Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Link your home devices to create a faster network for running AI models.
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distributed-llama has 3k stars on GitHub. It has been forked 248 times. distributed-llama is written mainly in C++. It has been in active development since 2023. distributed-llama is available under the MIT license. Its main topics are distributed-computing, distributed-llm, llama2, llama3.
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
distributed-llama is an open-source project. It is released under the MIT license.
Yes. distributed-llama is free and open source — you can use, modify and self-host it.
distributed-llama is available under the MIT license.
distributed-llama is written mainly in C++.
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