With the ability to put the power of a network CPU render farm directly in your system and at a fraction of the cost, it is not hard to see why. In recent years the popularity of GPU rendering has snowballed. By matching the memory capacities, this ensures there is plenty of available RAM to open scenes correctly and that no memory bottlenecks will occur. We also recommended that customers should configure their render nodes system RAM to match that of your modelling machines.
#Chaos group vray install
We advise our customers to install fast networking of Gigabit or better speeds to reduce the impact of time spent sending render jobs over the network. These types of solutions are perfect for server/rackmount environments. Enterprise-class Intel Xeon and AMD EPYC processors are designed specifically for 24/7 rigours use and designed specifically for the datacentre workloads. Intel Xeon and AMD EPYC based solutions are ideal for this purpose. With modelling no longer, a concern for your CPU rendering based systems we recommend a solution with higher cores and threads. By having a central pool of systems dedicated to rendering, this offers the benefits of being very scalable, robust redundancy, centralised administration, fast render times and you able to tailor your modelling/rendering systems more specifically to their intended use. Traditionally larger production houses with multiple users have taken advantage of Networked CPU based render farms. 2) V-Ray Next Networked Distributed CPU Rendering We recommend a high core count Intel Core i9 X-Series processors or AMD Threadripper based systems to achieve the right balance of rendering and modelling performance. Balancing core counts and clockspeed is critically important in this scenario. 3D modelling is a highly single-threaded task, and as a result, will only require a single high-speed core. If you have selected to render locally, then it is highly likely you will also produce the 3D designs on the same machine. Rendering is known as a highly multi-threaded task, which means that it can use all avaialble cores and threads simultaneously. To achieve fast renders, having a CPU with as many cores and threads as possible is critical. With this approach, the most crucial computer hardware to consider is your CPU. Rendering locally on your CPU is an excellent option for freelancers and small offices. The advantageous of performing renders directly on your systems is the relatively small setup costs, easy configuration and consistent performance. Probably the most common setup and where most people begin. Below we discuss each setup and the best way to get the most from Chaos Groups exceptional V-Ray Next platform. Each has their advantages/disadvantages and requires slightly different hardware to get the most from the solution. V-Ray Next has an extensive range of capabilities from CPU or GPU based rendering and local or networked setups.
#Chaos group vray upgrade
If you are looking to start utilising V-Ray Next or wish to upgrade your current infrastructure this guide can help you choose the right setup for you. With the right equipment renders that once took hours or days can be achieved in minutes. With the advanced capabilities of V-Ray Next, it is no surprise that visual effects artists, product designers and architects alike are using V-Ray Next to bring their visions to life.Īll these advanced features put a massive strain on computing hardware, and with the need for fast render times to meet critical deadlines this is a challenge for designers. V-Ray Next is an industry-leading rendering package that helps professionals create stunning photorealistic imagery of their virtual 3D Models. Manufacturing, Engineering & Product Design.Architectural Engineering & Construction.