You will need to select a container base image that supports the rendering API you wish to use, either from the official base images that NVIDIA makes available, or from the list of preconfigured base images available that are specifically designed for running packaged Unreal projects. The NVIDIA Container Toolkit supports both OpenGL and Vulkan rendering. Windows-based cloud rendering must be run inside VMs rather than containers.
![capturing reality cuda opengl capturing reality cuda opengl](https://media.ldlc.com/r1600/ld/products/00/05/76/98/LD0005769855_1_0005830210.jpg)
Key considerationsīecause the NVIDIA Container Toolkit only works with Linux containers running under Linux host systems, cloud rendering cannot be performed inside Windows containers. Container-based cloud rendering can also be combined with existing RPC frameworks to create GPU-accelerated microservices powered by the Unreal Engine or provide training data for machine learning models. Rendering results can be captured, stored, or streamed to remote devices in much the same manner as when performing cloud rendering inside VMs. GPU-accelerated containers augment existing cloud rendering workflows with all of the advantages inherent to containerisation, including increased density and compatibility with container orchestration technologies.
CAPTURING REALITY CUDA OPENGL FULL
The NVIDIA Container Toolkit allows Unreal Engine containers to run in the cloud with full GPU acceleration, facilitating server-side 2D or 3D rendering. Creating container images as part of the build process for projects.Copying packaged projects into container images from the host system.Building container images for deployment.The content below (which is now outdated in several places) will remain unchanged during the transition process, and will then be removed once everything has been relocated to the appropriate pages. The rendering-related parts of AI and Machine Learning.
![capturing reality cuda opengl capturing reality cuda opengl](https://microless.com/cdn/product_description/2063372_1582588340.png)
![capturing reality cuda opengl capturing reality cuda opengl](https://media.springernature.com/lw785/springer-static/image/chp%3A10.1007%2F978-3-319-71598-8_38/MediaObjects/460859_1_En_38_Fig4_HTML.gif)
This page used to serve as an overview of several related use cases, which are now being split into separate pages with their own specific focus.