DEV Community

Julien Simon
Julien Simon

Posted on • Originally published at julsimon.Medium on

Developer resources to deploy and test Arcee models on AWS

#mlops #ai #aws

In this video, you will learn about a collection of developer resources that make it easy to deploy Arcee models on Amazon SageMaker:

  • Notebooks to deploy from the Hugging Face hub
  • Notebooks to deploy from AWS Marketplace listings
  • CloudFormation templates to deploy from the Hugging Face hub, from your model packages, and model artifacts in S3, with both the TGI and LMI+vLLM inference servers.

Github repository: https://github.com/arcee-ai/aws-samples

Top comments (0)

Read next

lotfijb profile image

Building Scalable and Cost-Efficient SaaS: The Architecture Behind Fitly Space

Lotfi Jebali -

codesolutionshub profile image

Say Goodbye to SSH: Securing Your AWS Environment with EC2 Instance Connect Endpoint

CodeSolutionsHub -

jet_xu profile image

How We Made AI Code Review 40% More Efficient Using ReAct Patterns

Jet Xu -

dayjournal profile image

Building a Map Application with Amazon Location Service v2 and MapLibre GL JS

Yasunori Kirimoto -