Blendergrid

Automatically sync on-premises asset files to Amazon Simple Storage Service (S3), ensuring availability in the cloud. Synchronize with local servers, manage data transfers before rendering begins, and tag accounts and instances for bill allocation. Purchase usage-based software licenses, bring your own licenses, or use a combination of both to create third-party digital content. Leverage Amazon Elastic Compute Cloud (EC2) Spot Instances to save up to 90% compared to on-demand pricing. Set up a render farm in minutes, run more projects in parallel, and improve cost control. Generate a hybrid or cloud-based render farm and scale to thousands of cores in minutes with the AWS Portal. Build, tailor, and deploy render farms with the Render Farm Deployment Kit (RFDK) using familiar programming languages, such as Python. Use the Jigsaw tool to render very high-resolution images faster by distributing them across multiple machines.

Our GPU farm consists of many individual systems, each with 2 Nvidia GTX 1060, GTX 1070, or RTX 2060 Super GPUs. Each GPU has 6GB or 8GB of VRAM. GPU nodes have 32 to 64GB of system memory. During our search for a good render farm service, we began taking a critical look at how other farms operated. We quickly discovered several ways to increase accessibility, affordability, and security in every aspect of your render farm experience. Pixel Plow is the continuation of our effort to provide this experience in a simple, competitive package. With thousands of clients in over 90 countries around the world, Pixel Plow is quickly becoming a dominant force in the cloud rendering industry. Our instances of 3D Studio Max, Maya, Lightwave, Modo, Blender, Terragen, are the same as what you run on your computer. An appropriately prepared scene file sent to us will deliver an exact copy of what you can render locally, again assuming we support all of the software you need for your scene.