NVIDIA AI Workbench: A Free Development Environment Manager for AI Applications
Easy Setup and Managed Experience
NVIDIA AI Workbench is a free development environment manager for developing, customizing, and prototyping AI applications on your GPUs. It provides a frictionless experience across PCs, workstations, servers, and cloud for AI, data science, and machine learning (ML) projects. The user experience includes:
- Easy setup on single systems: Click-through install in minutes on Windows, Ubuntu, and macOS, with a one-line install on remote systems.
- Managed experience for decentralized deployment: A free, PaaS/SaaS-type UX in truly hybrid contexts without a centralized, service-based platform.
- Seamless collaboration for experts and beginners: Friendly Git, container, and application management without limiting customization by power users.
- Consistent across users and systems: Migrate workloads and applications across different systems while maintaining functionality and user experience.
- Simplified GPU handling: Handles system dependencies like the NVIDIA Container Toolkit, as well as GPU-enabled container runtime configuration.
- Streamlined multicontainer environments: Create and share multicontainer environments, workloads, and applications with click-through delivery and use.
New Integrations and Features
This post provides details about the January 2025 release of NVIDIA AI Workbench, including the following new integrations and features:
- Local meets cloud with NVIDIA Brev
- NVIDIA AI Blueprint for PDF to podcast in AI Workbench on NVIDIA RTX workstations
- Frictionless collaboration through Git
- New desktop app features
Local Meets Cloud with NVIDIA Brev
According to feedback received from the recent Dell and NVIDIA HackAI Hackathon, users want easy access to cloud GPUs through AI Workbench. This is now possible, thanks to a collaboration between NVIDIA AI Workbench and NVIDIA Brev, an AI development platform that enables you to run, build, train, and deploy ML models on the cloud.
NVIDIA AI Blueprint for PDF to Podcast in AI Workbench on RTX Workstations
The NVIDIA AI Blueprint for PDF to podcast is a reference workflow that enables developers to get started with agentic AI and generative AI use cases. AI Workbench supports any Docker Compose-based NVIDIA Blueprint with a streamlined, click-through user experience on any suitable GPU-enabled system. AI Workbench is particularly useful for working on your own GPU system, such as an NVIDIA RTX-powered AI workstation. You can easily launch your experience with the multicontainer support feature of AI Workbench, powered by Docker Compose.
Frictionless Collaboration through Git
The previous release introduced expanded Git functionality in the AI Workbench desktop app and CLI. For example, users can create and manage branches in the Branches view, and see and manage file diffs prior to committing changes. This release includes additional UI improvements to manage branches and ensure that file changes are immediately viewable in the desktop app. Users can now create new branches directly from the Branch dropdown menu, in addition to using the Branches view.
New Desktop App Features
This release introduces new desktop app features that further streamline the user experience, including:
- Filter projects: Users can now filter projects by date or by keywords in the project name or description.
- Deep link widget: Deep links can now be created on the desktop app in addition to the CLI. Users can generate deep links that, when shared with others, will directly open the project on AI Workbench.
- File browser: Edit capability is now possible in the file browser, enabling users to edit files in the project folder directly in the desktop app.
Get Started with AI Workbench
Collaboration using AI Workbench is now easier than ever. The latest release includes one-click local-to-cloud workflows and a frictionless user experience with expanded Git and desktop app capabilities. To get started, install AI Workbench. For more details, see the AI Workbench documentation and check out the following related resources:
- Join the NVIDIA Developer program for free access to software, technical documentation, learning resources, and more.
- To use NIM microservices in production, organizations can sign up for a free 90-day NVIDIA AI Enterprise license.
FAQs
Q: What is NVIDIA AI Workbench?
A: NVIDIA AI Workbench is a free development environment manager for developing, customizing, and prototyping AI applications on your GPUs.
Q: What are the key features of NVIDIA AI Workbench?
A: The key features of NVIDIA AI Workbench include easy setup, managed experience, seamless collaboration, consistent across users and systems, simplified GPU handling, and streamlined multicontainer environments.
Q: What are the new integrations and features in the January 2025 release of NVIDIA AI Workbench?
A: The new integrations and features in the January 2025 release of NVIDIA AI Workbench include local meets cloud with NVIDIA Brev, NVIDIA AI Blueprint for PDF to podcast in AI Workbench on RTX workstations, frictionless collaboration through Git, and new desktop app features.
Q: How do I get started with AI Workbench?
A: You can get started with AI Workbench by installing it and exploring the documentation and related resources.
