Thursday, 22 October 2026 Updated 45 min ago 44 stories Sources RSS

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Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart

Muse Spark Open, Meta's coding-optimized open-weight model, is now available in Amazon SageMaker JumpStart. Deploy it to a SageMaker AI endpoint in your own AWS account using SageMaker Studio or the SageMaker Python SDK, and run your first…

Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart

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Trust in Depth: Giving agents more autonomy without losing control

Enterprise leaders want AI agents to take on more work but don't fully trust them to act correctly every time. Trust in Depth is AWS's layered approach-scope, know, bound, observe, and prove-that lets agents act on…

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Generate presentations with Amazon Bedrock AgentCore

This post walks you through building an AI agent system with Amazon Bedrock AgentCore that automates PowerPoint presentation creation from enterprise documents. A supervisor agent, Retrieval Augmented Generation, and Amazon Bedrock…

Generate presentations with Amazon Bedrock AgentCore

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How Tamnoon built AI-powered cloud security remediation with Amazon Bedrock

Learn how Tamnoon built Tami, an agentic cloud remediation orchestrator on Amazon Bedrock that autonomously investigates and safely remediates cloud security findings from CNAPP and cloud-native sources. The approach drove a 90%+ reduction…

How Tamnoon built AI-powered cloud security remediation with Amazon Bedrock

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Manage private pricing offers for Amazon Bedrock with managed entitlements

Managing AI model access across dozens or hundreds of AWS accounts creates friction when each account must accept AWS Marketplace Private Pricing Offers individually. This post shows two ways to activate MPPO entitlements in AWS License…

Manage private pricing offers for Amazon Bedrock with managed entitlements

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Deploy decision models with llama.cpp on Amazon SageMaker AI

Learn how to deploy decision models with llama.cpp on Amazon SageMaker AI. This technical how-to serves OpenAI-compatible chat completions with the AWS Deep Learning Container for llama.cpp, then extends the runtime with SemIf to return…

Deploy decision models with llama.cpp on Amazon SageMaker AI

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Run multi-node inference workloads using Ray LLM Deep Learning Containers

Learn how to deploy one large language model across two GPU nodes on Amazon EKS using the multi-node Ray LLM Deep Learning Containers, with separate prefill and decode nodes behind one OpenAI-compatible endpoint. The pre-built container…

Run multi-node inference workloads using Ray LLM Deep Learning Containers

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ICYMI: What landed for AI builders in September 2026

A monthly recap of the latest Amazon Bedrock, Amazon Bedrock AgentCore, and Strands updates from September 2026: broader model choice, faster serverless agents with built-in evaluation, and automated knowledge base syncing with native…

ICYMI: What landed for AI builders in September 2026

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How Postman runs Agent Mode for 40 million developers on Amazon Bedrock

Building an AI agent that works in a demo is a different problem from running one for 40 million developers. Postman and AWS share the architectural patterns behind Agent Mode: controlling tool sprawl, exposing schema-based reads, and…

How Postman runs Agent Mode for 40 million developers on Amazon Bedrock

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How Datacor built self-service rental analytics with Amazon Quick Sight

Learn how Datacor built a self-service rental analytics experience for gas and welding distributors by embedding Amazon Quick Sight dashboards and natural language querying into its TrackAbout platform, powered by an automated cross-cloud…

How Datacor built self-service rental analytics with Amazon Quick Sight

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Multi-Region training with Amazon SageMaker HyperPod and Qumulo

Amazon SageMaker HyperPod and Cloud Native Qumulo let you place training compute in one AWS Region while keeping your dataset in another. This post shares the architecture and validation results from a cross-Region training run, where a…

Multi-Region training with Amazon SageMaker HyperPod and Qumulo

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Speaker-labeled transcription with WhisperX on SageMaker AI

The AWS WhisperX Deep Learning Container packages Whisper, wav2vec2 forced alignment, and speaker diarization into a GPU-ready image. Learn how to deploy it to Amazon SageMaker AI real-time and asynchronous endpoints for word-level…

Speaker-labeled transcription with WhisperX on SageMaker AI

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Build a multi-account AI agent with AgentCore Gateway and MCP

Build a multi-account architecture that keeps each team's data in its own AWS account while giving AI agents a unified way to query across them. A central platform account runs the agent using Amazon Bedrock AgentCore Gateway and MCP…

Build a multi-account AI agent with AgentCore Gateway and MCP

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Aderant builds intelligent ticket triage with Amazon Nova

Learn how Aderant built an intelligent ticket triage system on Amazon Nova Lite through Amazon Bedrock, automating context gathering, classification, routing, and knowledge enrichment for its cloud operations team.

Aderant builds intelligent ticket triage with Amazon Nova

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Agentic conversational video intelligence built on AWS

Learn how to build a conversational video intelligence solution on AWS using an agentic architecture. A single Strands Agents SDK agent orchestrates Amazon Bedrock, Amazon Rekognition, and Amazon Transcribe at runtime, deciding which…

Agentic conversational video intelligence built on AWS

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Use open weight models as your AI coding agent with Amazon Bedrock

Pair OpenCode, an open-source terminal-native AI coding agent, with open weight models on Amazon Bedrock to get a secure, flexible, pay-per-use coding assistant. Learn how to configure multi-model workflows, match the right model to each…

Use open weight models as your AI coding agent with Amazon Bedrock

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