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Category: Machine learning

September 9, 2026Machine learning

Simplify and support your TorchServe workloads using Ray Serve Deep Learning Containers

TorchServe is no longer actively maintained. The official project notice states there […]

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September 8, 2026Machine learning

Take on your most ambitious work with GPT-6 Astra on Amazon Bedrock

GPT-6 Astra from OpenAI brings greater depth and judgment to your most […]

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September 8, 2026Machine learning

Pathway’s brain-inspired architecture development on Amazon SageMaker HyperPod

As AI systems take on more complex tasks, much of the industry’s […]

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September 8, 2026Machine learning

Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes

We are excited to announce feature-level writes for Amazon SageMaker Feature Store. […]

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September 8, 2026Machine learning

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 1

Automating model registration between MLflow and a model registry solves a gap […]

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September 8, 2026Machine learning

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 2

Governing models across accounts is the natural next step once automatic model […]

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September 8, 2026Machine learning

Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6

Choosing the right GPU instance for large language model (LLM) inference is […]

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September 8, 2026Machine learning

Automated agent evaluation with Amazon Bedrock AgentCore and GitHub Actions

Build a continuous integration and continuous delivery (CI/CD) quality gate that deploys […]

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September 8, 2026Machine learning

How DiDi built intelligent contact center QA with Amazon Bedrock

DiDi partnered with AWS to build an intelligent contact center quality assurance […]

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September 8, 2026Machine learning

How HPE Zerto built an agentic troubleshooting system with Amazon Bedrock

This post was co-written by AWS and the HPE Zerto team. If […]

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