Valohai

Valohai is a platform designed to manage the entire lifecycle of machine learning projects. It automates the steps involved in building, training, and deploying ML models, from data preparation and experimentation to running models in production. The platform handles the underlying infrastructure, letting data scientists focus on their code while it takes care of versioning, orchestration, and scalability across different computing environments.

What sets Valohai apart is its infrastructure flexibility. It is cloud-agnostic, meaning it can run ML workloads on-premises or on any major cloud provider like AWS, Azure, and Google Cloud, all from a single interface. The platform automatically versions every run, preserving the code, data, and environment for full reproducibility. It also integrates with popular tools like Hugging Face, Snowflake, and Docker, and its API allows it to fit into existing CI/CD systems.

This tool is a strong fit for data science teams and ML engineers in companies that need to scale their machine learning operations. It's particularly useful for teams working on complex projects like computer vision, natural language processing (NLP), or large language models (LLMs) who want to standardize their workflow, ensure experiment reproducibility, and deploy models efficiently without being locked into a single cloud vendor.