SquidNet’s Bridge platform combines the distributed computing capabilities of our partner’s services to provide real-time processing of GPU related processing technologies including AI, Deep Machine Learning, Gaming, 3D Visualization, Image Processing and 3D Visual Effects.
SquidNet is an advanced render farm and distributed computing solution for the TV, film, 3D animation and visual effects (VFX) industries.
A SquidNet render farm consists of submitting workstations (clients), a workflow manager (master) and rendering engines (slaves). The master node accepts processing requests from multiple sources and evenly distributes those requests to available CPU and GPU resources. The following advanced features are supported:
Complete Workflow Management
CPU and GPU Rendering Workflows
CUDA and OPENCL GPU Support
Batch Scripting and Automation
Local Rendering Framework
Web-based Rendering Framework
Internet-Capable Desktop Applications
Internet Secure Communications
Local In-application Plugins
Remote In-application Plugins
SQL Database Storage and Retrieval
Complete Render Farm Service Solution
Automatic Upload and Download of Rendering Content
Local and Remote Command Line Interface Support
Resource sharing between SquidNet Render Farms
Consultation Services for Render Farm Startups
Custom Branding of User Interfaces
Drag and Drop Render Job Submission
Python Interface for remote job submission
New !! IBM Aspera High Speed Data Transfer Support
SquidNet manages distributing computing requests from workstations residing within the local network or from client workstations accessible over the internet. SquidNet can support hundreds of CPU rendering nodes and GPU devices. All rendering nodes and GPU devices are automatically detected on the local network and seamlessly integrated into all workflows.
Specific workflows are available for animation studios, hobbyists, educational institutions and render farm services utilizing both bare-metal computers and virtual machines.