V-Ray is one of the most widely deployed production renderers in architecture, product visualization, and VFX. It supports both CPU and GPU rendering, giving studios the flexibility to match hardware investment to project requirements. V-Ray GPU rendering on NVIDIA CUDA is significantly faster than CPU rendering for scenes that fit in VRAM. V-Ray CPU rendering scales with core count and handles scenes of any complexity. Understanding which mode fits your workflow determines the right hardware investment.


V-Ray CPU vs GPU rendering: choosing your mode

V-Ray CPU (V-Ray, formerly V-Ray RT CPU) runs on all available CPU cores. It handles scenes of unlimited complexity since system RAM provides effectively unlimited scene capacity. Ray-traced results are accurate. Render times scale proportionally with core count — twice the cores means approximately half the render time. For scenes with dense geometry, very high-resolution displacement, and many millions of polygons, CPU rendering often handles what GPU cannot fit in VRAM.

V-Ray GPU (V-Ray GPU CUDA or RTX) runs on NVIDIA GPUs and is significantly faster than CPU rendering on scenes that fit in GPU VRAM. V-Ray GPU supports out-of-core rendering when scenes exceed VRAM, but performance degrades substantially in that mode. For most architectural visualization and product rendering workflows where scenes are manageable in size, V-Ray GPU delivers production output 3–8× faster than CPU rendering.

VRAM requirements for V-Ray GPU

Scene typeVRAM neededRecommended GPU
Product visualization, standard materials8–12GBRTX 5080 (16GB)
Architectural interior, 4K textures16–24GBRTX 5090 (32GB)
Large exterior, many instanced objects24–40GBRTX 5090 (32GB)
Film-quality VFX, complex displacement40–80GBRTX PRO 6000 (96GB)

CPU for V-Ray CPU rendering

V-Ray CPU rendering scales nearly linearly with core count. The AMD Threadripper PRO 9995WX with 96 cores renders V-Ray CPU scenes in approximately one-sixth the time of a 16-core workstation. For studios that primarily use V-Ray CPU for production rendering — either by choice or because scenes exceed GPU VRAM — core count is the primary investment. The Ryzen 9 9950X at 16 cores is appropriate for individual artists; Threadripper PRO is the right choice for production studios with turnaround requirements.

Recommended configurations

Architectural visualization — V-Ray GPU primary

  • GPU: NVIDIA RTX 5090 (32GB GDDR7)
  • CPU: AMD Ryzen 9 9950X
  • RAM: 64GB DDR5
  • NVMe: 1TB OS + 4TB projects and assets

Production studio — large scenes, V-Ray CPU primary

  • GPU: NVIDIA RTX 5090 (for viewport and GPU preview)
  • CPU: AMD Threadripper PRO 9995WX (96 cores)
  • RAM: 128GB DDR5
  • NVMe: High-capacity for large scene files and asset libraries

Browse V-Ray rendering workstation configurations on the VRLA Tech V-Ray Workstation page.

Tell us your workflow

Share your primary applications and workload requirements. We configure the right system for your exact needs.

Talk to a VRLA Tech engineer →


V-Ray workstations. GPU and CPU rendering covered.

3-year parts warranty. Lifetime US engineer support.

Browse workstations →


VRLA Tech has been building custom workstations since 2016. All systems ship with a 3-year parts warranty and lifetime US-based engineer support.

Leave a Reply

Your email address will not be published. Required fields are marked *

NOTIFY ME We will inform you when the product arrives in stock. Please leave your valid email address below.
U.S Based Support
Based in Los Angeles, our U.S.-based engineering team supports customers across the United States, Canada, and globally. You get direct access to real engineers, fast response times, and rapid deployment with reliable parts availability and professional service for mission-critical systems.
Expert Guidance You Can Trust
Companies rely on our engineering team for optimal hardware configuration, CUDA and model compatibility, thermal and airflow planning, and AI workload sizing to avoid bottlenecks. The result is a precisely built system that maximizes performance, prevents misconfigurations, and eliminates unnecessary hardware overspend.
Reliable 24/7 Performance
Every system is fully tested, thermally validated, and burn-in certified to ensure reliable 24/7 operation. Built for long AI training cycles and production workloads, these enterprise-grade workstations minimize downtime, reduce failure risk, and deliver consistent performance for mission-critical teams.
Future Proof Hardware
Built for AI training, machine learning, and data-intensive workloads, our high-performance workstations eliminate bottlenecks, reduce training time, and accelerate deployment. Designed for enterprise teams, these scalable systems deliver faster iteration, reliable performance, and future-ready infrastructure for demanding production environments.
Engineers Need Faster Iteration
Slow training slows product velocity. Our high-performance systems eliminate queues and throttling, enabling instant experimentation. Faster iteration and shorter shipping cycles keep engineers unblocked, operating at startup speed while meeting enterprise demands for reliability, scalability, and long-term growth today globally.
Cloud Cost are Insane
Cloud GPUs are convenient, until they become your largest monthly expense. Our workstations and servers often pay for themselves in 4–8 weeks, giving you predictable, fixed-cost compute with no surprise billing and no resource throttling.