Track & Evaluate:
Comet x SageMaker
Match the power of SageMaker with the precision of Comet’s end-to-end model evaluation platform. Comet now comes fully integrated and ready to use in any SageMaker project.
Trusted by the most innovative ML teams
Run Comet Inside SageMaker Studio, Notebooks, and Pipelines
SageMaker’s integrated development environment includes everything you need to build, train, and deploy machine learning models at scale — with Comet’s suite of world class tracking, observability, and optimization tools available every step of the way.
- Fully managed machine learning services, tools, and workflows
- High-performance, low-cost ML infrastructure for any use case
- One integrated dev environment to build, train, & deploy ML models at scale
- Centralized access to notebooks, debuggers, profilers, pipelines, MLOps, and more
- Seamless ML and GenAI model evaluation across dev and production lifecycles
- Experiment tracking, debugging, dataset versioning, and visualization for SageMaker training runs
- Model production monitoring to stay ahead of data drift, accuracy issues, and error metrics
- LLM evaluation for GenAI applications, with tracing, annotation, pre-configured LLM-as-a-judge metrics, and more
Free Access to Opik for GenAI Application Development
SageMaker customers who purchase Comet’s integration receive full access to Opik, Comet’s leading end-to-end LLM evaluation platform.
Opik automates LLM tracing, eval metrics, unit testing, production dataset creation, and more, to support continuous optimization of your app’s interactions with LLMs.
Fully Managed & Secure
Each Comet deployment through Amazon SageMaker Partner AI Apps is securely isolated and provisioned automatically, ensuring data privacy.
Existing SageMaker workflows, identities, and session management extend to Comet for a truly seamless integration.
Getting Started with Comet
The full Comet environment – including Opik – appears directly inside the SageMaker console and is deployed, managed and supported by AWS.
Add just a couple lines of code to your existing workflow to start logging, analyzing, and comparing your ML model training runs and LLM inputs and outputs, with results displaying in your Comet workspace within SageMaker.
An AI Platform Built for Enterprise, Driven by Community
“The announcement of Comet being available as a SageMaker partner app will simplify our technology estate and developer workflow, allowing our data scientists and ML engineers a better experience for experiment tracking, cataloging and registering models, and monitoring those models in production.”
Greig Cowan
Head of AI and Data Science Innovation, Natwest
Get started today for free.
No credit card required, try Comet with no risk and no commitment.