Unleash your pioneering spirit
Being the first to solve complex problems is hard.
Valohai makes it easier.
Valohai is what an ML pioneer needs.
Nothing more. Nothing less.
A platform that stores all knowledge.
Knowledge repository
Valohai automatically tracks every asset from code and data to logs and hyperparameters, offering full lineage of how the dataset were generated and models were trained. In Valohai, all the runs are reproducible by design.
Everything you do in the Valohai platform can also be shared with your team, and there is no need for separate model registries or metadata stores.
Book a DemoShared and stored for your convenience
Experiments
Metrics, metadata, logs – all versioned automatically.
Datasets
Collect and combine files into versioned datasets.
Models
Inspect the full lineage of every model ever trained.
A platform that makes cloud simple.
Smart Orchestration
The Valohai Platform allows you to easily run on the powerful cloud machines with a single click (UI) or a single command (CLI & API). Model deployment, complex multi-cloud pipelines, and massive grid searches are all handled optimally by the auto-scaling queue.
Valohai can be set up on any cloud vendor or on-premise setup to automatically orchestrate machines and deployments so you don’t need to worry about spinning up and shutting down costly resources.
Book a DemoIntegrates with these and many more.
Runs on but not limited to.
A platform that doesn’t limit your creativity.
Developer core
Valohai’s streamlined world class APIs ensure that steps integrate together, regardless of who wrote the the code.
Combine Jupyter notebooks with datasets from Spark, augment your image data with a 3D engine, automatically train 100 different models and deploy the best one – without touching a button. Pipelines can be integrated any existing systems through the API and pipelines can be triggered to retrain models whenever needed.
Book a DemoFlexibility is important when you’re building something new.
Any framework, any language
Anything you can put in a Docker container, you can run in Valohai.
Notebooks and scripts
Collect and combine files into versioned datasets.
Integrate as you see fit
Inspect the full lineage of every model ever trained.