Amazon SageMaker Enhances MLflow Sync with Model Registry Integration
Amazon SageMaker now synchronizes MLflow models with its AI Model Registry, carrying training metrics, evaluation results, and lineage to streamline model governance.
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The tools, frameworks, and platforms developers use to build with AI — coding assistants, agent frameworks, APIs, and developer tooling, with the updates that change how you ship.
Amazon SageMaker now synchronizes MLflow models with its AI Model Registry, carrying training metrics, evaluation results, and lineage to streamline model governance.
AWS introduced cross-account model governance using MLflow and SageMaker AI Model Registry sync, enabling centralized control across multiple development accounts.
Amazon SageMaker Feature Store now supports feature-level writes via the UpdateRecord API, enabling efficient updates without full-record reads or writes.
OpenAI developer Thibault Sottiaux said Astra increased productivity so much it pushed some plans forward by six months.
Amazon announced a WhatsApp ordering assistant that unifies customer interactions across text, voice notes, and calls using Amazon Bedrock AgentCore. The solution connects to a single backend, enabling cross-channel memory for over two billion users.
Intuit developed an AI-powered disaster recovery assistant using Amazon Bedrock, reducing failover times to about 20 minutes for supported workloads.
Amazon Bedrock now integrates with Textract to help organizations extract and analyze large, complex documents like utility bills, improving customer service efficiency.
AMD announced on September 3, 2026, that it can now run DeepSeek-V4-Flash training on its MI355X GPUs using Primus, achieving a 10% reduction in single-token inference FLOPs compared to DeepSeek-V3.2.
AWS announced a new method to embed Quick Sight visuals in React apps with Cognito user authentication, enabling fine-grained access control for embedded analytics.
Amazon released Quick Automate to help enterprises build agentic automations, enabling AI agents to adapt and collaborate across systems, with a focus on scalable and reliable operations.
AWS detailed how to deploy OpenAI Codex with LiteLLM on Amazon ECS and Amazon Bedrock to provide centralized enterprise controls for generative AI coding agents, enabling budgeting and access management.
Amazon Bedrock AgentCore enables AI to assist in software development workflows, with reference implementations showing how it automates ER diagram generation and code security analysis.