Inference Endpoints has introduced a new analytics suite that provides deeper insights into model performance and usage. The update brings real-time monitoring, customizable dashboards, and granular metrics to help developers optimize their AI deployments.
"This is a game-changer for teams relying on serverless inference," said a company spokesperson.
Key features include request latencies, error rates, and token consumption per endpoint. Users can now track trends over time and set alerts for anomalies. The analytics are designed to integrate seamlessly with existing workflows, allowing for data export via API.
The rollout is gradual, with all users expected to have access within the next week.