|Datasets Building||Model Training||Production Serving|
|Transform raw data into actionable datasets. Semi-automated dataset verification & validation. Import your existing data and feel at home with Jupyter Labs notebooks.||Pre-configured tasks from OCR to object detection, segmentation, text and tabular data classification, regression and autoencoders. Lower data requirements and accelerated training with pre-trained models.||Verify and validate all models safely from within the platform. Safely publish models to production with a single click.|
Quickly put trained models into production. Monitor GPU usage and dispatch models as required for your applications.
Build and test datasets from Jupyter notebooks. Auto-previsualization for all tasks, from tabular data to text and images. Dataset validation is automated and best hyperparameter presets are provided for a variety of models. Fine-grained control remains for experts.
Train and monitor live metrics. Distribute jobs on one or more GPUs. Archive all experiments, compare results and publish best models to production safely.
From Cloud to Desktop and Edge, the best in-production performances. Full C++-11 Open Source server eases deployment with top performances from virtual to bare-metal.