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-sagemaker ·
SageMaker Serverless Fine-Tuning for Nvidia Nemotron Models
Amazon SageMaker now offers serverless fine-tuning for Nvidia's Nemotron 3 Nano model, allowing users to adapt foundation models with proprietary data. This feature enables tailoring models for domain-specific tasks or tone alignment, abstracting infrastructure management and adopting a pay-for-use model. It's available in specific AWS regions and can be accessed via SageMaker Studio or the Python SDK.
feature - AWS What's New aiawsgaengineergovernmentaws-ec2 ·
Amazon EC2 Capacity Blocks for ML available in AWS GovCloud
Amazon EC2 Capacity Blocks for ML are now available in AWS GovCloud (US) Regions, offering reserved GPU capacity for government and regulated industries. This feature allows customers to secure GPU instances for ML workloads like training and prototyping up to eight weeks in advance for durations up to six months. The service provides low-latency connectivity and can be shared across accounts via AWS Resource Access Manager (RAM). This enablement is crucial for organizations needing assured, on-demand accelerated compute within the stringent compliance requirements of AWS GovCloud.
feature announcement - AWS What's New aiawsgaengineeraws-bedrock ·
Amazon Bedrock AgentCore adds Web Search
Amazon Bedrock AgentCore now offers general availability for Web Search, a fully managed tool to ground AI agents in current web knowledge. This eliminates the need for custom integrations with external search providers, simplifying agent development and enhancing response accuracy with multi-source grounding. The feature is available today in the US East (N. Virginia) region and is optimized for token-efficient retrieval of relevant information.
feature announcement - AWS What's New aiawssnowflakeengineer ·
Amazon Quick integrates with Snowflake Cortex AI
Amazon Quick now integrates with Snowflake Cortex AI via the Model Context Protocol, allowing users to query Snowflake data and documents using natural language and automate multi-step workflows directly within Quick. This integration enables teams to build orchestrated workflows with Snowflake Cortex Agents for repeatable, governed processes. It benefits any multi-step process involving structured data and unstructured documents, offering both structured rigor and conversational flexibility.
feature announcement - AWS What's New aiawsgamediaaws-bedrock ·
Google Gemma 4 models available on Amazon Bedrock
AWS has announced the integration of Google DeepMind's Gemma 4 family of open-weight models into Amazon Bedrock. These models enable the development of generative AI applications for reasoning, multimodal understanding, agentic workflows, and software engineering. The Gemma 4 family includes three variants optimized for different use cases, all running on a new, price-performant Bedrock innovation. The models are now available in select AWS regions.
feature announcement - AWS What's New aiawsmediaaws-bedrock ·
OpenAI GPT-5.4 and GPT-5.5 models now on Amazon Bedrock
AWS has expanded the availability of OpenAI's GPT-5.4 and GPT-5.5 models to the US East (N. Virginia) Region on Amazon Bedrock. These models offer advanced reasoning, coding, and agentic task capabilities for building generative AI applications. GPT-5.5 is OpenAI's most capable model for complex tasks, while GPT-5.4 supports frontier reasoning and long-context workflows. Both support a 272K-token context window with text and image inputs and are available via the Responses API.
feature announcement - AWS What's New aiawsgaengineeraws-ec2 ·
Amazon EC2 P6-B200 instances with NVIDIA Blackwell GPUs now in AWS GovCloud (US-East)
Amazon EC2 P6-B200 instances, powered by NVIDIA Blackwell GPUs, are now available in the AWS GovCloud (US-East) Region. These instances deliver up to twice the performance of P5en instances for AI training and inference workloads, featuring advanced GPUs, increased memory bandwidth, and enhanced networking capabilities. They are designed for secure and scalable AI workloads within Amazon EC2 UltraClusters and are also available in other US regions.
feature announcement - AWS What's New aiawsgapreviewengineeraws-bedrock ·
AWS announces Claude Fable 5, a generally available AI model
AWS has made Claude Fable 5, a state-of-the-art Mythos-class AI model, generally available. This model offers enhanced autonomous knowledge work and coding capabilities for developers and enterprises building AI applications. Claude Fable 5 is designed for professional tasks across various industries and can be accessed via Amazon Bedrock or the Claude Platform on AWS. Amazon Bedrock offers AWS-managed features and data residency, while the Claude Platform provides direct Anthropic access with unified billing.
feature announcement - AWS What's New aiawsengineer ·
AWS Cost Explorer adds Amazon Q-powered cost analysis
AWS Cost Explorer now integrates with Amazon Q Developer to provide automated cost explanations for any report. This feature analyzes cost trends, drivers, and anomalies within the context of user-defined filters and time periods, reducing manual investigation effort. It is available in all commercial AWS Regions at no additional charge and allows for follow-up questions to explore insights.
feature - AWS What's New aiawsengineer ·
Amazon Connect adds AI agent trace details for voice interactions
Amazon Connect now offers AI agent traces, providing detailed insights into how AI agents reason and act during customer voice interactions. This enhancement allows users to understand AI decision-making, diagnose issues, and build agentic experiences with greater confidence. The feature is available in all AWS Regions supporting Amazon Connect Customer AI Agents and is accessible via the Connect web UI alongside conversation transcripts.
feature - AWS What's New aiobservabilityawsengineeraws-iam ·
AWS Cost Anomaly Detection adds AI-powered root cause investigation
AWS Cost Anomaly Detection now integrates Amazon Q to automatically analyze the root cause of cost anomalies, delivering plain-language explanations in minutes instead of hours. This feature aids FinOps and engineering teams by identifying usage or rate drivers, contributing services, accounts, regions, and specific API calls. Available immediately in all commercial AWS Regions at no extra charge, it streamlines the transition from alert to action for cost optimization efforts.
feature - AWS What's New aiawsengineeraws-bedrock ·
Amazon Bedrock AgentCore Runtime adds interactive terminal shells
Amazon Bedrock AgentCore Runtime now supports interactive shells via a new API, providing a persistent, PTY-backed terminal directly into agent sessions over WebSocket. This feature is crucial for developers hosting coding agents, enabling them to interact, inspect files, and debug within an isolated microVM environment. It offers a full terminal experience, including state persistence, automatic reconnection, and support for up to 10 concurrent shells per runtime.
feature - AWS What's New aiawsengineer ·
AWS CLI adds support for Agent Toolkit installation wizard
The AWS Command Line Interface (CLI) now supports an interactive wizard for installing the Agent Toolkit for AWS across multiple coding agents, simplifying setup and management. This enhances agent capabilities by providing access to AWS APIs and expert guidance through skills and plugins. The Agent Toolkit's MCP Server is now available in US East (N. Virginia) and Europe (Frankfurt).
feature announcement - AWS What's New aiinfraawsengineeraws-s3aws-lambdaaws-iam ·
AWS MCP Server adds cross-account and cross-role access
The AWS Model Context Protocol (MCP) Server now supports accessing multiple AWS accounts and IAM roles within a single session, eliminating restarts. This enhancement allows AI coding agents to switch seamlessly between environments, enabling faster workflows for tasks like cross-account debugging or configuration management. The feature is particularly beneficial for DevOps engineers and application developers working in multi-account setups and is available in US East (N. Virginia) and Europe (Frankfurt) Regions.
feature - AWS What's New aiawsengineerfinanceaws-sagemaker ·
SageMaker Data Agent integrates business context from SageMaker Catalog
Amazon SageMaker Data Agent now integrates with SageMaker Catalog's business context and metadata, allowing data practitioners to use business terms for data discovery and code generation. This feature leverages curated business context from sources like Collibra and Atlan to improve accuracy and efficiency. It supports natural language queries for data retrieval and code generation, respecting data governance policies. This integration is available in SageMaker Unified Studio notebooks and Query Editor across supported AWS Regions.
feature - AWS What's New aiawsengineeraws-bedrock ·
Amazon Bedrock Console Redesigned for OpenAI, Anthropic APIs
Amazon Bedrock has launched a redesigned console experience optimized for the bedrock-mantle endpoint, which supports OpenAI and Anthropic-compatible APIs. This update streamlines the process of experimenting with, iterating on, and scaling generative AI applications by organizing work into projects and providing project-aware documentation. The new console is available in all AWS Regions offering the bedrock-mantle endpoint and is designed for engineers and architects building with foundation models.
feature - AWS What's New aiawsengineeraws-sagemaker ·
Amazon SageMaker Data Agent adds conversation history
Amazon SageMaker Data Agent now supports conversation history within SageMaker Unified Studio. This feature allows data practitioners to maintain continuity across analytical sessions, resuming multi-step analyses and referencing past interactions. Conversation history is available in all regions where the Data Agent is offered and is accessible via a clock icon in the chat panel.
feature - AWS What's New aiawsengineeraws-sagemaker ·
SageMaker Studio adds notebook scheduling and orchestration
Amazon SageMaker Unified Studio now allows scheduling, parameterizing, and orchestrating notebook runs directly from the interface, reducing the need for external orchestration tools. This feature simplifies moving notebooks from experimentation to production by automating recurring tasks like daily reports and model retraining. It supports background runs, parameterized notebooks for reuse, and multi-notebook workflows. AI-assisted troubleshooting is also integrated to help resolve failures.
feature - AWS What's New aiawspreviewengineeraws-bedrock ·
AWS Step Functions integrates with Amazon Bedrock AgentCore for AI reasoning
AWS Step Functions now supports AI agent reasoning steps via integration with Amazon Bedrock AgentCore, currently in preview. This feature automates complex tasks like document classification or data extraction within workflows, allowing for parallel execution, human approval, and detailed audit trails. It's available in select AWS Regions, with standard pricing for both services applying.
feature announcement - AWS What's New aiawsgagovernmentaws-bedrock ·
OpenAI GPT-5.4 available on Amazon Bedrock in AWS GovCloud (US-West)
OpenAI's GPT-5.4 model is now generally available on Amazon Bedrock, specifically within the AWS GovCloud (US-West) region. This enables government and regulated industries to leverage advanced AI capabilities with enhanced security and compliance features. The model runs on a new, high-performance inference engine, ensuring data privacy by keeping prompts and responses within the customer's AWS environment.
feature announcement
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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Set up a free email or Slack alert filtered to AWS, subscribe to the weekly digest, or follow the RSS feed. Teams can also install the ReleaseBytes GitHub App or connect via MCP.
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.