Category: Serverless

Amazon Bedrock now supports reinforcement fine-tuning delivering 66% accuracy gains on average over base models.

Access fully managed foundation models from leading providers like Google, Kimi AI, MiniMax AI, Mistral AI, NVIDIA, OpenAI, and Qwen, including the new Mistral Large 3 and Ministral 3 3B, 8B, and 14B models through Amazon Bedrock.

Access FSx for NetApp ONTAP file data through S3 to enable AI/ML workloads and analytics—letting you use enterprise file data with Bedrock, SageMaker, and analytics services while it remains in your file system.

AWS Lambda’s new provisioned mode for Amazon SQS event source mapping offers dedicated polling resources that provide 3x faster scaling and 10x higher concurrency, enabling lower latency processing, better handling of traffic spikes, and greater control over event processing resources.

Amazon Bedrock has expanded its model offerings with the addition of Qwen 3 foundation models enabling users to access and deploy them in a fully managed, serverless environment. These models feature both mixture-of-experts (MoE) and dense architectures to support diverse use cases including advanced code generation, multi-tool business automation, and cost-optimized AI reasoning.

AWS launches DeepSeek-V3.1 as a fully managed models in Amazon Bedrock. DeepSeek-V3.1 is a hybrid open weight model that switches between thinking mode for detailed step-by-step analysis and non-thinking mode for faster responses.

AWS is announcing integrated LocalStack support in the AWS Toolkit for Visual Studio Code that makes it easier than ever for developers to test and debug serverless applications locally. This enhancement builds upon our recent improvements to the Lambda development experience, including the console to IDE integration and remote debugging capabilities we launched in July 2025, continuing our commitment to simplify serverless development on AWS.

Amazon DocumentDB Serverless automatically scales capacity up or down in fine-grained increments based on your application’s demand, offering up to 90% cost savings compared to provisioning for peak capacity.