There are two aspects of a video card that impact render capabilities: the raw speed of the GPU itself and the amount of memory on the card. If you select GPU rendering, Cycles 4D uses the graphics card’s memory when the scene is rendered. This is really sad news for AMD users in general and OptiX in particular. However, similar to his brother Cycles, they aren’t as fast as NVIDIA cards. In case you are using Cinema4D with Octane, this render engine only supports NVIDIA cards. If you are using Cycles4D – the perfect partner for X-particles, AMD graphics cards are supported. So unless you know you’ll use X-Particles only to create fluid sims, you should stick to high-clocking mainstream CPUs with a moderate Core-Count.Ĭonclusion: According to the above Scores, we suggest a mainstream high-clocking CPU ( W-2245, 5900X, 5950X, 10900k) for most cases. Let’s take a look at these two recommended CPUs: ProcessorĪs can be deducted from the Benchmarks above, most of X-Particles Features benefit more from high clocks than from lots of cores. On the Intel side of things, the Xeon W-2245 CPU is excellent for X-Particles, although both have “only” 8-12 Cores. Right now, great allrounder CPUs for X-Particles are the AMD Ryzen 9 5900X and 5950X with 12 to 16 Cores that have high single-core performance. That’s just how thermal and power limits work. The more cores a CPU has, the lower it usually clocks. As you see, only 40% CPU Utilization took when building Fluid Sim caches in X-Particles on a 64 Core-Count CPU.
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