--- title: Canonical integrates NVIDIA Nemotron 3.5 Lightning with Ubuntu for always-on AI agents description: NVIDIA Nemotron 3.5 Lightning, an open, customizable model built for always-on AI agents, is now available on Ubuntu with single-command installation. url: https://canonical-com-2934.demos.haus/blog/nvidia-nemotron-3-5-lightning?format=md --- 1. [Blog](https://canonical-com-2934.demos.haus/blog) 2. Article --- [Canonical](https://canonical-com-2934.demos.haus/blog/author/canonical "More about Canonical") 11 August 2026 # Canonical integrates NVIDIA Nemotron 3.5 Lightning with Ubuntu for always-on AI agents --- Share the article Canonical is pleased to announce that  NVIDIA’s newly introduced NVIDIA Nemotron 3.5 Lightning, an open, customizable model built for always-on AI agents, is now available on Ubuntu with single-command installation. NVIDIA Nemotron 3.5 Lightning is an open 30B hybrid Mixture-of-Experts (MoE) model with 3B active parameters, designed for high-throughput agentic workloads. It is fully customizable, allowing organizations to own, fine-tune, and deploy the model wherever their agents operate while maintaining control over model behavior, data handling, and deployment. ### Nemotron 3.5 Lightning available on Ubuntu at launch Canonical is enabling access to Nemotron 3.5 Lightning at launch through [inference snaps](https://documentation.ubuntu.com/inference-snaps/): pre-packaged AI inference runtimes distributed as snap packages for consistent deployment across systems. Developers and enterprises can deploy the model across supported NVIDIA platforms with a single command: ``` sudo snap install nemotron-3-5-lightning ``` Inference snaps transform Nemotron 3.5 Lightning deployment into a simple, standardized operation. This production-ready runtime scales consistently across workstations, edge devices, and servers, allowing teams to focus on building AI agents instead of managing infrastructure. Users deploying Nemotron 3.5 Lightning with inference snaps benefit from: * 1 million token context window: Nemotron’s context windows supports persistent, autonomous AI agents capable of maintaining context across long-running, multi-step workflows. * High-throughput hybrid MoE architecture: Nemotron 3.5 Lightning features a 30B Mixture-of-Experts model with 3B active parameters, distilled from NVIDIA’s frontier Nemotron 3 Ultra. * Consistent runtime across environments: inference snaps ensure identical behavior on cloud, on-premises, and edge systems * Simplified operations: standardized snap packaging reduces maintenance, patching, and upgrade complexity. * Secure, confined execution: strict isolation with automatic updates and verified distribution For enterprises, this translates into significantly faster deployment times, saving weeks of integration and validation work, and enabling scalable AI infrastructure with a single portable artifact. Learn more at: [Get in touch Interested in running Ubuntu in your organization?](https://ubuntu.com/about/contact-us/form) ## Sign up for our newsletter Get the latest Canonical news and updates in your inbox. Work email: \*I agree to receive information about Canonical's products and services. By submitting this form, I confirm that I have read and agree to [Canonical's Privacy Policy](https://canonical-com-2934.demos.haus/legal/dataprivacy). Sign up ## Share on --- ## Related posts [### Network disaggregation in telecommunication transport networks](https://canonical-com-2934.demos.haus/blog/network-disaggregation) Telecommunications networks have traditionally been built from tightly integrated systems. A router vendor supplies the forwarding hardware, network operating system (NOS),... 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