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Version: v0.19.1

What is H2O Enterprise LLM Studio?

H2O Enterprise LLM Studio is your secure, enterprise-ready platform for fine-tuning, evaluating, and deploying large language models (LLMs) — all behind your firewall or in your private cloud.

Built on the foundation of H2O LLM Studio, our open-source toolkit, this licensed version is tailored for organizations that need robust access control, team collaboration, and seamless integration with enterprise infrastructure. Whether you’re building internal copilots, classification systems, or domain-specific generators, Enterprise LLM Studio brings powerful GenAI workflows into reach.

Why Enterprise LLM Studio?​

  • End-to-end fine-tuning workflows: Go from raw data to production-ready models in a few clicks — no need to stitch together tools.
  • Private and secure: Fine-tune and deploy models in your own infrastructure with full data control and auditability.
  • Multi-user collaboration: Work across projects and teams with role-based access and shared assets like datasets, experiments, and deployments.
  • Best-in-class AutoML: Let the platform handle model selection and hyperparameter optimization using insights from past experiments.
  • Fully extensible: Bring your own models (via Hugging Face) and integrate your own evaluation criteria, APIs, and downstream systems.
  • Multimodal training: Fine-tune models with combined text and image inputs for tasks like visual question answering and image captioning (experimental).
  • Object detection: Train models to identify and locate objects within images using bounding boxes with DETR-based architectures (experimental).

Use cases​

  • Customer service chatbots trained on real transcripts
  • Summarization tools for internal documents
  • Classification systems for tickets, forms, or legal text
  • Custom generation for product descriptions, SQL queries, or domain-specific formats
  • Object detection for identifying and localizing objects in images

What makes it different?​

H2O Enterprise LLM Studio isn’t just an interface on top of a model — it’s a complete development environment for enterprise GenAI. From dataset versioning to model evaluation, automated tuning, and one-click deployment, it’s everything your data science team needs to ship real results, fast.

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