> For the complete documentation index, see [llms.txt](https://run-ai-docs.nvidia.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://run-ai-docs.nvidia.com/self-hosted/resources/nvidia-on-demand-sessions.md).

# NVIDIA On-Demand Sessions

Explore selected NVIDIA On-Demand sessions, including past GTC sessions, webinars, DLI sessions, and technical talks related to NVIDIA Run:ai

{% hint style="info" %}
**Note**

Some NVIDIA On-Demand sessions may have been recorded using earlier NVIDIA Run:ai product versions. Product screens, features, workflows, or terminology may differ in newer releases. For the latest guidance, refer to the current documentation.
{% endhint %}

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="image">Cover image</th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td>March 2026 (GTC Session)</td><td><h4>Secure Multi-Tenant AI: Sovereign Neo-Cloud Infrastructure With Fractional GPU Sharing</h4></td><td><a href="https://1843187746-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZNGVYs8RM1KF89eNrzzE%2Fuploads%2Fgit-blob-ed98d14a8bb10d0b234049deed5e12593a741509%2FScreenshot%202026-05-28%20at%202.22.53%E2%80%AFPM.png?alt=media">Screenshot 2026-05-28 at 2.22.53 PM.png</a></td><td><a href="https://www.nvidia.com/en-us/on-demand/session/gtc26-s82177/">https://www.nvidia.com/en-us/on-demand/session/gtc26-s82177/</a></td></tr><tr><td>March 2026 (GTC Session)</td><td><h4>Build a Software-Defined Multi-Tenant NVLinked Cluster</h4></td><td><a href="https://1843187746-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZNGVYs8RM1KF89eNrzzE%2Fuploads%2Fgit-blob-8be582e0765a178ece9e355028c4bffdebb5dd92%2FScreenshot%202026-05-28%20at%202.25.03%E2%80%AFPM.png?alt=media">Screenshot 2026-05-28 at 2.25.03 PM.png</a></td><td><a href="https://www.nvidia.com/en-us/on-demand/session/gtc26-s81640/">https://www.nvidia.com/en-us/on-demand/session/gtc26-s81640/</a></td></tr><tr><td>March 2026 (GTC Session)</td><td><h4>Advanced Workload Orchestration with NVIDIA Run:ai</h4></td><td><a href="https://1843187746-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZNGVYs8RM1KF89eNrzzE%2Fuploads%2Fgit-blob-f0b8f2e0a4959d1ddaaf923d9b3c4b6df2cf1c35%2FScreenshot%202026-05-28%20at%202.26.13%E2%80%AFPM.png?alt=media">Screenshot 2026-05-28 at 2.26.13 PM.png</a></td><td><a href="https://www.nvidia.com/en-us/on-demand/session/gtc26-dlit82183/">https://www.nvidia.com/en-us/on-demand/session/gtc26-dlit82183/</a></td></tr><tr><td>March 2026 (GTC Session)</td><td><h4>Efficient Workload Management for AI Factories: What Every Admin Needs to Know</h4></td><td><a href="https://1843187746-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZNGVYs8RM1KF89eNrzzE%2Fuploads%2Fgit-blob-fee0f1cd7aaa68b4eec3f27ebae4ecb816feb590%2FScreenshot%202026-05-28%20at%202.27.25%E2%80%AFPM.png?alt=media">Screenshot 2026-05-28 at 2.27.25 PM.png</a></td><td><a href="https://www.nvidia.com/en-us/on-demand/session/gtc26-dlit82002/">https://www.nvidia.com/en-us/on-demand/session/gtc26-dlit82002/</a></td></tr><tr><td>March 2026 (GTC Session)</td><td><h4>How to Accelerate AI Workflows With NVIDIA Run:ai</h4></td><td><a href="https://1843187746-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZNGVYs8RM1KF89eNrzzE%2Fuploads%2Fgit-blob-1356a65b036f2337599977f65de4f02fe4bec9f0%2FScreenshot%202026-05-28%20at%202.29.00%E2%80%AFPM.png?alt=media">Screenshot 2026-05-28 at 2.29.00 PM.png</a></td><td><a href="https://www.nvidia.com/en-us/on-demand/session/gtc26-dlit82181/">https://www.nvidia.com/en-us/on-demand/session/gtc26-dlit82181/</a></td></tr><tr><td>March 2026 (GTC Session)</td><td><h4>MLOPs 202: From Models to Production AI Systems at Scale</h4></td><td><a href="https://1843187746-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZNGVYs8RM1KF89eNrzzE%2Fuploads%2Fgit-blob-67555346c05751bcf52651573c30441e5b7711bd%2FScreenshot%202026-05-28%20at%202.30.28%E2%80%AFPM.png?alt=media">Screenshot 2026-05-28 at 2.30.28 PM.png</a></td><td><a href="https://www.nvidia.com/en-us/on-demand/session/gtc26-s81662/">https://www.nvidia.com/en-us/on-demand/session/gtc26-s81662/</a></td></tr><tr><td>October 2025 (Webinar)</td><td><h4>Introducing NVIDIA Run:ai 2.23 for AI Workloads</h4></td><td><a href="https://1843187746-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZNGVYs8RM1KF89eNrzzE%2Fuploads%2Fgit-blob-d3b78a7b10517104a505a79538987a81cf3f2e29%2FScreenshot%202026-05-28%20at%202.32.22%E2%80%AFPM.png?alt=media">Screenshot 2026-05-28 at 2.32.22 PM.png</a></td><td><a href="https://www.nvidia.com/en-us/on-demand/session/other25-nv-0002/">https://www.nvidia.com/en-us/on-demand/session/other25-nv-0002/</a></td></tr><tr><td>March 2025 (GTC Session)</td><td><h4>Use NVIDIA Base Command Manager and Run:ai to Fuel your AI Superpowers</h4></td><td><a href="https://1843187746-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZNGVYs8RM1KF89eNrzzE%2Fuploads%2Fgit-blob-66f521601fb5d06f2889b91d977e74ba0bf6a41c%2FScreenshot%202026-05-28%20at%202.33.15%E2%80%AFPM.png?alt=media">Screenshot 2026-05-28 at 2.33.15 PM.png</a></td><td><a href="https://www.nvidia.com/en-us/on-demand/session/gtc25-dlit71684/">https://www.nvidia.com/en-us/on-demand/session/gtc25-dlit71684/</a></td></tr><tr><td>March 2025 (GTC Session)</td><td><h4>A Platform Engineering Approach to Composable AI-Native Applications (Presented by Vultr)</h4></td><td><a href="https://1843187746-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZNGVYs8RM1KF89eNrzzE%2Fuploads%2Fgit-blob-071d98a9e274fedaf7a68c44db6fd81857190627%2FScreenshot%202026-05-28%20at%202.34.14%E2%80%AFPM.png?alt=media">Screenshot 2026-05-28 at 2.34.14 PM.png</a></td><td><a href="https://www.nvidia.com/en-us/on-demand/session/gtc25-s74292/">https://www.nvidia.com/en-us/on-demand/session/gtc25-s74292/</a></td></tr></tbody></table>


---

# Agent Instructions
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## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://run-ai-docs.nvidia.com/self-hosted/resources/nvidia-on-demand-sessions.md?ask=<question>&goal=<endgoal>
```

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