D2iQ Kaptain
Cloud Native End-to-End Machine Learning with D2iQ Kaptain
Why D2iQ Kaptain?
Go From Prototype to Production in Hours Instead of Months
Develop and Deploy AI and ML Workloads at Scale
Effective Collaboration Across Every Infrastructure
Enterprise Security and Multi-tenancy
Unlock the Power of ML on Kubernetes with the Kaptain SDK
No Kubernetes Knowledge, No Problem. Train, Tune, and Deploy Models Without Leaving Your Notebook
Ready for Day 2 Production
Accelerate Time to Value, Save on Production Costs
Features and Benefits
D2iQ Kaptain SDK
The Kaptain SDK hides the complexities of Kubernetes and exposes what is relevant to data scientists: training, tuning, and deploying models with Python in notebooks.
Distributed Training
Dynamically distribute model training jobs to run at scale across a large set of resources, thereby optimizing the cost and performance efficiently.
AutoML
Optimize model performance using any of five built-in algorithms for hyperparameter tuning: run distributed experiments in parallel to shorten the time to value.
ML Pipeline Automation and Portability
Automation platform with built-in lifecycle management and operational expertise to achieve greater productivity and reproducibility.
Notebooks-First Approach
Leverage Jupyter-as-a-Service as the primary interface to reduce friction between data science and machine learning engineering for training, tuning, and model deployment.
Comprehensive Platform to Support End-to-End ML Projects
Shorten the onboarding of new users and ML initiatives with a complete toolkit powered by Kubeflow and a toolkit of Python deep learning frameworks and NLP libraries.
Enterprise Security and Multi-tenancy
End-to-end secure enterprise-grade ML platform with multi-tenancy, authentication, and identity services to run entire ML pipelines securely and efficiently.
GPU Support
Access GPUs (shared resources) in a safe and stable environment, without the hassle of dealing with drivers.
ML in a Box with NVIDIA
Get a robust Kubernetes platform, a powerful ML platform, and the NVIDIA DGX in a certified and tested solution.
Member of LF AI and Data Foundation
Enable closer collaboration, integration, and interoperability across AI, ML, Deep Learning, and Data projects.