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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Under 5 minutes to a deployed LLM endpoint — Audry Hsu, RunPod

**[AI Engineer](https://daily.dev/sources/aidotengineer)** · 13 min read · 0 upvotes · 0 comments

## Summary

A conference talk introducing RunPod, a cloud GPU infrastructure platform. The speaker demonstrates how to deploy an LLM endpoint in under 5 minutes using RunPod's serverless product and hub listings. The demo covers selecting a pre-configured open-source LLM from the hub, deploying it via the console with vLLM, configuring auto-scaling workers and spending caps, and sending requests to the provisioned HTTP endpoint. Key platform features covered include pods, serverless auto-scaling, multi-node clusters, and the hub repository. RunPod reports 500K+ developers, 30+ global data centers, and $120M ARR.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=ILdE7FaAjVA>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#serverless](https://daily.dev/tags/serverless), [#vllm](https://daily.dev/tags/vllm)

[View this post on daily.dev](https://daily.dev/posts/under-5-minutes-to-a-deployed-llm-endpoint-audry-hsu-runpod-g4ytgygaz)

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