Dual GPU Training Build
Two RTX 5090 cards give 64 GB of combined VRAM for training runs and big inference jobs, with a 16 core CPU feeding them and a Gen5 drive for checkpoints.
Parts list
| Part | Category | Key specs | US price in our data |
|---|---|---|---|
| NVIDIA GeForce RTX 5090 x2 | GPUs | 32 GB VRAM · 3352 TOPS · 575 W | $1,999 (NVIDIA MSRP) |
| AMD Ryzen 9 9950X3D | CPUs | 16 cores · 17 W | $699 (AMD MSRP) |
| G.Skill Trident Z5 RGB 64GB DDR5 6000 CL36 | RAM | 64 GB RAM | $1,069.99 (Amazon) |
| Crucial T705 2TB | Storage | 2 TB | $399 (Amazon) |
The total is the sum of the US prices listed in our dataset for these parts, nothing added and nothing estimated. Street prices move; check the stores before you buy.
Why these parts
Combined VRAM is not pooled memory for a single model unless your framework shards across cards, but for data parallel training and parallel inference replicas, 64 GB across two cards is a serious home lab. Budget for a 1600 W class power supply and a case with real airflow.
Not sure which size of build you need? Run the VRAM Fit Checker with your model and precision, then come back to the parts list that matches. Store options are in the retailer directory by state.
Supporting parts in the directory
These boards, power, case and cooling picks complete the build. Our dataset does not carry US list prices for them yet, so they are not in the total. ASRock B650 Pro RS · ASRock B650E Taichi · ASUS ROG Loki 1000W SFX-L Platinum · ASUS ROG Strix 1000W Platinum · ASUS ProArt PA602 · ASUS ROG Hyperion GR701 · ASUS ROG Ryujin III 360 ARGB · ASUS ROG Strix LC III 360 ARGB