Monitor AWS Trainium and AWS Inferentia with Datadog for holistic visibility into ML infrastructure

AWS Inferentia and AWS Trainium are AI chips designed for building and deploying generative AI models, which require a large number of accelerated compute instances. Observability plays a crucial role in ML operations, enabling users to improve performance, diagnose failures, and optimize resource utilization. Datadog provides real-time monitoring for cloud infrastructure and ML operations, offering visibility through LLM Observability and over 800 integrations with cloud technologies. With the AWS Neuron integration, users can track the performance of their Inferentia- and Trainium-based instances, ensuring efficient inference, optimizing resource utilization, and preventing service slowdowns. The integration collects metrics and logs from these instances and sends them to the Datadog platform, providing an out-of-the-box dashboard for monitoring infrastructure health and performance. Key performance metrics include execution status, resource utilization, and vCPU usage, which help identify issues in real-time and optimize infrastructure as needed.