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.
Save OPEX, CAPEX, and ML-Ops resources by increasing resource utilization, working in parallel and making sure no resource is stalled
Easy to launch, manage, and prioritize experiments, all in one place; Integrates with existing enterprise user access control systems to avoid security risks
ML-Ops and data science single working environment, optimized for effective development & collaboration between IT & data scientists
Dead-simple to manage DGX resources from within Allegro AI. With or without K8S
Seamlessly works with your existing tools - e.g. Kubernetes, Slurm, all data lakes, object stores, and data science frameworks & tools
ML-Ops and data science single working environment, optimized for effective development & collaboration between IT & data scientists
© 2021 Allegro AI, All Rights Reserved.