AWS Trainium and AWS Inferentia Monitoring | Datadog
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AWS Trainium and AWS Inferentia Monitoring

Gain full visibility into real-time chip performance to optimize resource utilization, troubleshoot issues, and seamlessly scale ML infrastructure.

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Improved Performance and Resource Efficiency

  • Prevent resource waste while ensuring fast and efficient ML performance
  • Avoid overspending and prevent performance bottlenecks with real-time monitoring of resource usage
  • Lower costs and maximize AWS hardware ROI by improving the efficiency of ML operations
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Proactive Issue Detection and Reliability

  • Identify and resolve potential hardware or software issues to avoid costly downtime
  • Maintain smooth and reliable ML operations with proactive monitoring of Trainium and Inferentia instances
  • Visualize and manage alerts for your ML infrastructure with out-of-the-box dashboards and monitors in Datadog
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Complete Visibility Into LLM Operations

  • Easily manage, optimize, and scale your infrastructure with full insight into your AI and LLM workloads
  • Allocate resources efficiently as workloads grow with real-time insights
  • Ensure your training jobs can handle increased workloads without delays or performance degradation with Datadog’s real-time monitoring
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Generative AI Monitoring

Monitor your Foundation Model usage, API performance, and error rate with runtime metrics and logs.

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Platform Datasheet

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Next-generation ML Monitoring

Monitor and your entire machine learning stack with Datadog.

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AWS Trainium & Inferentia

Monitor and optimize deep learning workloads running on AWS AI chips

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OpenAI

Monitor token consumption, API performance, and more.

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NVIDIA DCGM Exporter

Gather metrics from NVIDIA’s discrete GPUs, essential to parallel computing.

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