Multi-GPU Arc reveals a new Hyper Encode option in HandBrake which doesn’t work (in this case) Adding a second GPU should always dramatically reduce render times.Įven still, assuming multi-GPU will work doesn’t mean that Intel’s added the proper polish to its driver alongside the major launch of its first-gen Arcs – though, thankfully, it has: As these are straight-forward compute workloads, there are no issues of weak (or worsened) performance as we’ve seen in games when utilizing multiple GPUs via AMD’s CrossFire or NVIDIA’s SLI. NVIDIA GeForce RTX 4090 (24GB GeForce 521.90) NVIDIA GeForce RTX 3090 (24GB GeForce 516.94) NVIDIA GeForce RTX 3080 Ti (12GB GeForce 516.94) NVIDIA GeForce RTX 3080 (10GB GeForce 516.94) NVIDIA GeForce RTX 3070 Ti (8GB GeForce 516.94) NVIDIA GeForce RTX 3070 (8GB GeForce 516.94) NVIDIA GeForce RTX 3060 Ti (8GB GeForce 516.94) NVIDIA GeForce RTX 3060 (12GB GeForce 516.94) NVIDIA GeForce RTX 3050 (8GB GeForce 516.94)Īll product links in this table are affiliated, and help support our work.Īs mentioned above, rendering is one type of workload where you can safely expect that multiple CPUs or GPUs will be utilized to great effect. Before getting to those results and some discussion on tests, here’s a quick look at our test PC’s configuration:ĪMD Radeon RX 6900 XT (16GB Adrenalin 22.9.1) AMD Radeon RX 6800 XT (16GB Adrenalin 22.9.1) AMD Radeon RX 6800 (16GB Adrenalin 22.9.1) AMD Radeon RX 6700 XT (12GB Adrenalin 22.9.1) AMD Radeon RX 6600 XT (8GB Adrenalin 22.9.1) AMD Radeon RX 6600 (8GB Adrenalin 22.9.1) AMD Radeon RX 6500 XT (4GB Adrenalin 22.9.1) We tested every single one of the workloads from our Arc launch articles in a dual-GPU setup, and you may find yourself surprised by some of the results. While it’s effectively implied that rendering workloads will always support multi-GPU, those are not the only benefiting workloads that exist. In putting together this article, we also had a chance to double-check which creative applications we test with can even use multiple GPUs. We’re not sure how much focus Intel has had on multi-GPU performance for Arc, but the performance results below will help paint us a nice picture. In this article, we’re taking a look at a more unique angle of Arc: multi-GPU. That will include a look at Linux gaming, as we’ve seen a number of requests for that directly to us, and around the web. Of course, we also intend to tackle gaming, as well, after our initial creator angles are covered. We plan to dive into this advanced encoding testing after the 13th-gen launches, when we can stop stressing over upcoming embargoes, and are able to spend quality time evaluating things. While we covered encoding in our Arc launch articles, we still have plans to tackle Hyper Encode soon – the mode that allows you to accelerate encoding by combining the forces of Arc discrete GPUs and Intel’s integrated graphics. This article helps fill the void for another. That might sound exhaustive, but the truth is, it feels like we’ve just scratched the surface on different performance angles to tackle. It’s been a couple of weeks since Intel launched its long-awaited top-end Arc GPUs, the A770 and A750, both of which we put through our gauntlet of tests, including rendering, encoding, photogrammetry, AI, and math.
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