Comet and Vertex

Integrate Comet’s SDK with Vertex AI Pipelines to streamline workflows while benefiting from Vertex’s powerful infrastructure orchestration and model deployment capabilities.

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Why Use Comet With Vertex?

Simplicity

Comet is a comprehensive and user-friendly ML platform that emphasizes a lightweight, API-focused approach. Its features are accessible through a single SDK and practitioners can use a single tool to log, visualize, and share experiment data. Running a Vertex Pipeline requires additional setup and knowledge to accomplish the singular task of training a model.

Reproducibility

Comet is tightly integrated with Git and automatically logs system details so users gain out-of-the-box reproducibility. Vertex does not support logging ancillary details, making it difficult to reproduce a specific training run to verify results.

Customizibility

Comet’s platform is highly adaptable and provides a wide range of customization options, allowing ML practitioners to customize their analysis in any way they see fit. Vertex’s visualization capabilities are fragmented, creating friction in reporting.

Avoid Vendor Lock-in

Comet is infrastructure agnostic, so the code that utilizes Comet can run in any cloud provider’s environment, as well as on-premise. This flexibility enables users to customize their infrastructure according to their specific needs, without worrying about vendor lock-in.

An ML Platform Built to Drive Your LLMOps

ENTERPRISE USER

“Comet has aided our success with ML and serves to further ML development within Zappos.”

Kyle Anderson

Director of Software Engineering

10% reduction in order returns due to size

ENTERPRISE USER

“Comet offers the most complete experiment tracking solution on the market. It’s brought significant value to our business.”

Olcay Cirit

Staff Research and Tech Lead

Service for millions of customers

ENTERPRISE USER

“None of the other products have the simplicity, ease of use and feature set that Comet has.”

Ronny Huang

Research Scientist

Developing speech and language algorithms