With the flexibility of cloud, you can right-size your resources to match your workload.

To learn more about comparing on-premises hardware to cloud resources, see the reference article Resource mappings from on-premises hardware to Google Cloud. While this may be a good starting point, the performance of a physical render server is rarely equivalent to a VM running on a public cloud with a similar configuration. When gauging render performance on the cloud, customers sometimes reproduce their on-premises render worker configurations by building a virtual machine (VM) with the same number of CPU cores, processor frequency, memory, and GPU. To learn more about deploying rendering jobs to Google Cloud, see Building a Hybrid Render Farm. When faced with a looming deadline, these customers can leverage cloud resources to temporarily expand their fleet of render servers to help complete work within a given timeframe, a process known as burst rendering. Our smart score calculation system can benchmark hardware performance from just one-minute of rendering.For our customers who regularly perform rendering workloads such as animation or visual effects studios, there is a fixed amount of time to deliver a project.

Test one or any combination of GPUs to see how the performance scales. The linear scoring results system makes comparisons easier for example, a processor which is twice as good should have double the score.Ĭompare the results of GPUs, CPUs or any combination of processing units available.

With the new smart scoring system, hardware performance capabilities are easily comparable. Test your hardware with the performance of V-Ray Next.Ĭreated for V-Ray Next and designed to put even the most powerful hardware to the test. Hope you liked this VRay NEXT Benchmark video tutorial, this is easy to do just to see if your hardware and software upto 2019 standards. Use VRay NEXT Benchmark to check what your computer capable of doing and where it’s ranked in that table?

Vray render test