Valohai

Product overview

Valohai automates the full machine learning lifecycle, from experiment tracking to model deployment, on any cloud or on-premise infrastructure. The platform runs ML workloads inside Docker containers, making it framework and language-agnostic. Every run, model, dataset, and metric is automatically versioned, creating a complete audit trail without manual effort. The platform orchestrates GPU-accelerated training, manages experiment queues with auto-scaling, and handles both batch and real-time inference. Teams collaborate through a shared Knowledge Repository where experiments and results are documented automatically. Valohai's architecture lets organizations bring their own compute from AWS, GCP, Azure, OVHcloud, or private data centers. A partnership with OVHcloud gives European organizations a sovereign cloud option for ML workloads, while on-premise and air-gapped deployments serve sectors with strict data residency requirements. Valohai has published templates for fine-tuning Mistral models on the platform. Founded in Finland in 2016, Valohai serves customers in healthcare (Boston Scientific), geospatial intelligence (Preligens), automotive (Continental), and agriculture (Syngenta). The company partners with Oracle Cloud, making its platform available on the Oracle Cloud Marketplace. A 14-day free trial provides full platform access with complimentary cloud resources. KEY FEATURES: - Automatic versioning of all experiments, models, datasets, and metrics - GPU-accelerated training with auto-scaling compute queues - Framework and language-agnostic execution via Docker containers - OVHcloud partnership for sovereign European ML workloads - On-premise and air-gapped environment support

Sovereignty