Install rtx voice8/14/2023 It's not your fault, Nvidia does dance around the subject a bit. You might think the latter would be required for RTX Voice. ![]() ![]() The RT Cores accelerate ray tracing workloads, while the Tensor Cores are used for AI workloads-such as DLSS or denoising ray-traced scenes. The latest architecture to grace GeForce graphics cards comes with two new additions to the silicon: RT Cores and Tensor Cores. There's also the fact that RTX Voice may not be utilising the Turing architecture's AI capabilities to their fullest. You can lend Nvidia a hand with improving the AI-it only takes 15 seconds. And we shouldn't forget this is a beta-Nvidia is actively seeking feedback for improvement. I suspect Nvidia fast-tracked development of RTX Voice in order to meet the potential global demand for such an app. Perhaps that's something to do with its high quality output, but maybe it's simply not quite as optimised as its competition. ![]() In theory, that's a load lifted from the CPU and shared across the GPU's highly-parallel (great for AI) cores-but perhaps not in practice.īut when Krisp-both as a standalone app and via Discord-is often found hovering around the 2-3% CPU utilisation with no added GPU utilisation, it's clear that RTX Voice is the more intensive application. The workload is instead somewhat shared between CPU and GPU, and GPU utilisation bobs around the 1.1-1.5% mark during desktop testing. (Not my Core i7 9700K, anyways-your mileage may vary). With CPU utilisation roughly 2-3% with the application enabled, it's fair to say that Nvidia's GPU-accelerated application isn't overwhelmingly intensive on CPU performance.
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