfire/Nvlink is already established and shouldn't cause problems. It's recommended to look for a board with 2x16 PCIe slots.
The 3950x is costly, so I require additional GPU since it will handle more computations.
Choose a Ryzen 7 3700X, ASUS Crosshair VIII Hero, and a 2080 to. Many applications still don’t work well.
The video was designed for the PCI e component, not just the CPU; the NVMe SSD requires PCI e while the remaining parts use SATA ports.
NVlink was originally built for workstation applications and varies based on the specific deep learning algorithms or programs you're using. What I understand is that having more cores, RAM, or storage capacity generally improves performance.