NVIDIA Nemotron 3.5 Lightning, a fast open model for high-volume agentic workloads, is now available in Amazon SageMaker JumpStart, allowing deployment without configuring serving infrastructure.
Amazon Bedrock AgentCore payments integrates with OpenClaw agents to enable programmatic, bounded payments for autonomous agents, using wallet providers like Coinbase or Stripe Privy and protocols…
Amazon Nova Forge introduces custom reward functions for multi-turn reinforcement learning (RFT) using Group Relative Policy Optimization (GRPO), allowing developers to define reward logic through…
A common challenge in building agentic workflows is mixing managed foundation models (FMs) with your own cost-optimized or domain-specific models, without rewriting your agent framework to do it.
Amazon Bedrock AgentCore Browser Tool is a fully managed, cloud-based browser service that enables AI agents to automate legacy web applications through secure, isolated sessions, integrating with…
Amazon Quick for Microsoft 365 extensions bring agentic AI capabilities directly into Word, Excel, PowerPoint, and Outlook, allowing users to access connected data and perform document editing…
Amazon Bedrock now supports granular cost attribution via CUR 2.0 with IAM principal data, enabling per-user and per-application cost tracking through Amazon Athena queries and CUDOS dashboards.
OneAdvanced deployed over 50 AI agents on UK-sovereign AWS by self-hosting Llama 4 Maverick and Llama Guard 4 on Amazon SageMaker AI, using vLLM on p5.48xlarge instances in the London region.
Amazon Bedrock AgentCore payments, a capability for AI agents to make governed payments, was introduced in May 2025 in partnership with Coinbase and Stripe.
Amazon SageMaker HyperPod introduces a tiered KV cache architecture using Curvine, a distributed cache filesystem, to extend KV cache across GPU, CPU, and shared NVMe, enabling cross-replica cache…
This post was co-written by ONESTRUCTION, Inc. and Amazon Web Services Japan G.K. as part of GENIAC (Generative AI Accelerator Challenge) Phase 3, with technical advisory from the AWS Generative AI…
This post is co-written with Ry Rainey and Graham Gibson from Pixieset. Photographers and artists are among the most skeptical audiences for generative AI.
This post is co-written with Mark Himelfarb and Garrett Wilkerson from First Orion. First Orion ’s engineering teams were shipping faster than quality assurance (QA) could test, until Amazon Nova Act…
AI administrators deploying Claude Code and Claude Desktop across their workforce need centralized controls over authentication, model access, cost attribution, and spend enforcement.
Cohere Health built Cohere Policy Studio using Amazon Bedrock AgentCore to digitize clinical policies, enabling multi-tenant architecture and managed agent runtime for prior authorization automation.
Amazon Bedrock is used as the core reasoning engine in a system that automates root-cause analysis of application errors by combining CloudWatch logs, Lambda, and the Strands Agents SDK.
AWS Generative AI Innovation Center created an automated system using constraint programming and custom tree search to determine NHL playoff clinching scenarios, validated against official NHL…
Amazon announced temporal policies for Amazon Bedrock AgentCore, which enforce stateful authorization rules by evaluating each request against the agent's session history.
Amazon Bedrock AgentCore gateway now supports rate limiting, allowing per-user control over traffic to tools, inference models, and agents through request, token, and connection limits.
Amazon Bedrock AgentCore introduces temporal policies powered by Dogwood (a new open source policy language) and rate limiting in the gateway, enabling teams to control agent behaviors across…
AWS announced a reference pattern to collect OpenTelemetry metrics from Codex clients using Amazon Bedrock and send them to Amazon CloudWatch, enabling visibility into adoption, consumption, and…
Amazon Bedrock introduces two paths to enforce single-Region data residency for Claude Code: Path 1 uses the Mantle endpoint with native single-Region routing in seven Regions (Ireland, Stockholm,…
Amazon announces Agent Skills for Automated Reasoning policies in Amazon Bedrock, a suite of six open-format skills that guide coding agents through the full lifecycle of building, testing,…
Amazon Bedrock and AWS Lambda are used to build an agentic app deployer called PDI Brew, which allows non-technical employees to describe internal tools in plain English and have them automatically…
Amazon SageMaker Python SDK v3 now includes generative AI inference recommendations directly in notebook workflows, enabling benchmarking, deployment recommendations, and automated deployment of…
LendingTree built a multi-agent mortgage assistant on Amazon Bedrock, using three agents (supervisor, education, matching) coordinated via LangGraph and MCP.
Mobileye used Amazon Bedrock AgentCore to deploy an AI support agent that reduced response times by 90% and achieved over 95% accuracy, with zero infrastructure management, and later turned it into a…
Amazon describes how they built an MCP bridge to enable their AgentCore-hosted AI agent to access local MCP tools, using WebSocket and native messaging to tunnel MCP messages between the remote…
Amazon Bedrock AgentCore's harness is now generally available, with a new open-source community node for n8n that allows building production AI agents with persistent memory, tools, and model choice…
When a foundation model needs to answer a question about last week’s earnings call, yesterday’s regulatory change, or this morning’s weather forecast, it needs knowledge it was never trained on.
Amazon Bedrock AgentCore introduces a fully managed browser service that renders JavaScript-heavy pages reliably, enabling automated web insight extraction pipelines.
AWS and Formula 1 launched the Data Accelerator, an agentic AI solution on Amazon Bedrock AgentCore that automates data source onboarding and anomaly detection.
Amazon Bedrock announces automatic policy refinement for Automated Reasoning checks, with two modes: Iterative Refinement for rule issues and Ambiguous Variable Refinement for language issues.
Open weight models have become powerful enough to handle complex tasks such as multi-step agentic workflows, advanced reasoning, and long-horizon coding.
Without the ability to track machine learning (ML) model prediction quality, organizations only realize they have issues when their customers complain or when they conduct spot checks, which…
The problem: Prompt engineering at scale is still painful Migrating prompts to new models on Amazon Bedrock, or optimizing them for your current model, is still one of the most manual parts of…
Amazon Bedrock AgentCore Identity now supports Private Key JWT client authentication for agents. With Private Key JWT client authentication, your agents can authenticate to a downstream identity…
Sarah Chen manages 12 assembly lines and 2,000 machines. Before her 10 AM production review, she needs one answer: Which lines need attention this week? Simple question. Painful journey.
can turn a five-day churn-response cycle into one that takes minutes. Last quarter, a mid-size SaaS company lost 12% of its at-risk accounts because the retention team took five days to identify and…
Today, the Model Context Protocol (MCP) published its 2026-07-28 specification, the largest and most significant revision of the protocol since its launch.
As artificial intelligence applications evolve from simple chatbots to sophisticated autonomous systems, organizations face new challenges in orchestrating complex multi-agent workflows that can…
Amazon· 18h ago