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AWS Machine LearningScaling MoE reinforcement learning on Amazon EKS with EFA and DeepEP with 40% more throughputLearn how to scale Mixture-of-Experts (MoE) reinforcement learning on Amazon EKS using Elastic Fabric Adapter (EFA) and DeepEP. This post presents an architecture that combines Amazon EKS, EFA, and Amazon S3 and increased aggregate reinforcAWS Machine LearningAccelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPodLearn how to run SkyRL, an open-source reinforcement learning framework, on Amazon SageMaker HyperPod to post-train a Qwen3-VL-8B vision-language model with GRPO. This walkthrough covers building the container image, launching a Ray clusterAWS Machine LearningNarrateAI: production-ready LLM quality assurance on Amazon BedrockNarrateAI delivers production-ready LLM quality assurance on Amazon Bedrock. This post details five techniques—adaptive pipeline orchestration, cross-account multi-model failover, real-time streaming evaluation, composite evaluation, and daAWS Machine LearningDeploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AIDeploy the publicly available Qwen3-TTS-12Hz-1.7B-Base text-to-speech model from Amazon SageMaker JumpStart to a fully managed, real-time endpoint, and clone a voice from a short reference clip. Cross-lingual cloning preserves the speaker'sAWS Machine LearningHow Datacor built self-service rental analytics with Amazon Quick SightLearn 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 dAWS Machine LearningMulti-Region training with Amazon SageMaker HyperPod and QumuloAmazon 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 remAWS Machine LearningSpeaker-labeled transcription with WhisperX on SageMaker AIThe 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, speakerAWS Machine LearningBuild a multi-account AI agent with AgentCore Gateway and MCPBuild 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, whileAWS Machine LearningAderant builds intelligent ticket triage with Amazon NovaLearn 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.AWS Machine LearningFrom portal-hopping to instant answers: HEMA’s journey with MCP and Amazon BedrockHEMA, a 100-year-old Dutch retailer, turned developer portal-hopping into instant answers by building HAL, an internal AI assistant on Amazon Bedrock AgentCore. Using Model Context Protocol (MCP), HAL delivers governed knowledge inside the AWS Machine LearningAgentic conversational video intelligence built on AWSLearn 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 servicAWS Machine LearningUse open weight models as your AI coding agent with Amazon BedrockPair 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 taAWS Machine LearningBring more intelligence to everyday work with GPT-6 Sol and GPT-6 Luna on Amazon BedrockGPT-6 Sol and GPT-6 Luna are now generally available on Amazon Bedrock, giving you more options to match intelligence and efficiency to each workload.AWS Machine LearningClaude Opus 5.5 is now available on AWSClaude Opus 5.5, Anthropic's most capable Opus model for agentic coding, knowledge work, and long-running tasks, is now available on Amazon Bedrock and Claude Platform on AWS. This post covers what's new in Opus 5.5, practical guidance, andAWS Machine LearningEvaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCoreSkills let you encode domain-specific procedures as reusable, portable instructions for agents, but a fluent answer doesn't prove the agent picked the right skill or followed it. Learn how to measure skill selection and instruction followinAWS Machine LearningHow Reactiv automates mobile commerce 80% faster with Amazon Bedrock AgentCoreReactiv used Amazon Bedrock AgentCore to build a multi-agent AI Scheduler that autonomously refreshes Shopify merchants' mobile apps on a schedule, reducing merchant configuration time by 80% and getting to production 33% faster.AWS Machine LearningRight-size generative AI endpoints with concurrency sweeps on Amazon SageMaker AIConcurrency sweeps help you right-size a generative AI endpoint on Amazon SageMaker AI by systematically benchmarking it at increasing load levels. This post walks through deploying a model, running automated concurrency sweeps with the CreAWS Machine LearningHow Trane gets building insights 60x faster with Amazon Bedrock AgentCoreIn about four weeks, Trane Technologies built an AI-powered agentic solution on Amazon Bedrock AgentCore that reduced a 20-minute, multi-screen building diagnostic workflow to a 20-second natural language interaction, a 60x improvement in tAWS Machine LearningHow Tata Elxsi detects industrial safety risks in seconds on AWSLearn how Tata Elxsi built IRIS, a real-time industrial safety platform on AWS. IRIS filters camera video at the edge, streams metadata through Amazon Kinesis, runs computer vision on Amazon SageMaker AI, and correlates detections into highAWS Machine LearningExtending public sector intelligence with Agentforce and AWSPublic sector agencies process large volumes of unstructured evidence, such as body camera footage and scanned documents. This post shows how to combine Amazon Bedrock Data Automation with the Model Context Protocol (MCP) to turn that data