About This Site
AI notebook for cloud ML workflow automation Clusy is an agent-native notebook platform for researchers and data teams to plan, build, branch, run, and evaluate machine learning and data science workflows in the cloud. Users describe the outcome they want in natural language, and Clusy helps source datasets, preprocess data, select architectures and compute, run parallel experiments, and return editable notebook results with full code-level control.
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Key Features AI
Core Features
Natural-language workflow planning for ML and data science
Dataset sourcing, inspection, preprocessing, and feature engineering
Parallel experiments in replicated notebook kernels
Branching notebooks to compare model architectures side by side
Cloud CPU and GPU execution with managed sandboxes
Human-in-the-loop notebook editing, inspection, and re-running
Support for fine-tuning and model evaluation
Advantages
Automates end-to-end ML and data science workflows from natural language
Keeps output in a real notebook for full code-level control and transparency
Supports branching and side-by-side experiment comparison
Offers managed cloud CPU and GPU sandboxes for scalable compute
Can use uploaded files, public datasets, or connected warehouse data
缺点:Best suited for ML and data science work, not general-purpose note-taking
缺点:Advanced GPU and frontier model access requires paid plans
缺点:Usage allowances and pay-as-you-go limits may apply on paid tiers
缺点:Cloud-based workflow may not fit users who prefer fully local execution
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