It’s a developer toolkit for data science, machine learning and AI that streamlines and integrates git, containers and IDEs. It’s free and you can install it in minutes on your local or remote systems.
It provides features and automation for:
Simplifying setup on local and remote machines.
Streamlining for working with GPU-enabled development environments.
Reproducibility and portability with integration for Git platforms like GitHub and GitLab.
Handling containers and connecting to registries like NVIDIA’s NGC.
Working with IDEs like JupyterLab and VS Code.
Supported Operating Systems
Windows 11
Windows 10 (build 19041 or higher)
Ubuntu 22.04
macOS (Monterrey (12) or higher)
It’s for interactive development and computational work in JupyterLab and VS Code.
You can use it to:
Develop in JupyterLab or VS Code with containerized, GPU-enabled environments.
Work on your laptop or remote machines within the same user interface.
Clone fully functioning examples for things like RAG and fine-tuning with models like LLaMa 2 and Mistral.
Collaborate and distribute your work through Git platforms like GitHub and GitLab.
You can install and use it on your laptop, workstations, servers, cloud instances and VMs.
Deployment Pattern
You must first install it locally on your laptop or main daily driver. This is your Local AI Workbench.
Then you can install it on remote machines and connect them to your Local AI Workbench.
You can have multiple Remote AI Workbench Locations, but you should have only one Local AI Workbench.
Supported GPUs and Systems
Consumer and professional GPUs on laptops and workstations.
Datacenter GPUs on servers and in the cloud.
Install AI Workbench
Learn the Concepts (Overviews and Detailed References)
Read the Locations Overview or read the Locations Reference
Read the Integrations Overview or read the Platform Integrations Reference
Read the Workbench Projects Overview or read the Workbench Projects Reference
Read the Applications Overview or read the Applications Reference
Do the Quickstart
Clone Example Projects from GitHub