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The Composable Platform for Automatic and Scalable MLOps
Transform your MLOps from craft production into a repeatable assembly line process.
A New Kind of ML Platform
Unparalleled Flexibility
Compose custom infrastructure or pipelines easily using unified configuration and data formats
Simplify Development to Deployment
Seamlessly scale pipelines from local development to batch execution and online serving (REST or streaming) in production
Minimize Glue Code
Less effort in workarounds due to different formats or incompatible schemas
Accelerate end-to-end cycles
Automate the tedious parts of MLOps/Infra and ML Engineering workflows. Focus on your expertise
Data Engineer
Aggregate data sources
Extract & transform data
Feature engineering
Manage training data
Data Scientist
Select models & features
Train & test models
Tune hyperparameters
Experiment & compare models
ML Engineer
Build training pipelines
Build model serving APIs
Scale training & serving
Optimize performance
MLOps Engineer
Manage production releases
Monitor ML deployment
Scale & secure infrastructure
Optimize infrastructure cost
Empower Your Team Across The ML Lifecycle
The Petuum Platform Stack
Built with Composibilty, Automation, Scale, Speed, and Cost in Mind
Any Integration
Integrate any application, code, or image to orchestrate and automate infrastructure management
Training Manager
Manage models & tune hyper-parameters across all pipeline stages with less time and lower compute cost
Deployment Manager
Seamlessly scale pipelines from local development to batch or online (HTTP or streaming) serving in production
CASL Open Source
Use award winning modular tools to train in 80% less time, simplify NLP, simplify annotation and more
Universal Pipeline Representation
Compose pipelines using unified configuration and data formats that seamlessly connect development and deployment
Composable Al Operating System
Compose, manage, and monitor your own custom ML infrastructure that spans multiple systems on a single pane of glass
Research
Powered by cutting edge MLOps thought leadership from an award winning team