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NVIDIA Nemotron 3.5 Lightning is designed for the fast, specialized model execution required by high-volume agentic workloads. With NVIDIA Nemotron 3.5 Lightning on Amazon SageMaker JumpStart, you can access an open model designed for high-volume agentic workloads. With this launch, you can deploy Nemotron 3.5 Lightning from Amazon SageMaker JumpStart without configuring the serving infrastructure […]

This post is a collaboration between AWS and the OpenClaw Foundation. Autonomous agents that browse the web, call APIs, and query Model Context Protocol (MCP) servers can encounter services that require an HTTP 402 Payment Required response to be settled before access continues. To use those services without pausing for a human at every transaction,

Google Gemini and Pixel partner with five global football clubs to elevate the fan matchday experience through AI and Smartphone Technology. ​ 

In multi-turn reinforcement learning (RL), your custom reward function decides what the model actually learns. A subtly wrong reward can quietly teach the wrong thing while every training curve looks healthy. Designing a reward that holds up over multi-turn, agentic tasks is one of the hardest parts of customizing Amazon Nova models. For multi-turn training,

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. In this post, we show you how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime, a capability of Amazon Bedrock AgentCore, and

Sheets canvas turns data into interactive dashboards, custom study trackers, seating charts, and more, all with a simple prompt. ​ 

When you deploy AI agents built with frameworks like Strands Agents, LangGraph, and CrewAI, you need observability into their performance. This holds true whether they run on Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), AWS Lambda, on-premises, or another cloud provider such as Google Cloud Platform (GCP) or Microsoft Azure.

Enterprises across healthcare, manufacturing, retail, and financial services struggle to automate legacy web applications that demand human-like interaction beyond what standard Robotic Process Automation (RPA) can provide at scale. Amazon Bedrock AgentCore Browser Tool, combined with Strands Agents, addresses this gap with a fully managed browser service that lets AI agents drive these legacy interfaces

Mergers and acquisitions (M&A) teams face a persistent challenge: conducting thorough due diligence on multiple acquisition targets while maintaining speed and analytical rigor. Teams often spend weeks manually reviewing targets before identifying viable opportunities. Amazon Bedrock AgentCore is a platform to build, connect, and optimize agents at scale, with any framework or model. It can

Your enterprise data lives in dozens of systems, but often the work happens in Microsoft 365. Amazon Quick bridges that gap as an AI assistant grounded in your data, now available directly inside Microsoft Word, Excel, PowerPoint, and Outlook. These extensions don’t require you to adopt a new application or change how you work. Instead,