tensorpool

What problem does it solve?

This skill helps users migrate their local machine learning scripts to TensorPool GPU clusters using the interactive cluster workflow. Use this when you have a working local script and want to scale it up to professional GPU hardware.

Core Features & Use Cases

• Analyze a local ML script to identify dependencies, data needs, and environment requirements.
• Prepare the script for cloud execution by creating a requirements file, configuring environment variables, and testing a minimal run locally.
• Provision and manage a GPU cluster, transfer code, set up the environment on the cluster, run the script, and retrieve results, with options for streaming logs and monitoring.
• Use case: take a data science notebook or Python script and run it on H100/H200/B200/B300 GPUs with tp ssh for production-scale training or inference.

Quick Start

Prepare your local script for cloud execution by creating a minimal test run on a single GPU.