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Overview

  • Instant Access

    Launch a notebook and begin coding immediately in seconds. Fully managed JupyterLab workspace – no infrastructure setup and configuration required.

  • Seamless Access to GPUs

    Run your notebooks on servers equipped with Nvidia and AMD GPUs without worrying about infrastructure management.

  • AI/ML-Ready Environments

    Use the latest JupyterLab seamlessly integrated with persistent storage, options for pre‑installed PyTorch, Tensorflow and CUDA libraries for seamless development.

  • Collaboration

    Secure access to your Jupyter notebooks and share your notebooks with collaborators.

Use Cases

Interactive data analysis, visualization, and documentation by combining executable code, rich text, and outputs in a single environment. Accelerate rapid prototyping, collaboration, and reproducibility of computational workflows.

  •   AI Prototyping

    • Sketch training pipelines and batch inference flows.
    • Validate large‑scale training scenarios.
    • Run light fine‑tuning or RAG experiments.

  •   Data Preparation

    • Clean and preprocess raw datasets.
    • Explore data to validate hypotheses.
    • Visualize and engineer features directly in the notebook.