I'm planning my first PC build for September in Spain and would appreciate feedback before buying anything. I'm a VFX and 3D-art student, and I'll mainly use Houdini for heavy simulations, along with Maya, Nuke, video-editing software, and some gaming.
My maximum budget is €6,000, although I'd ideally like to stay below €5,000. I selected these parts after speaking with professors and a computer-store manager. I'm considering having the store assemble it, but I may build it myself with a friend if that gives me better pricing or component choices. I haven't chosen a monitor yet and may purchase one separately.
Current parts list:
- CPU: AMD Ryzen Threadripper 7960X
- Motherboard: ASUS Pro WS TRX50-SAGE WIFI
- Memory: 128 GB (4 × 32 GB) DDR5 ECC RDIMM-5600 CL40
- Case: Fractal Design North XL
- CPU cooler: Arctic Liquid Freezer WS360-SP6 360 mm
- Power supply: ASRock Phantom Gaming 1600 W 80+ Gold modular
- GPU: MSI GeForce RTX 5080 Gaming Trio OC
- Storage: 2 × WD Black SN7100 2 TB NVMe SSDs
- Additional fans: 2 × Arctic P14 Pro PST 140 mm
Is this balanced for Houdini simulations and general VFX work, or are there parts I should change to get better performance and value?
3 Answers
Before committing to Threadripper, think carefully about what workloads benefit from it. It provides lots of cores and memory bandwidth, which can be useful for heavy CPU-based Houdini simulations, but it is a very expensive platform and may not be much faster than a high-end mainstream CPU for every task.
For gaming and many GPU-accelerated workloads, more of the budget may be better spent on the graphics card. Check whether your Houdini rendering and plugins use CUDA or GPU acceleration, then compare the performance of a Threadripper system with a high-end consumer CPU and a stronger GPU. A 1600 W PSU is especially hard to justify unless you plan to run several graphics cards.
The overall direction makes sense for a workstation, but don’t assume the most expensive parts automatically make the best build. Prioritize the parts that match your actual Houdini workflow: simulation cache size and CPU scaling for CPU simulations, GPU memory and CUDA support for GPU rendering, and fast storage for caches and project files.
You could also compare the RTX 5080 against other high-end GPUs, including a previous-generation flagship if one is substantially cheaper. Keep enough SSD capacity for active caches, and verify that the motherboard, ECC RDIMM memory, cooler, and case are all explicitly compatible before ordering.
It’s worth entering the parts into a Spanish price-comparison configurator first. That will show whether the store’s assembly fee and component prices are reasonable, and it may reveal cheaper alternatives.
The 1600 W power supply is excessive for a single RTX 5080. Nvidia’s recommended capacity is much lower, and a good 1000 W unit should provide plenty of headroom. A higher-capacity supply only makes sense if you expect to add multiple GPUs or other unusually power-hungry hardware.
Also confirm how much memory your actual Houdini projects use. If your simulations fit comfortably in 64 GB, starting there could save a substantial amount. However, 128 GB is reasonable if your professors and classmates know the scale of the work you’ll be doing.
Several professors and classmates recommended 128 GB because of the simulations I’m likely to work on. It is expensive, though, so I’ll try to check the memory usage of similar projects before deciding.