Run your own code and manage clusters with Laravel's included tools. NoSQL and SQL supported.
npx skills add https://github.com/tensorpool/tensorpool --skill tensorpool
Please help me install this Agent Skill. Skill: tensorpool Source: https://github.com/tensorpool/tensorpool/tree/main/skills/tensorpool Command: npx skills add https://github.com/tensorpool/tensorpool --skill tensorpool
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.
Prepare your local script for cloud execution by creating a minimal test run on a single GPU.
High-intent search queries and answers about installing and using this skill.
To migrate local ML scripts to a GPU cluster, you can use an interactive workflow to analyze dependencies, provision TensorPool hardware like H100 or H200, transfer code via tp ssh, and execute runs remotely.
Running a Python data science notebook on H100 GPUs involves preparing the local script environment, provisioning a scalable TensorPool cluster, transferring the code, and executing it remotely with streaming logs for monitoring.
Yes, you can use an interactive cluster workflow to scale your machine learning script by analyzing it for environmental requirements, testing a minimal local run, provisioning cloud GPUs, and retrieving execution results.
Yes, you need to create a requirements file and configure environment variables to prepare your ML script for cloud execution on GPU clusters before provisioning hardware and transferring your code.
Code transfer and execution on TensorPool hardware works by provisioning a GPU cluster, moving your local script to the cluster using tp ssh, setting up the environment, and running the script with options for streaming logs and result retrieval.
Preparing a local script for cloud execution on B200 or B300 GPUs requires analyzing dependencies, configuring environment variables, testing a minimal local run, and provisioning the target hardware through the interactive cluster workflow.
sast-playgroundReproduce and resolve flaky tests by configuring environments, running tests, and analyzing results.
kubonyResize Google Cloud Platform VM instances by changing machine type via gcloud commands.
gagan114662Provision on-demand and reserved GPU cloud instances for ML training.
primatrixExecute Python scripts on remote GPU or TPU clusters via SkyPilot.
