How Arcanum AI Migrated Models from OpenAI to AWS Using Amazon Bedrock and Amazon SageMaker JumpStart
AWS Partner Network Blog
This article discusses how Arcanum AI, an AWS Partner, migrated their generative AI models from OpenAI to AWS using Amazon Bedrock and Amazon SageMaker JumpStart.
Specifically, the article covers:
- Arcanum AI's two-iteration model evaluation process to assess open-source models before migrating from OpenAI
- The architecture design for applications consuming LLMs in AWS, including Amazon Route 53, Amazon VPC, Application Load Balancer, Amazon ECS/EKS, Amazon SageMaker JumpStart, and Amazon Bedrock
- Implementation details using AWS SDK for Python (Boto3) and open-source libraries like LangChain
- Benefits of migrating to Amazon Bedrock and SageMaker JumpStart, such as enhanced security, access control, and network isolation
- Conclusion highlighting Arcanum AI's improved performance and the advantages of AWS for generative AI adoption in enterprises and SMBs
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