AWS Releases
Amazon Web Services releases and Terraform AWS provider. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 680 AWS releases · Updated
- AWS What's New aiawsengineeraws-ec2aws-eksaws-sagemakeraws-bedrock ·
Amazon SageMaker AI adds multi-turn reinforcement learning
Amazon SageMaker AI now supports multi-turn reinforcement learning for customizing foundation models on multi-step, agentic tasks. This serverless capability simplifies the complex process of training AI agents by rewarding full decision sequences, enabling specialization of smaller models for specific workloads. It is available today through SageMaker Studio and the Python SDK, with support for various models and AWS compute options.
feature - AWS What's New aiinfraawsengineeraws-ec2aws-ecs ·
Amazon ECS Managed Instances add support for AWS Trainium and Inferentia
Amazon ECS Managed Instances now supports AWS Trainium and AWS Inferentia, purpose-built AI accelerators for generative AI workloads. This feature simplifies infrastructure management for ECS users by offloading operations to AWS, enhancing performance and reducing costs. Users can now select accelerated instance types and configure resource requirements within their task definitions to allocate accelerators efficiently. This update is available immediately via the AWS Console, ECS MCP Server, or IaC tooling.
feature - AWS What's New aiawsengineerfinance ·
Amazon ElastiCache for Valkey adds durability support
AWS has announced durability support for Amazon ElastiCache for Valkey, allowing workloads requiring low latency and high availability to prevent data loss. Customers can choose between synchronous or asynchronous writes to meet different data loss tolerance and latency requirements. This enhancement expands ElastiCache's applicability to critical use cases like AI agent memory and payment processing, and is available globally starting with Valkey 9.0.
feature - AWS What's New aiawsengineeraws-sagemakeraws-bedrockaws-iam ·
Amazon SageMaker Studio setup faster, includes model customization permissions
Amazon SageMaker Studio now sets up in under twenty seconds, a significant reduction from previous setup times. This accelerated setup process automatically configures serverless model customization permissions, simplifying the process for ML engineers and data scientists. A new managed policy, AmazonSageMakerModelCustomizationCoreAccess, is now attached by default for new environments, reducing manual IAM configuration. This feature is available in all supported AWS Commercial Regions.
feature patch - AWS What's New aiawsgaengineeraws-bedrock ·
Amazon Bedrock AgentCore Identity supports BYO secrets with Secrets Manager
Amazon Bedrock AgentCore Identity now allows referencing existing AWS Secrets Manager secrets directly, enhancing governance and control. Previously, secrets were service-managed, hindering custom encryption, tagging, and policy enforcement. This update enables customers to manage their secrets with their own policies and CMKs, providing full ownership and governance, and is now generally available across 14 AWS regions.
feature announcement - AWS What's New aiinfraawsengineeraws-sagemaker ·
SageMaker HyperPod adds EFA-only network interface option
Amazon SageMaker HyperPod now supports EFA-only network interfaces, allowing users to configure dedicated Elastic Fabric Adapters without requiring traditional Elastic Network Adapters for IP networking. This change is crucial for large-scale AI/ML model development, enabling further scaling of training clusters by preventing IP address exhaustion within VPCs. The feature is available in all AWS Regions where SageMaker HyperPod is supported and is configured via the CreateCluster/UpdateCluster API.
feature - AWS What's New aiawsengineeraws-ec2 ·
Amazon Quick now supports private VPC connectivity for MCP servers
Amazon Quick now allows private connections to on-premises Model Context Protocol (MCP) servers via VPC, expanding AI workflow capabilities for enterprises. This feature enables secure integration with proprietary applications and internal tools hosted on private networks, previously limited to public internet access. It benefits organizations hosting MCP servers on EC2, Fargate, or Agentcore, allowing natural language interaction with private data sources through Quick, with all traffic secured within your VPC. This enhancement is available across all AWS Regions where Quick is offered.
feature - AWS What's New aiawsengineeraws-bedrock ·
Amazon Bedrock adds CloudWatch metrics for OpenAI/Anthropic APIs
Amazon Bedrock now provides Amazon CloudWatch metrics for inference traffic to the bedrock-mantle endpoint, which supports OpenAI and Anthropic APIs. This allows customers to monitor usage, set up alarms, and plan capacity for generative AI applications running on Bedrock. The new metrics are available in all regions where the bedrock-mantle endpoint is offered and can be accessed via the AWS/BedrockMantle namespace in the CloudWatch console.
feature - AWS What's New aiawsgaengineeraws-bedrock ·
OpenAI's GPT-5.5, GPT-5.4, and Codex now available on Amazon Bedrock
Amazon Bedrock now offers production access to OpenAI's GPT-5.5 and GPT-5.4 models, alongside Codex for AI-assisted software development. This integration provides enhanced capabilities for coding, data analysis, and autonomous tasks within the existing AWS security and governance framework. Pricing aligns with OpenAI's rates and counts towards AWS commitments, making these advanced AI models accessible for enterprise use.
feature announcement - AWS What's New aiawsengineeraws-eksaws-sagemaker ·
SageMaker HyperPod adds AI coding assistant troubleshooting skills
Amazon SageMaker HyperPod now integrates troubleshooting skills with AI coding assistants like Claude Code, Cursor, and Kiro. This feature enables expert-level cluster diagnostics through natural language, streamlining the resolution of complex issues in large-scale AI/ML infrastructure. It benefits operators by reducing the time and expertise needed for debugging, without requiring modifications to existing HyperPod setups. The skills are available today as open source for Slurm and Amazon EKS orchestrated clusters.
feature announcement - AWS What's New aiawsengineerenergy ·
AWS PCS offers production-ready Deep Learning AMI
AWS Parallel Computing Service (AWS PCS) has launched a production-ready Deep Learning AMI (DLAMI) built on the Deep Learning Base GPU AMI. This AMI simplifies AI/ML training and HPC by pre-installing core infrastructure components like the PCS Agent and Slurm, making it easier to build and scale environments. It is available at no additional cost in all AWS Regions where PCS is available and supports both x86_64 and arm64 architectures.
feature - AWS What's New aiawsgaengineer ·
Amazon Connect adds generative AI post-contact summaries in 8 new languages
Amazon Connect now offers generative AI-powered post-contact summaries in eight new languages, including Portuguese, French, and German, along with regional English variations. This enhancement allows for automated, concise overviews of customer interactions across channels, reducing the need for agents to review full transcripts. Organizations can now generate summaries in the language of the conversation, improving agent efficiency and manager oversight for global support operations. These new language capabilities are available in all AWS Regions where the feature is currently supported.
feature - AWS What's New aiawsgaengineeraws-bedrock ·
Claude Opus 4.8 available on AWS via Bedrock and Claude Platform
Anthropic's Claude Opus 4.8, their most capable general availability model, is now accessible on AWS. This model offers significant improvements in agentic coding, complex knowledge work, and long-running autonomous tasks, benefiting developers and enterprises building AI applications. Customers can access it through Amazon Bedrock for integrated AWS features or the Claude Platform on AWS for direct Anthropic experience with AWS billing and authentication.
feature announcement - AWS What's New aiawsgaengineer ·
Amazon OpenSearch Serverless Next Generation GA
AWS announced the general availability of the next generation of Amazon OpenSearch Serverless, featuring 20x faster auto-scaling and resource provisioning in seconds. This fully managed search and vector engine offers scale-to-zero pricing, potentially saving customers up to 60%, and decouples compute and storage for independent scaling. It also simplifies network connectivity with new endpoints and offers native integrations with AI development platforms, making it available today in all commercial AWS regions.
feature announcement - AWS What's New aiawsengineer ·
Amazon Connect Assistant integrated into UI builder
Amazon Connect's AI assistant is now available within the UI builder, allowing contact center managers to create and modify Views using natural language prompts. This feature can reduce the time needed to build Views by up to 70%, enabling managers to configure layouts, components, and styling conversationally. The assistant also provides recommendations and troubleshooting, speeding up the development process.
feature - AWS What's New aiawsengineeraws-ec2aws-sagemaker ·
P5.48xl instances with NVIDIA H100 GPUs now available on AWS SageMaker in Tokyo
Amazon SageMaker notebook instances now support P5.48xl instances with NVIDIA H100 GPUs in the Asia Pacific (Tokyo) region. These instances offer up to 4x faster deep learning and HPC performance compared to previous generations, reducing ML model training costs by up to 40%. They are suitable for training and deploying large language and generative AI models, with general availability starting now.
feature announcement - AWS What's New aiawsgaengineeraws-ec2aws-sagemaker ·
AWS SageMaker adds NVIDIA Blackwell P6-B200 instances for AI training
Amazon SageMaker notebook instances now offer general availability of EC2 P6-B200 instances, featuring 8 NVIDIA Blackwell GPUs and Intel's Emerald Rapids processors. These instances aim to accelerate AI training, offering up to twice the performance of P5en instances for tasks like fine-tuning large foundation models. This enhancement is particularly beneficial for developers working with LLMs and generative AI applications, providing more power for interactive development directly within JupyterLab or CodeEditor environments.
feature announcement - AWS What's New aiawsengineeraws-ec2aws-sagemaker ·
P4de instances available on SageMaker Notebook Instances in Tokyo
Amazon EC2 P4de instances, featuring 8 NVIDIA A100 GPUs with 80GB HBM2e memory each, are now generally available on SageMaker notebook instances in the Asia Pacific (Tokyo) region. These instances offer up to 60% better ML training performance and 20% lower cost compared to P4d instances, accelerating time to market for large dataset training. This enhancement benefits ML engineers and architects working with high-resolution data.
feature announcement - AWS What's New aiawsengineeraws-bedrock ·
Amazon Bedrock adds Service Quotas support for bedrock-mantle endpoint
Amazon Bedrock now exposes inference quotas for its bedrock-mantle endpoint via AWS Service Quotas, providing customers with a unified view of their limits. This enhancement enables better planning for generative AI workloads by offering visibility into input and output token limits for supported models. Customers can access these quotas through the AWS Service Quotas console in all supported regions where the endpoint is available.
feature - AWS What's New aiawsengineer ·
AWS Elemental Inference Adds AI-Powered Live Subtitles
AWS Elemental Inference now offers AI-powered "Smart Subtitles" for live video streams, automatically generating real-time captions in TTML format across multiple languages. This feature aims to improve accessibility and reduce the need for manual captioning or third-party services for broadcasters and streamers. Users can enhance transcription accuracy via custom dictionaries and benefit from existing integrations with AWS Elemental MediaLive and other Elemental Inference capabilities.
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About AWS release tracking on ReleaseBytes
AWS ships hundreds of service updates a month across EC2, Lambda, RDS, S3, EKS and the rest of the catalogue — far more than anyone can follow by reading the official What's New feed. ReleaseBytes ingests announcements from AWS's official release channels and the Terraform AWS provider changelog, summarises each one in plain English, and tags anything that is a breaking change, security advisory or deprecation so you can see at a glance whether it affects your workloads.
Frequently asked questions
How often are AWS release notes updated on ReleaseBytes? ›
Continuously. ReleaseBytes monitors the official AWS release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.
What kinds of AWS changes does ReleaseBytes track? ›
New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.
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Where does the AWS release data come from? ›
From the official sources: Amazon Web Services releases and Terraform AWS provider. Every item links back to the original vendor announcement.