AINewsnow

AWS Bedrock with Spring AI: Moving from Local Models to the Cloud

This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.

In the previous parts of this series, we explored how to build AI-powered applications with Spring AI and run models locally. Local inference is great for experimentation, development, privacy-focused use cases, and understanding how LLM applications work. But production AI systems often need more.…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-08-27 06:55 · DEV Community — AI
    AWS Bedrock with Spring AI: Moving from Local Models to the Cloud

More stories

  1. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  2. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  3. The new AgentCore runtime: Elastic, optimized, and consistently fast starts — AWS Machine Learning Blog
  4. Amazon SageMaker Inference: 2026 year-to-date launches in review — AWS Machine Learning Blog
  5. Migrating multi-model AI agents to Amazon Bedrock AgentCore runtime — AWS Machine Learning Blog
  6. Deploy Hugging Face models on Amazon SageMaker AI with coding agents — AWS Machine Learning Blog
  7. I'm a Principal Applied Scientist at AWS who builds AI services like Amazon Bedrock and Lex. AMA! [D] — r/MachineLearning
  8. Looking for 2-3 teammates for Amazon ML Challenge 2026 (registration closes 20 Sept, cross-college OK) — r/learnmachinelearning

Get the daily brief of stories like this at 6:30 every morning →