NVIDIA Omniverse Farm™ Standalone allows users to orchestrate multiple computing resources to execute batch and interactive tasks. It is both infrastructure agnostic - meaning it can work across typical workstations, VMs, or bare-metal servers - and task agnostic, able to orchestrate and distribute tasks from rendering, streaming, file conversion, synthetic data generation, to simulation.
Farm Standalone is suitable for use cases ranging from a single system to a small distributed farm. This is a straightforward choice for deployments with limited scaling needs. In larger installations, services can be configured to run individually with scalable back-end solutions.
For enterprise-scale deployments, we would recommend deploying NVIDIA’s Omniverse Farm on Kubernetes, which offers a robust and highly scalable alternative.
Farm is designed from the ground up to embrace the microservice architecture for flexibility and scalability.
Omniverse Farm Standalone is offered as an NGC resource providing Windows and Linux Python packages to stand up an instance of Farm on top of workstations, VMs, or bare-metal servers.
Follow the full Farm Standalone installation steps here.
For each system that will be used to manage the queue or execute tasks:
Every Farm deployment must have one instance of the Farm Queue services running while each system available to execute tasks must have the Farm Agent services running. Multi-system deployments require configuration to inform the services how to communicate with each other.
Single-system Usage:
Run Farm Standalone on a single-system:
farm
Multi-system Usage:
Refer to the Farm Standalone Guide for configuration and workflows.
Additional detailed documentation is available on the Omniverse Farm Home.
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