Uploaded August 2026 | Updated September 2026, 2 weeks ago

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In this demo, we showcase how the ASUS Ascent GX10, powered by the @NVIDIA GB10 Grace Blackwell Superchip, runs large language models locally using llama.cpp, a lightweight C/C++ inference framework optimized for high-performance AI workloads.

By building llama.cpp with CUDA support, tensor operations are accelerated on the GX10 GPU, enabling fast, efficient on-device inference without relying on cloud infrastructure or heavyweight AI frameworks.

The result is a complete local AI inference pipeline, from model loading to GPU-accelerated inference and API serving, all running entirely on the GX10.

Whether you're building AI applications, experimenting with local LLMs, or deploying private AI solutions, the ASUS Ascent GX10 provides a powerful platform for fast, flexible, and secure AI development.

🔗 Learn more: site.tdsynnex.com/nvidia-asus/p/1

#ASUS #NVIDIA #LocalAI #agenticai #CUDA #tensor #LocalLLM

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