Monitor your training runs with the Weights & Biases mobile app

2026-03-16 · Source: Weights & Biases · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, short

Summary

Weights and Biases has released a new iOS mobile application designed for AI researchers and engineers to monitor their machine learning experiments in real time. The app allows users to track active and recent runs, view live metrics such as accuracy and loss curves, and receive notifications for critical events. Key features include the ability to search and filter logged metrics, set up custom alerts for metric thresholds (e.g., plateauing loss or dropping validation accuracy), and receive immediate notifications for run failures at the project level. Users can also drill down into specific projects, view all associated runs, and examine project panels. The app aims to provide flexibility, enabling users to stay informed and take quick action on training performance issues or hardware failures from anywhere, thereby saving time and compute resources. It supports both light and dark modes.

Key takeaway

For MLOps engineers managing critical AI training runs, the Weights and Biases iOS app provides essential real-time monitoring and alerting capabilities. You can configure custom notifications for metric thresholds or run failures, allowing you to quickly identify and address issues like non-converging models or hardware problems, even when away from your desk. This proactive approach can significantly reduce wasted compute resources and accelerate experiment iteration cycles.

Key insights

The W&B mobile app provides real-time AI experiment monitoring and alerts on iOS devices.

Principles

• Proactive monitoring prevents costly failures.
• Timely alerts enable rapid intervention.

Method

Install the W&B iOS app, log in, and monitor active runs. Set up metric threshold alerts and project-level run failure notifications to receive real-time mobile alerts.

In practice

• Monitor training loss and accuracy on the go.
• Receive alerts if validation accuracy drops.
• Get notified immediately if a run fails.

Topics

• AI Experiment Monitoring
• Weights & Biases Mobile
• Real-time Metrics
• Training Performance
• Notification Alerts

Best for: MLOps Engineer, NLP Engineer, Computer Vision Engineer, AI Researcher, AI Engineer, Machine Learning Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Weights & Biases.