Model Deployment

247 summarised stories about Model Deployment, each linking back to the original source. Browse all topics →

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NVIDIA OpenAI Anthropic The New Stack Hugging Face Google

Monday, 24 August 2026

Introducing new Ray capabilities on SageMaker HyperPod

Amazon Web Services 1 month ago 10

Amazon SageMaker HyperPod added new Ray capabilities that integrate Ray on HyperPod’s managed EKS infrastructure for foundation-model training and serving. The rollout provisions four pre-built Grafana dashboards in Amazon Managed Grafana (Ray Core, Ray Data, Ray Train, and Ray Serve). Users can now create and monitor Ray clusters from SageMaker Studio with automatic Ray Dashboard access, out-of-the-box observability, and HyperPod-backed resilience features like node recovery, hung job detection, and tiered checkpointing.

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AI Infrastructure Model Deployment

Physical AI’s moment has arrived – but moving from demo to deployment is the hard part. AWS wants to fix that

SiliconANGLE 1 month ago 51

AWS rolled out cloud-to-edge solutions to help customers operationalize physical AI, which extends foundation-model capabilities into robots and other devices that perceive and act in real environments. The article cites an out-of-distribution test where Config’s generative multi-view augmented data raised success rates from 8.3% to 75%. This shifts physical AI from demos toward repeatable deployments by emphasizing end-to-end pipelines for data, simulation, edge inference, fleet management, and continuous cloud-to-device feedback loops.

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AI Infrastructure Robotics Model Deployment AWS

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