Squidnet is the world’s most advanced distributed rendering and computing solution for the TV, film, 3D animation and visual effects (VFX) industries. With Squidnet’s completely modular framework, it’s possible to build environments that support any type of distributed computing workflow.
Modular components include:
Squidnet supports any distributing computing application that provides an API/SDK or command line interface. Support for additional applications available upon request.
Here are all the applications that are currently supported:
Squidnet provides in-app plugins for all mayor 3D software packages like Maya, Cinema 4D, 3Ds Max, Houdini and Blender. Meaning you can submit your jobs directly from your 3D application.
Squidnet provides multiple options to control and monitor your jobs.
This is located on your master machine and provides besides basic control many advanced options like:
The Cloud User Interface (CUI) can be installed by any desktop in the world to connect to your master. This is perfect for render farms with multiple users or Universities that would like to allow students to render their work locally or remotely.
SquidNet’s in-application Streamer lives inside your favorite rendering application. The Streamer provides all the functionality of the Cloud User Interface (CUI) with the added feature of submitting a d monitoring your jobs from inside your rendering application.
You can also monitor your jobs online with Squidnet’s built-in web interface where you can login to see everything wherever you are. With Squidnet’s REST API, you can also build your own web interface. Custom made web integration is also available.
Squidnet has many advanced features, here are some highlights.
SquidNet’s Cloud User Interface (CUI) provides for access to your jobs from your local desktop. Features include:
SquidNet’s GPU interface provides an ideal candidate for machine learning distributed operations. The front-end local and cloud-based user interfaces provide all the user input data to the back-end GPU processing nodes. When processing is completed, SquidNet bundles up the output content and downloads it to the user’s desktop automatically. Send us an email if you’re interested in becoming a development partner for our machine learning interface design.
SquidNet provides a completely customizable framework to support any distributed computing workflow:
SquidNet provides the internal hooks to connect to Google Cloud, Azure and amazon web services. Each cloud instance can be used as a local or cloud-based rendering node.
SquidNet provides a complete render farm service manager framework. Create studio profiles with one or more user login accounts. Create rendering leases that determine studio’s rendering criteria, settings and limitations. Studio accounts are assigned render credits which are used to regulate usage of render farm resources.
SquidNet provides a complete user management interface. Each account can be configured as an administrator or as a regular user.