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Why should you monitor Google JAX?
Google JAX is an open-source machine learning library widely employed to develop and train neural network-based deep learning models. New Relic's Google JAX quickstart performance monitoring provides out-of-the-box observability for Google JAX models. By using the Google JAX quickstart, you will be able to:
Identify performance bottlenecks:
Enhance the efficiency of your Google JAX models by pinpointing and optimizing performance-heavy areas.
Ensure model accuracy:
Monitor the output of your models in real-time to detect and correct discrepancies, thereby ensuring the desired model performance.
Error identification and resolution:
Active monitoring allows for quick detection and rectification of errors, ensuring the reliability and robustness of your Google JAX models.
Comprehensive monitoring quickstart for Google JAX models
With New Relic's Google JAX quickstart, you can actively oversee the performance of your Google JAX models, gaining insights to ensure they run effectively and efficiently, especially in real-world deep learning applications.
What’s included in the Google JAX quickstart?
New Relic Google JAX monitoring quickstart provides quality out-of-the-box reporting:
- Obtain insights into how your Google JAX models are performing in real-time
- Alerts on model performance: Set up proactive notifications for any unusual behavior or degradation in the performance of your models