Scale and simplify ML workload monitoring on Amazon EKS with AWS Neuron Monitor container
Machine Learning Blog
This article introduces the AWS Neuron Monitor container, a new tool for monitoring machine learning (ML) workloads running on AWS Inferentia and AWS Trainium chips in Amazon Elastic Kubernetes Service (Amazon EKS). The Neuron Monitor container simplifies the integration of monitoring tools like Prometheus, Grafana, and CloudWatch Container Insights.
Specifically, the article covers:
- Solution overview: Deploying the Neuron Monitor DaemonSet across EKS nodes to collect and analyze performance metrics from ML workload pods, which can be visualized through Prometheus, Grafana, and CloudWatch Container Insights
- Configuring CloudWatch Container Insights for enhanced observability of Neuron metrics
- Setting up Prometheus and Grafana to scrape metrics from the Neuron Monitor container and visualize them
- Cleanup steps to remove the resources created for this solution
- Conclusion: The Neuron Monitor container simplifies monitoring and optimizing ML workloads on Amazon EKS with AWS Inferentia and Trainium chips
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