Kaggle-tpu-lab

Judgement

What it is

Template or starter

What it does

Kaggle notebooks that run large open models on Kaggle's free TPU v5e-8 and expose a public OpenAI- and Anthropic-compatible endpoint for coding agents.

Adopt it when

You want to experiment with big open models in a coding agent without paying for GPUs.

Watch out

Depends on Kaggle's free quota and session limits, and running a public endpoint from a Kaggle notebook may breach its terms.

Ready for

Experimental

Runs as

Cloud service

Built with

Python and JAX

How established

New: started 2 months ago, no tagged release yet.

What the license allows

You can build it into a product you sell, as long as you keep its copyright notice.

Judged on 2026-11-03 from the project's README and GitHub data. The license and age lines are worked out directly.

Built from

Follow it down: Kaggle-tpu-lab → CPython → GCC → LLVM project → runs on a microchip

How compilers were built, back to punched paper tape

Open-source alternatives to Kaggle-tpu-lab

1. 1
   Ollama ollama

   Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

   Developer tool Production-ready You want to run local LLMs for development, privacy or offline use with minimal setup.

   ★ 186k MIT Go Active, pushed today
2. 2
   Llama.cpp ggml-org

   LLM inference in C/C++

   Building block Production-ready You need efficient local or edge LLM inference and want the engine many other tools are built on.

   ★ 133k MIT C++ Active, pushed today
3. 3
   vLLM vllm-project

   A high-throughput and memory-efficient inference and serving engine for LLMs

   Building block Production-ready You serve open-weight models to many users on your own GPUs and need throughput.

   ★ 96k Apache-2.0 Python Active, pushed today
4. 4
   AnythingLLM Mintplex-Labs

   Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

   Complete system Usable You want private document chat for a small team without building a RAG stack yourself.

   ★ 68k MIT JavaScript Active, pushed today
5. 5
   LocalAI mudler

   LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

   Complete system Usable You want a drop-in local replacement for OpenAI's API covering more than just text.

   ★ 50k MIT Go Active, pushed today
6. 6
   OpenLLM bentoml

   Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

   Developer tool Usable You want a quick way to stand up an open model behind an OpenAI-style API.

   ★ 13k Apache-2.0 Python Active, pushed today
7. 7
   BentoML bentoml

   The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

   Framework or platform Production-ready An ML team needs to serve custom models as production APIs without writing serving infrastructure.

   ★ 8.9k Apache-2.0 Python Active, pushed today
8. 8
   RikkaHub rikkahub

   RikkaHub is an Android APP that supports for multiple LLM providers.

   Complete system Usable You want one Android app for chatting with several AI providers using your own API keys.

   ★ 8.6k AGPL-3.0 Kotlin Active, pushed today

Commercial tools for running AI models locally

1. 1
   LM Studio Element Labs

   Bionic is LM Studio's agent for work and code. Create documents, slides, PDFs, and software with local or frontier open models.

   Complete system Usable You want to run open models privately on your own machine without command-line setup.

   Commercial