AI Operations & Management

15 summarised stories about AI Operations & Management, each linking back to the original source. Browse all topics →

Wednesday, 15 July 2026

Monitor Amazon SageMaker Pipelines cross-account with custom Amazon CloudWatch dashboards

AWS Machine Learning 23 hours ago

AWS published a guide for monitoring SageMaker Pipelines across multiple AWS accounts and regions using CloudWatch custom dashboards with a serverless hub-and-spoke architecture. The solution uses EventBridge, Lambda, and DynamoDB to collect pipeline execution data in real-time from source accounts and display unified status, timing, and step details on a centralized dashboard. Organizations can reduce operational overhead from manually switching between accounts and regions, and extend the monitoring to other ML workloads like Step Functions or Batch jobs.

AI Operations & Management AWS Cloud Computing MLOps

New in Together GPU Clusters: Reliability and control for production GPU clusters

Together AI 1 day ago

Together AI released updates to its GPU Clusters platform including passive health checks that monitor running workloads for failures like GPU bus drops and thermal throttling, auto node repair with human approval, and a rebuilt Slurm-on-Kubernetes stack addressing daemon crashes and process cleanup. The platform added operational features including a redesigned cluster overview dashboard showing health and utilization, external OIDC authentication for per-user Kubernetes access, and startup scripts for self-serve node customization. These changes reduce incident resolution time from hours to minutes and enable teams to manage clusters at scale without sharing admin credentials or performing manual node setup.

AI Infrastructure AI Operations & Management Cloud Computing