![]() Is this 8c/16 threads speed comparable to something like new NVidia 4** series? Approx. Are these Amazon instances well described on ? I’ve heard about them 1st time I’ve seen some video from this year Blender Conference. OK, that’s a good new about this limit and zip acceptance!ĭon’t want to bother you a lot. ![]() zip files with relative files, so I suppose a cache could work (will test later) except that the overall file limit is 500MB.Īt ~$0.27/hour, it takes 4min 20sec to render what takes my Quad Core i5 750 3GHz ~41min to render You can use “nohup &” to stop the terminal connection killing the render if there is a network disconnection.Īs a speed comparison, I’m using the cc2.8xlarge instance, which has 8 cores/16 threads, 60GB ram and over 500GB storage space.Īt ~$0.27/hour, it takes 4min 20sec to render what takes my Quad Core i5 750 3GHz ~41min to not sure exactly about how well it works with caches, but I do know that it supports uploading. “java -cp farm-client-.jar .FermeDeRendu MYLOGIN MYPASSWORD”Īs this logs in with your username and password and auto renders your own projects first. ![]() Once your connected, I simply use 2 commands:Īs this downloads the render farm manager (that auto downloads scenes and blender). The first step is to launch some Amazon instances (if you sign up, the c1.xlarge are 7c/hour spot pricing, with 8 cores) and ssh into them (I use Putty from Windows) Have you much experience with Linux or command lines in general? zip files with relative files, so I suppose a cache could work (will test later) except that the overall file limit is 500MB. L'Alliance Francophone, une Communaut pour la Science. And is it feature full? Can it “suck in” cache files not sure exactly about how well it works with caches, but I do know that it supports uploading. Can you give me some URLs on how to use Amazon EC2 with Sheep-it? A kind of FAQ or something… I’m not familiar with this but it’s interesting. I want to do something like this in a future. ![]() Good value given 70c/hour AUD gives me 10 c1.xlarge Amazon instances, each having 2x Quad Core E5410 Xeon Processors, for 80 Cores at 2.33 GHz Basically using the sheep-it system to manage the distribution and collection of my animation for me. This enables me to add cloud compute nodes that will render my own uploaded projects first, (earn extra credits) and easily combine my PC with extra instances to render my own stuff quicly. What else I like, is that you render your animation first, so I can upload an animation, render it on my 3 PC’s, and have other people render it as well.Įdit: Currently testing, I’ve launched 10 Amazon EC2 instances, using the Sheep-it command line render farm program. One thing however, because of the credits (which I like) your better off putting some time in BEFORE you need to render, otherwise you may have to wait a bit to get your animation rendered. I’ve rendered 1 project on it to test, and have volunteered about 30 hours for it, seems quite decent. ![]()
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