Valohai

The MLOps platform for ML pioneers.

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Overview

Valohai is an MLOps platform designed for data scientists and machine learning engineers to manage their entire machine learning workflow. It helps teams to automate their ML pipelines, from data preparation and model training to deployment and monitoring. Valohai is cloud-agnostic and works with any language or framework.

✨ Key Features

  • Automated ML Pipelines
  • Experiment Tracking and Version Control
  • Scalable Compute Orchestration
  • Model Deployment
  • Collaboration and Project Management
  • Cloud-agnostic

🎯 Key Differentiators

  • Strong focus on automation and orchestration of ML pipelines
  • Cloud-agnostic approach, avoiding vendor lock-in
  • Reproducibility by design, with automatic version control of everything

Unique Value: Valohai automates the entire machine learning pipeline, enabling teams to build and deploy models faster, with greater reproducibility and scalability.

🎯 Use Cases (4)

Automating and scaling machine learning pipelines Tracking and reproducing ML experiments Managing and deploying models to production Collaborating on ML projects in a team

✅ Best For

  • Used by enterprises to build and manage complex, large-scale machine learning systems.

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Small, individual projects that do not require extensive automation and orchestration.

🏆 Alternatives

Kubeflow Domino Data Lab Pachyderm ClearML

Compared to Kubeflow, Valohai offers a more managed and user-friendly experience, with a focus on ease of use and automation.

💻 Platforms

Web API CLI

🔌 Integrations

AWS GCP Azure Kubernetes OpenStack TensorFlow PyTorch Scikit-learn Jupyter

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Phone Support
  • ✓ Dedicated Support (Contact Sales tier)

🔒 Compliance & Security

✓ SOC 2 ✓ GDPR ✓ SSO ✓ SOC 2 Type II

💰 Pricing

Contact for pricing

✓ 14-day free trial

Free tier: NA

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