LLM-8850: Expansion card turns Raspberry Pi 5 into a local AI platform – NotebookCheck.net News
A new expansion card is supposedly able to significantly accelerate various devices, but only for certain AI-based applications. For makers and tinkerers, the M5Stack LLM-8850 could be quite useful for projects involving the Raspberry Pi 5.
Silvio Werner (translated by Enrico Frahn), Published 🇩🇪
Cloud-based AI models are quite convenient for typical users. However, some use cases may require to run these models locally in order to ensure data privacy or to work around a slow or non-existing internet connection. That said, a certain amount of performance is needed to run large language models or even AI-assisted video analysis. The latter might be useful for counting people who pass through the entrance of a building, for example.
With the M5Stack LLM-8850, another expansion card that accelerates these exact AI applications has now hit the market. It’s powered by an Axera AX8550 SoC with four Cortex-A55 cores and an NPU with a performance of 24 TOPs. By comparison, NPUs integrated into modern AMD and Intel CPUs offer roughly twice as much performance. A VPU is onboard as well and can simultaneously decode up to 16 video streams at Full HD resolution. The board further sports 8GB of RAM and comes with a heatsink and a fan.
The card is connected via an M.2 Key M slot and uses two PCIe 2.0 lanes. The board measures 1.68 x 0.94 x 0.38 inches and is compatible with the Raspberry Pi 5 and other single-board computers or even mini PCs as well as various AI frameworks. Last but not least, the M5Stack LLM-8850 is officially priced at $99, but additional shipping and import fees may apply.
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Editor of the original article: Silvio Werner – Senior Tech Writer – 15372 articles published on Notebookcheck since 2017
I have been active as a journalist for over 10 years, most of it in the field of technology. I worked for Tom’s Hardware and ComputerBase, among others, and have been working for Notebookcheck since 2017. My current focus is particularly on mini PCs and single-board computers such as the Raspberry Pi – so in other words, compact systems with a lot of potential. In addition, I have a soft spot for all kinds of wearables, especially smartwatches. My main profession is as a laboratory engineer, which is why neither scientific contexts nor the interpretation of complex measurements are foreign to me.
Translator: Enrico Frahn – Managing Editor Accessory Reviews, Tech Writer – 5442 articles published on Notebookcheck since 2021
My fascination for technology goes back a long way to the Pentium II era. Modding, overclocking and treasuring computer hardware has since become an integral part of my life. As a student, I further developed a keen interest in mobile technologies that can make the stressful college life so much easier. After I fell in love with the creation of digital content while working in a marketing position, I now scour the web to bring you the most exciting topics in the world of tech. Outside the office, I’m particularly passionate about motorsports and mountain biking.
Silvio Werner, 2025-10- 4 (Update: 2025-10- 4)
