DGX-Ready Integrated Solution for ML-Ops & Data Scientists

Allegro Trains is a DGX-Ready experiment management, versioning and ML-Ops solution that reduces time to market and costs of AI projects, by improving workflow efficiencies.

Prevent Inefficiencies in AI Workflows

Reduce Time-To-Market and Costs

Resource Optimization

Save OPEX, CAPEX, and ML-Ops resources by increasing resource utilization, working in parallel and making sure no resource is stalled

Full Visibility & Control

Easy to launch, manage, and prioritize experiments, all in one place; Integrates with existing enterprise user access control systems to avoid security risks

Science & Ops Combined

ML-Ops and data science single working environment, optimized for effective development & collaboration between IT & data scientists

DGX-Ready

Dead-simple to manage DGX resources from within Allegro AI. With or without K8S

Easy Integration

Seamlessly works with your existing tools - e.g. Kubernetes, Slurm, all data lakes, object stores, and data science frameworks & tools

And Much More…

ML-Ops and data science single working environment, optimized for effective development & collaboration between IT & data scientists

Trusted by Industry Leaders

Fits Seamlessly in Your Existing Architecture

Integrate with Tools Already in Play

TensorFlow
Seaborn
Matplotlib
pandas
mxnet
XGBoost
Scikit Learn
PyTorch
Keras
Jupyter
Python
PyTorch Lightning
Deploy On-Prem or in the Cloud

Send me info

Scroll to Top