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

Deploy On-Prem or in the Cloud

Send me info

Open Source Machine Learning & Deep Learning Management Platform

Allegro AI offers the first true end-to-end ML / DL product life-cycle management solution with a focus on deep learning applied to unstructured data. At our base is the Allegro Trains open source experiment manager and ML-Ops package.