V-Ray is a powerful rendering software that enables professionals to produce realistic images of their 3D models. However, rendering high-quality images requires many computing resources, slowing your workflow and affecting your deadlines. To speed up your rendering process, you must have the right Workstations for V-Ray or networked server hardware to assist.
The complexity and versatility of V-Ray demands a lot from your hardware. You need to tailor your workstation for V-Ray to get faster results. Depending on your needs and preferences, you can choose between CPU or GPU rendering, local or networked configurations, or a combination. Each option has pros and cons and requires specific hardware components to work efficiently. This guide will help you find the best setup for your V-Ray projects.
Local CPU Rendering On Your V-Ray Workstation
You must first decide the CPU platform you want to use for your V-Ray Workstation. The benefits of rendering locally on your CPU are the low initial costs, simple setup and reliable performance. This is a great option for solo artists and small studios.
Your CPU is the key hardware component for this option. It would help to have a CPU with many cores and threads to accelerate your renders. Rendering can use multiple cores and threads to render different parts of a scene at once. So the more cores and threads you have, the faster you can get results.
However, if you also create your 3D models on the same machine, you need to consider the single-core performance of your CPU. 3D modelling only uses one core at a time, so you need a fast clock speed to work smoothly. In this case, finding the right balance between core count and clock speed is essential. We suggest using a high-core Intel® Xeon® W-Series processor or AMD Ryzen™ Threadripper™ Pro system to get the best of both worlds.
V-Ray Networked Distributed CPU Rendering
A common solution for larger studios with multiple users is to use a Networked CPU-based render farm. This option allows you to make use of many systems to render your scene, giving you the advantages of high scalability, strong redundancy, easy management, and fast render times. You can also optimize your modelling/rendering systems to their specific tasks.
We recommend using Intel® Xeon® Scalable or AMD EPYC™ server solutions for this option. These enterprise-class processors are designed for heavy-duty use and data centre workloads. They are ideal for 24/7 server workloads and rackmount environments.
We also suggest fast networking to minimize the time spent transferring render jobs over the network. Additionally, we advise that you match the RAM capacities of your networked rendering systems and your modelling machines. This way, you can avoid memory bottlenecks.
Local GPU Rendering On Your V-Ray Workstation
GPU rendering has become very popular in recent years. It allows you to have the power of a network CPU render farm in your system at a much lower cost. You can use up to 4x high-performance graphics cards in a tower V-Ray workstation, equivalent to dozens of CPU render nodes.
We suggest using NVIDIA GeForce RTX graphics cards for GPU rendering in V-Ray because they are very powerful, supported by V-Ray and offer great value for money.
Ensure each graphics card has enough onboard memory to handle your scene; otherwise, GPU rendering will not work. If NVIDIA GeForce RTX does not have enough VRAM for your needs, then look at the professional NVIDIA RTX Workstation graphics range. They may offer less performance per dollar, but they provide large amounts of onboard graphical memory.
Also, you should equip your system with the latest NVIDIA RTX graphics cards. The RTX range has dedicated Ray Tracing cores to speed up Ray Tracing rendering with V-Ray.
V-Ray Networked Distributed GPU Rendering
A networked GPU render farm combines the advantages of a networked CPU farm with the speed of GPU’s. This is the fastest option for rendering large scenes. Servers can have up to 8x GPUs each and are fully scalable. This means you can cluster many network servers to work together on your renders.
A network GPU render farm is the most cost-effective option for large-scale render farms. Because a single GPU server can provide high density and performance, you need fewer systems overall. Using multiple CPU-based systems to match the power of a single GPU render node can be very expensive and wasteful, as well as taking up more physical rack space.
V-Ray is a powerful tool that can produce amazing images for various uses. The versatile rendering options the tool offers can make it hard to choose how to set up your Workstation for V-Ray.
Contact our consultancy team today if you need more guidance on which solution suits your needs best. We are experts in helping clients find and deliver the ideal hardware solution for their projects.