From LLMs to computer vision and everything in between, Valohai is an MLOps platform designed for ML pioneers. It combines all the capabilities you’ve been missing into one platform that just makes sense.
Why Valohai?
Store and share the entire model lifecycle
Collaborate on models, datasets, and metrics.
With Valohai, you can:
- Automatically version every run, preserving a full timeline of your work.
- Compare metrics across different runs to ensure you and your team are making continuous progress.
- Curate and version datasets without duplicating data.
Run ML workloads on the cloud or on-prem with a single click
Execute any ML job on any infrastructure using just one click, a single command, or an API call.
With Valohai, you can:
- Run workloads seamlessly on any infrastructure.
- Orchestrate ML workloads on any cloud or on-premise environment.
- Deploy models for both batch and real-time inference while continuously tracking key metrics.
Build with total freedom and use the libraries you want
Your code, your rules—any language or framework is welcome.
With Valohai, you can:
- Transform your scripts into a powerful ML pipeline with just a few lines of code.
- Develop in any language and incorporate any external libraries you need.
- Integrate with your existing systems, such as CI/CD, using our API and webhooks.
How to get started with Valohai?
Content | Description |
---|---|
Quickstart | Focus on the essentials. Run a single job with no extra steps. |
Valohai Fundamentals | Follow a learning path with step-by-step tutorials and a knowledge check. |
Run a Computer Vision Example | Skip coding. Simply import a sample Git repository and run a computer vision example. |
Run a LLM Example | Skip coding. Simply import a sample Git repository and run an LLM example. |