Create Machine Learning pipelines with ZenML
Export Hugging Face models to ONNX
Load AI models and prepare your space
Optimize and train foundation models using IBM's FMS
Generate leaderboard comparing DNA models
Launch web-based model application
Calculate memory needed to train AI models
View and submit language model evaluations
Convert and upload model files for Stable Diffusion
Explore and visualize diverse models
Evaluate model predictions with TruLens
SolidityBench Leaderboard
Retrain models for new data at edge devices
Zenml Server is a powerful tool designed for creating and managing Machine Learning pipelines. It serves as a central hub for teams to collaborate on ML workflows, ensuring reproducibility and scalability. By leveraging Zenml Server, data scientists and engineers can streamline their workflows, track experiments, and deploy models efficiently.
• Pipeline Orchestration: Define and manage complex ML workflows with ease.
• Experiment Tracking: Keep track of all your experiments in a centralized location.
• Environment Management: Ensure consistency across development and production environments.
• Integration: Seamlessly integrate with popular ML tools and frameworks like Kubeflow, Airflow, and more.
• Collaboration: Enable teams to work together on shared pipelines and experiments.
• Legacy System Support: Work with existing infrastructure and tools.
What makes Zenml Server unique?
Zenml Server provides a unified interface for managing ML workflows, enabling teams to work collaboratively while ensuring reproducibility.
Can Zenml Server integrate with existing tools?
Yes, Zenml Server is designed to work with popular ML tools and frameworks, making it easy to incorporate into your existing workflow.
Is Zenml Server suitable for large teams?
Absolutely! Zenml Server supports scalability and collaboration features, making it ideal for teams of all sizes.