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Enthusiast turns a Lenovo Yoga laptop, an M.2 slot, and AMD Radeon RX 7900 XT into 'the world's stupidest' desktop for local AI chatbots — M.2 franken-rig crippled by laptop DRAM swap

Enthusiast turns a Lenovo Yoga laptop and an AMD Radeon RX 7900 XT into "the world's stupidest" desktop for local LLMs

Enthusiast turns a Lenovo Yoga laptop, an M.2 slot, and AMD Radeon RX 7900 XT into 'the world's stupidest' desktop for local AI chatbots — M.2 franken-rig crippled by laptop DRAM swap

A curious Redditor named Alternative-Panic69 decided to transform a Lenovo Yoga laptop into an unconventional desktop for local AI chatbots. They sourced a Radeon 7900 XT graphics card with 20 GB of VRAM, which is typically used for high-end gaming, and intended to install it in a Lenovo M910Q desktop. However, the Lenovo M910Q proved incompatible with the card, leading to an alternative choice: a Lenovo Yoga laptop.

The Redditor opted to perform surgery on the laptop, connecting it using an ADT-Link PCIe external cable connector and a DeepCool PL750D power supply. They successfully integrated the M.2 slot, USB SSD, and integrated graphics, resulting in impressive performance with Furmark achieving 500 FPS at 1080p. Despite the visual appeal, the Redditor recognized the significant limitations of relying solely on the GPU for large language models (LLMs) with a 128K-token context window.

The project soon hit a roadblock when the laptop's memory proved insufficient to handle the models, leading to heavy reliance on swap space and a dramatic drop in performance. Recognizing that their laptop needed to function as a mobile device once again, the Redditor opted to purchase a more affordable AM4 machine to accommodate the Radeon 7900 XT and power supply.

The Redditor admitted that their project was intriguing but ultimately impractical, concluding that buying an old office tower would have been a more sensible solution.

Written by urgent.news from Tom's Hardware's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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