Why and how to use Blender on Cudo Compute
Rendering in the cloud with Blender
Cudo compute is a cloud platform designed for carrying out high performance computing tasks at significantly lower prices of major cloud companies.
With cloud rendering you can use multiple servers to render simultaneously and deliver your work faster while freeing up your local workstation. Self managing your render on Cudo Compute is cheaper than using a rendering farm.
Blender can render scenes on CPU and multiple GPUs at the same time. Blender supports AMD and NVIDIA GPUs. Cudo Compute offers Nvidia RTX A4000, A5000 and A6000 GPUs paired with AMD EPYC CPUs for ultimate performance to cost ratios. NVIDIA A6000 GPUs have 48GB of VRAM allowing large scenes to be rendered on GPU. Most GPU servers only offer 4 GPUs per machine due to the high power draw. Our data centers have built specialized high power high efficiency servers that can support 8 to 10 GPUs at a time so you can render faster at lower cost. Additionally, you can split your blender into sections of frames and render on multiple servers at the same time.
Cudo Compute provides an easy to use web interface and per second billing so you only pay for what you use. Our data centers are powered by green energy at far lower cost than normal business or home premises allowing us to pass the discount on to you.
See our blender guide to get started.
About Cudo Compute
Cudo Compute is a fairer cloud computing platform for everyone. It provides access to distributed resources by leveraging underutilised computing globally on idle data centre hardware. It allows users to deploy virtual machines on the world’s first democratised cloud platform, finding the optimal resources in the ideal location at the best price.
Cudo Compute aims to democratise the public cloud by delivering a more sustainable economic, environmental, and societal model for computing by empowering businesses and individuals to monetise unused resources.
Our platform allows organisations and developers to deploy, run and scale based on demands without the constraints of centralised cloud environments. As a result, we realise significant availability, proximity and cost benefits for customers by simplifying their access to a broader pool of high-powered computing and distributed resources at the edge.
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