{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "arahim3-kaggle-tpu-lab--serve-model-from-terminal",
 "repo": "ARahim3/kaggle-tpu-lab",
 "repo_url": "https://github.com/ARahim3/kaggle-tpu-lab",
 "repo_slug": "arahim3-kaggle-tpu-lab",
 "title": "Launch a model server from the terminal",
 "page_title": "How to launch a model server from the terminal with Kaggle Tpu Lab",
 "summary": "Clone the repo and start the Qwen3.8-27B serve recipe from your command line.",
 "who": "A developer comfortable with the command line who wants to start and stop model sessions without opening the Kaggle web UI.",
 "problem": "Opening notebooks by hand for each session is slow and hard to repeat.",
 "outcome": "A Kaggle TPU session starts from one command, and you can check or stop it from the terminal.",
 "steps": [
  "Install Python 3.9+ and the Kaggle CLI, and make sure your Kaggle account has an API token configured. (inferred, check the README)",
  "`git clone https://github.com/ARahim3/kaggle-tpu-lab`",
  "`cd kaggle-tpu-lab`",
  "`python launch.py serve`",
  "Run `python launch.py status` to follow progress, and `python launch.py stop` when you are done. (inferred, check the README)"
 ],
 "agent_prompt": "Clone ARahim3/kaggle-tpu-lab, run `python launch.py serve` to start the default model, and use `python launch.py status` until the server reports ready. Expected output: a running Kaggle TPU session with a public URL. Verify the status output shows the session active before handing the URL to <target>.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "The README says launch.py serves Qwen3.8-27B today, and other models need a recipe added later through --model.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "A Kaggle account with TPU access, verified under Settings (phone number, and for some accounts a Persona identity check)",
  "Kaggle's free TPU quota, around 20 TPU hours a week",
  "For the terminal route: Python 3.9+ and the Kaggle CLI"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/arahim3-kaggle-tpu-lab/serve-model-from-terminal/",
 "md": "https://dedupedai.com/use-cases/arahim3-kaggle-tpu-lab/serve-model-from-terminal/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/arahim3-kaggle-tpu-lab--serve-model-from-terminal.json",
 "api_version": "v1"
}