The ML Workspace is an all-in-one web-based development environment specialized for machine learning and data science. It packages Jupyter Lab, VS Code Server, and popular ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras) into a single Docker container that can be deployed locally or on Kubernetes. The environment includes GPU support, Anaconda, and R, enabling data scientists to immediately start coding without manual environment setup.