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Category: Machine learning

September 18, 2026Machine learning

Amazon SageMaker Inference: 2026 year-to-date launches in review

Generative AI inference is uniquely hard: models are tens to hundreds of […]

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September 18, 2026Machine learning

Introducing Kimi K3 on Amazon Bedrock

Open-weight models are changing the economics of building and deploying AI at […]

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September 18, 2026Machine learning

Deploy Hugging Face models on Amazon SageMaker AI with coding agents

Deploying a Hugging Face model to production means making a dozen decisions: […]

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September 18, 2026Machine learning

The new AgentCore runtime: Elastic, optimized, and consistently fast starts

Agents are no longer experiments. They process claims, write and review code, […]

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September 18, 2026Machine learning

Migrating multi-model AI agents to Amazon Bedrock AgentCore runtime

Organizations building multi-model agentic AI applications face growing infrastructure complexity. Managing container […]

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September 18, 2026Machine learning

Introducing Amazon SageMaker HyperPod Inference Gateway

Eliminate GPU waste. Reduce first-token latency by up to 82%. Install one […]

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September 17, 2026Machine learning

Reduce time-to-hire for quality candidates with AI-powered Amazon Connect Talent

Hiring at scale in industries such as retail, logistics, hospitality, and others […]

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September 17, 2026Machine learning

How MRH Trowe enabled secure self-service AI agents in financial services

Basic AI chat isn’t enough for financial services organizations that need secure, […]

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September 17, 2026Machine learning

A shared agentic platform for Wood Mackenzie, on Amazon Bedrock AgentCore

Building a working agentic prototype takes an afternoon. Getting it to production […]

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September 17, 2026Machine learning

A serverless, data-driven Git metrics dashboard using Amazon Quick Sight

Git activity is one of the richest signals engineering teams produce that […]

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