---
title: "Deploy FLAN-UL2 20B on Amazon SageMaker"
url: https://daily.dev/posts/deploy-flan-ul2-20b-on-amazon-sagemaker-9ejoyvigh
source_url: https://www.philschmid.de/deploy-flan-ul2-sagemaker
type: article
source: "Philipp Schmid"
published: 2026-05-31T07:40:49.763Z
updated: 2026-05-31T08:22:25.322Z
tags: ["aws", "llm", "mlops"]
reading_time: 5
upvotes: 0
comments: 0
language: en
---

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# Deploy FLAN-UL2 20B on Amazon SageMaker

**[Philipp Schmid](https://daily.dev/sources/philschmid)** · 5 min read · 0 upvotes · 0 comments

## Summary

Step-by-step guide to deploying Google's FLAN-UL2 20B language model on Amazon SageMaker for real-time inference. Covers creating a custom inference.py script using Hugging Face Transformers (AutoModelForSeq2SeqLM), packaging model weights into a model.tar.gz artifact, uploading to S3, deploying to a g5.12xlarge GPU instance with 4x NVIDIA A10G GPUs, and running inference with various text generation configurations including beam search and custom decoding parameters.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.philschmid.de/deploy-flan-ul2-sagemaker>

---

Tags: [#aws](https://daily.dev/tags/aws), [#llm](https://daily.dev/tags/llm), [#mlops](https://daily.dev/tags/mlops)

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