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Fundamentals

Overview

The Module Deployments focuses on the robust monitoring and management of deployed models. This module is designed to ensure the seamless operation of deployed models by providing tools for inference testing, detailed logging, real-time performance monitoring, and infrastructure event tracking. These features collectively enhance the reliability and efficiency of model deployments, ensuring they meet operational standards and user sexpectations.

Key Features

  • Inference Testing UI: Provides a user-friendly interface for testing deployed models, enabling quick validation and troubleshooting.

  • Comprehensive Logging: Detailed logs capture the runtime behavior and interactions of deployed models, facilitating debugging and performance analysis.

  • Monitoring of Metrics: Monitors key system metrics such as CPU, GPU, and memory usage, alongside model performance metrics like throughput and latency.

  • Infrastructure Event Tracking: Tracks infrastructure-related events that could impact model performance, including system outages, resource constraints, and maintenance activities.