--- title: "Deploying Your Dagster-Trained Model: Serving NanoChat on RunPod Endpoints" url: https://daily.dev/posts/deploying-your-dagster-trained-model-serving-nanochat-on-runpod-endpoints-xmd7mkh4c source_url: https://dagster.io/blog/orchestrating-nanochat-deploying-the-model type: article source: "Dagster Blog" published: 2026-05-31T07:44:19.464Z updated: 2026-06-04T02:13:49.074Z tags: ["dagster", "llm", "serverless"] reading_time: 6 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Deploying Your Dagster-Trained Model: Serving NanoChat on RunPod Endpoints **[Dagster Blog](https://daily.dev/sources/dagster-blog)** · 6 min read · 0 upvotes · 0 comments ## Summary A walkthrough of deploying a NanoChat language model trained with Dagster to a RunPod serverless inference endpoint. Covers packaging the model into a Docker image with a serverless handler function (similar to AWS Lambda), creating RunPod templates and endpoints via a custom Dagster resource, and representing the endpoint as a Dagster asset for lineage tracking. Also shows how to build a chat inference asset that sends prompts to the live endpoint and stores results in Dagster's execution history, completing an end-to-end pipeline from raw data ingestion to interactive model serving. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Runpod Launches Flash: The Fastest Way to Deploy AI Inference](https://daily.dev/posts/runpod-launches-flash-the-fastest-way-to-deploy-ai-inference-0btmoy5w8) · SD Times · 0 upvotes · 0 comments --- Tags: [#dagster](https://daily.dev/tags/dagster), [#llm](https://daily.dev/tags/llm), [#serverless](https://daily.dev/tags/serverless) [View this post on daily.dev](https://daily.dev/posts/deploying-your-dagster-trained-model-serving-nanochat-on-runpod-endpoints-xmd7mkh4c)