![]() NVIDIA GeForce RTX 3060 Ti (8GB GeForce 471.11) NVIDIA GeForce RTX 3070 (8GB GeForce 471.11) NVIDIA GeForce RTX 3070 Ti (8GB GeForce 471.11) NVIDIA GeForce RTX 3080 (10GB GeForce 471.11) NVIDIA GeForce RTX 3080 Ti (12GB GeForce 471.11) ![]() NVIDIA GeForce RTX 3090 (24GB GeForce 471.11) We’re hopeful next-gen cards will be even more generous with memory sizes.Ĭorsair Vengeance RGB Pro (CMW32GX4M4C3200C16)ĪMD Radeon RX 6900 XT (16GB Adrenalin 21.5.2)ĪMD Radeon RX 6800 XT (16GB Adrenalin 21.5.2)ĪMD Radeon RX 6800 (16GB Adrenalin 21.5.2)ĪMD Radeon RX 6700 XT (12GB Adrenalin 21.5.2) While it’s more memory, it’s also slower memory, with the 3060 Ti offering about 25% better bandwidth – but at the expense of a smaller frame buffer. The RTX 3060 could be intriguing to those who want 12GB on the cheap, but the performance seen throughout our graphs will show that it does come at the expense of falling further behind the RTX 3060 Ti than you might imagine, based on paper specs. The 3080 Ti, with its 12GB frame buffer, also becomes an alluring choice, with anything under that providing a more modest 10GB or 8GB frame buffer. Nonetheless, the de facto “ultimate” GPU from NVIDIA is the GeForce RTX 3090, as it offers a monstrous frame buffer, and plenty of bandwidth to go along with it. We can only hope this continues to trend, and we can return to normalcy sooner than later. Fortunately, it seems like there is some light at the end of the tunnel, with decreased cryptocurrency mining gains starting to result in better prices online from third parties. NVIDIA’s current-gen lineup is more complete than AMD’s, although with the market being what it is, even the lower-end parts are going for much higher prices on the market than they should be. NVIDIA’s GeForce Creator & Gaming GPU Lineup However, that bigger frame buffer comes at the expense of weaker bandwidth, with NVIDIA taking a lead there thanks to its use of GDDR6X. One of the biggest perks to AMD’s lineup is the amount of memory offered on the top-end cards, easily beating NVIDIA’s similarly-priced options. Unfortunately, some of those still exist with the current RDNA2 generation, but they’re less common. That’s not something we’d suggest if you’re a heavy Blender user, as we’ve encountered stability issues in the past. ![]() We recently did a round of testing in Blender and other renderers for a recent article, but since that was published, we decided to redo all of our 2.93 testing on an AMD Ryzen 9 5950X platform to ensure that our CPU isn’t going to be a bottleneck for the viewport tests.īefore we jump into performance, here’s a quick overview of AMD’s and NVIDIA’s current lineups:Ĭurrently, AMD doesn’t offer a current-gen GPU for under $479, which means for anything less expensive, you’d need to go back to the original RDNA generation. 2.93 isn’t just the final 2.X release, it’s also an LTS release, ensuring that users who adopt it will be able to expect minor updates (including security) until the release of the next LTS (likely two years from now).Īs we usually do, we’re diving into Blender 2.93’s performance in this article, taking a look at both rendering (to the CPU and GPU), and viewport performance (on the next page). If you want to really get your hands dirty, you could also hit up the even more detailed release notes page. To get a fuller look at what’s new to 2.93, you should check out the official features page. If you’re a Grease Pencil user, you’ll likely also want to quickly move to 2.93, as major updates also hit that, including efficiency improvements, and the ability to export to SVG or PDF to further edit in other applications. As you’ll see in our respective performance graph below, there have also been notable performance improvements that makes it essential to upgrade to 2.93 if you use EEVEE in your workflow. Also new in Blender 2.93 are EEVEE upgrades, which involve a rewritten depth of field algorithm that improves accuracy.
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