# Azure GPU VMs Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/azure-gpu-vms
> Markdown URL: https://aitinkerers.org/technologies/azure-gpu-vms.md
> Technology record last updated: 2026-02-26T10:40:58Z
> Generated: 2026-09-22T15:41:40Z

N-series virtual machines powered by NVIDIA H100, A100, and T4 GPUs for high-scale AI training, 3D rendering, and data science.

Azure GPU VMs deliver the raw horsepower required for heavy-duty workloads: LLM fine-tuning, 3D rendering, and high-end visualization. You get access to industry-standard hardware (the ND H100 v5 series features eight NVIDIA H100 GPUs per instance for massive AI scale). For graphics-heavy tasks, the NV-series utilizes T4 and A10 GPUs to handle CAD and remote workstations efficiently. Azure’s InfiniBand networking (up to 400 Gbps) ensures low-latency communication between nodes in large clusters. It is a flexible, pay-as-you-go solution for teams moving from local workstations to cloud-scale performance.

- Official technology site: https://azure.microsoft.com/en-us/products/virtual-machines/gpu/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [GPU-Streaming Omniverse to the Browser Per‑Org Sessions over WebRTC](https://miami.aitinkerers.org/talks/rsvp_Mq1fLtz3A-E)

Live build walkthrough of a prototype that spins up an isolated NVIDIA Omniverse/Kit session per organization, then streams it into a standard web browser via WebRTC. I’ll show the end-to-end flow: request → provision Azure GPU instance → boot the Kit runtime → establish a WebRTC connection → interact in-scene → teardown/cleanup. Focus is on the state machine, orchestration, and the practical failure modes (startup latency, ICE/networking, cleanup).

- Event context: AI Tinkerers Miami Meetup — The 2026 Builder Kickoff — 2026-02-11 — Miami
- Public talk page: https://miami.aitinkerers.org/talks/rsvp_Mq1fLtz3A-E

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