The Leading Enterprise MLOps Platform for Innovative ML Teams
Why Use Comet With Sagemaker?
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 any type of data related to their experiments. Other platforms force users to use multiple services to accomplish the singular task of training a model.
Extensibility
Comet integrates with a variety of external libraries and tools, allowing users to customize the components of their ML stack for greater flexibility and accuracy in their results. In bundled platforms like Sagemaker, it’s challenging to keep the broad feature set up to date since every new component needs to work with the rest of the platform.
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.
Building reliable machine learning pipelines with AWS Sagemaker and Comet
Successfully executing machine learning at scale involves building reliable feedback loops around your models. As your pipeline grows, you will reach a point where your data can no longer fit in memory on a single machine, and your training processes will have to run in a distributed way.
An ML Platform Built for Enterprise, Driven by Community
Comet’s ML platform is trusted by innovative data scientists, ML practitioners, and engineers in the most demanding enterprise environments.
NLP tools for thousands of researchers
speech recognition with deep learning
