---
title: "Move AI workflows from test to production on Microsoft Foundry | DEMSP383"
url: https://daily.dev/posts/move-ai-workflows-from-test-to-production-on-microsoft-foundry-demsp383-iqswptcoq
source_url: https://www.youtube.com/watch?v=KLmRDETMCog
type: video:youtube
source: "Microsoft Developer"
published: 2026-06-03T11:03:53.451Z
updated: 2026-06-03T11:04:10.696Z
tags: ["ai-inference"]
reading_time: 14
upvotes: 0
comments: 0
language: en
---

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# Move AI workflows from test to production on Microsoft Foundry | DEMSP383

**[Microsoft Developer](https://daily.dev/sources/microsoftdeveloper)** · 14 min read · 0 upvotes · 0 comments

## Summary

A demo session from Fireworks AI showing how to deploy and evaluate open source LLMs on Microsoft Foundry. Covers the end-to-end workflow: discovering models, comparing them side-by-side in a playground, running evaluations with custom datasets, creating agents, and moving from testing to production via dedicated or multi-tenant deployments. Also touches on bringing custom fine-tuned model weights to Foundry for optimized inference using the Fireworks serving stack.

## Full article

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

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---

Tags: [#ai-inference](https://daily.dev/tags/ai-inference)

[View this post on daily.dev](https://daily.dev/posts/move-ai-workflows-from-test-to-production-on-microsoft-foundry-demsp383-iqswptcoq)
