Running large language models locally doesn’t have to be complicated. In this demo, we show how to set up and run full LLM inference on the ASUS Ascent GX10 using llama.cpp built with CUDA. No cloud, no heavy frameworks, just fast on-device inference with a standard API interface.
The result is a lightweight, flexible local inference stack that runs efficiently on the ASUS Ascent GX10 and integrates cleanly with any application expecting a standard OpenAI-compatible API.
🔗 Learn more about the ASUS Ascent GX10: https://www.asus.com/us/networking-iot-servers/desktop-ai-supercomputer/ultra-small-ai-supercomputers/asus-ascent-gx10/
📗 NVIDIA Playbook: https://build.nvidia.com/spark
#ASUSAscentGX10 #LocalAI #Inference
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