Amazon Web Services (AWS) has launched the AWS Neuron Monitor container, a tool designed to enhance the monitoring capabilities of AWS Inferentia and AWS Trainium chips on Amazon Elastic Kubernetes Service (Amazon EKS). This solution simplifies the integration of monitoring tools such as Prometheus and Grafana, allowing management of machine learning (ML) workflows with AWS…
The growth and advancements in machine learning (ML) models have led to huge models that require a significant amount of computational resources for training and inferencing. Consequently, monitoring or observing these models and their performance is crucial for fine tuning and cost optimization. AWS has developed a solution to this using some of its tools…
Many organizations are using machine learning (ML) to enhance their business decision-making processes through automation and by leveraging large distributed datasets. However, the sharing of raw, sensitive data in different locations brings about significant security and privacy risks. To combat these issues, federated learning (FL), a decentralized and collaborative ML training technique, is used. Traditional…