FastFlowLM
Run LLMs on AMD Ryzen™ AI NPUs in minutes. Just like Ollama - but purpose-built and deeply optimized for the AMD NPUs.
Run large language models on AMD processors quickly and efficiently, without needing a graphics card.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeRun LLMs on AMD Ryzen™ AI NPUs in minutes. Just like Ollama - but purpose-built and deeply optimized for the AMD NPUs.
FastFlowLM has 1.7k stars on GitHub. It has been forked 132 times. FastFlowLM is written mainly in C++. It has been in active development since 2025. FastFlowLM is available under the MIT license. Its main topics are amd, deepseek, llama, llm.
What is FastFlowLM?
Run LLMs on AMD Ryzen™ AI NPUs in minutes. Just like Ollama - but purpose-built and deeply optimized for the AMD NPUs.
Is FastFlowLM open source?
FastFlowLM is an open-source project. It is released under the MIT license.
Is FastFlowLM free?
Yes. FastFlowLM is free and open source — you can use, modify and self-host it.
What license does FastFlowLM use?
FastFlowLM is available under the MIT license.
What language is FastFlowLM written in?
FastFlowLM is written mainly in C++.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/fastflowlm-fastflowlm.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.