In the tests, we ran only the GPU segment of the test using one or two GPUs (not hybrid rendering with the i9-9900k). In our first test, we ran the V-Ray Next 4.10.05 GPU benchmark on both the single and dual card setups to get a good idea of both the scaling and relative speed of the cards. Meanwhile, the viewport GPU can be at 8x, compared to a non-PCIe switch setup where the cards would be at 8x/4x/4x.
Alternatively, if you want to add a less powerful third graphics card to edit scenes in the viewport and run your monitors while you use the other two GPUs for rendering, the PCIe switch will keep the rendering GPUs at 16x and 8x. However, the Enigma S3 is designed for multi-GPU setups so the motherboard includes a PCIe switch that can provide each of the GPUs with up to the full 16 PCIe lanes to communicate with the CPU. To ensure that the I/O and memory of the system were not causing any bottlenecks, each configuration was tested with 64GB of Samsung DDR4 at 2666 MHz and a Samsung 970 Pro 512 GB NVMe SSD.īecause the 9 th Gen Intel processors used in this workstation only have 16 PCIe lanes to communicate with PCIe devices, normally if you were to use two GPUs the 16 lanes would be split into two 8x connections for each of the GPUs. This Enigma S3 is powered by an overclocked Intel i9-9900k, a perfect combination of clock speed and thread count excellent for driving GPU rendering and viewport manipulation that can also be used for hybrid rendering if you want an extra speed boost. To better understand the functionality of NVLink in V-Ray, we tested four of the top NVIDIA GPUs in the APEXX Enigma S3, a BOXX workstation designed specifically for dual-card GPU rendering. With these recent advancements, GPU rendering is becoming a more and more viable solution, retaining its speed advantage over CPU rendering while increasing the capacity for complex professional renders. Even if you don’t need a full 96 GB of VRAM, NVLink has now made it extremely affordable to get 22 GB of VRAM with two RTX 2080 Tis - at a third of the price of the past generation 24 GB option and offering over twice the performance. However, with last year’s launch of the RTX GPUs and the introduction of NVLink to the Quadro, Titan, and GeForce lines, it is possible to have nearly 96 GB of VRAM available for rendering when using two Quadro RTX 8000s due to the memory pooling capabilities of NVLink. In the past, even the top GPUs had only 24 or 32GB of VRAM, compared to CPU rendering workstations that could easily pack 128GB or more of RAM. The main drawback to GPU rendering is the limited VRAM for each GPU. In addition, a GPU rendering workstation is much more flexible and scalable than a CPU workstation, with many being able to fit two, four, or even eight GPUs. As GPU technology has advanced over the years, GPU rendering has become more advanced and popular due to its speed advantage over CPUs in visual rendering.
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