# Video Enhance AI - Multi-instancing performance **URL:** \ **Category:** Video Enhance AI\ **Created:** [November 17, 2021, 1:33am UTC](https://community.topazlabs.com/t/video-enhance-ai-multi-instancing-performance/27893 "2021-11-17T01:33:20Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![flatsphere](https://community.topazlabs.com/letter_avatar_proxy/v4/letter/f/ecccb3/32.png) [@flatsphere](https://community.topazlabs.com/u/flatsphere)\ **Post date:** [November 17, 2021, 1:33am UTC](https://community.topazlabs.com/t/video-enhance-ai-multi-instancing-performance/27893/1 "2021-11-17T01:33:20Z")
Hi All, I read that you can get better performance by running multiple instances of Video Enhance AI. I also read that the process takes no more than 6GB VRAM (at least for an SD/720 to 1080P upscale - presumably it uses a lot more the higher up you go). Question for someone that actually has an RTX 3090 or A5000 (something with 24GB VRAM). At 6GB a pop, you should be able to run 4 x instances of VEAI. Is this correct and is it roughly 4 x the performance of one instance, provided you have a decent CPU (I’ve got a 10850K, technically I could assign 2 x 4.8Ghz cores to each instance and have 2 left over for general system usage). Thank you ---
**Author:** ![neoset.net](https://community.topazlabs.com/letter_avatar_proxy/v4/letter/n/b2d939/32.png) [@neoset.net](https://community.topazlabs.com/u/neoset.net)\ **Post date:** [June 2, 2022, 12:01pm UTC](https://community.topazlabs.com/t/video-enhance-ai-multi-instancing-performance/27893/2 "2022-06-02T12:01:06Z")
We use a Ryzen 9 5900X 12-core; 128gb RAM and an RTX3090. I did the test this morning: I can’t get better performance with multiple instances of the software. With two instances, it is twice slower, with three instances, 3 times slower. For info we’re porcessing Sony Venice-made 6K files (converted to Prores422HQ on input). Maybe I’m doing something wrong, though. If someone has a tip, I would be more than happy to learn… ---
**Author:** ![neoset.net](https://community.topazlabs.com/letter_avatar_proxy/v4/letter/n/b2d939/32.png) [@neoset.net](https://community.topazlabs.com/u/neoset.net)\ **Post date:** [June 7, 2022, 9:28am UTC](https://community.topazlabs.com/t/video-enhance-ai-multi-instancing-performance/27893/3 "2022-06-07T09:28:25Z")
Well I did another test on another system, and it is working well: the other system is a 24-cores/48threads Threadripper with 128Gb RAM and TWO graphic cards: one Quadro RTX6000 and one Quadro RTX4000. Now with “Use all GPU” enabled, I can launch 2 or 3 differents instances of VEAI and I get a huge boost in performance → you only get better performance if you’re using different instances if you’re using more than 1 GPU. So the key is to have at least 2 GPU: with that combo of an RTX6000 + an RTX4000 (which are, under the hood, really just a Geforce Titan (ie: 2080TI with 24Gb RAM) and a Geforce 2070 = ok cards but not the absolute top-notch), I get almost TWICE the performance of a single 3090, it’s crazy! So I guess that with 3 budget-friendly GPUs or more, one would really get insane performance. I found that launching 3 instances of VEAI gives you the best performance. It’s a little better than two instances, and much, much better than only one. 4 instances gives no advantages and is less stable (uses more CPU). Note that you can leaves all instances with the “use all GPU” option. I tried asking one instance to use the RTX4000 and the other the RTX6000: it’s not good, performance is poor. And just for fun I also tried the “CPU” mode on the Threadripper: well, uh, don’t: it is at least 30x slower than on the GPU. I think we’re now more or less building a “render farm” of VEAI. In the following months, we will probably build a machine with as much GPU as we can cram inside, so we can speed up the process a bit. Will update! Have fun, Alex NEOSET