cnx-software.comSelect the right hardware for your local LLM deployment with this online guide
Select the right hardware for your local LLM deployment with this online guide
When it comes to deploying local LLMs, many people may think that spending more money will deliver more performance, but it's far from reality. That's why Sipeed created the "AI Agent Local LLM Inference Device Deployment Guide" hosted on the llmdev.guide website. The website lists common hardware with price, performance (tokens/s), power consumption, and more for various LLMs. If we take Qwen3.5 9B as an example, we can see that $4K+ hardware like NVIDIA DGX Spark or Apple Mac Studio M3 delivers about the same TPS as a machine equipped with a $260 Intel Arc B580 12GB GPU. If money is no object and you'd like the best performance, the NVIDIA GTX 5090 32GB makes the most sense. I reckon the price comparison is imperfect because some data points reflect the price of a complete system, while others only list the price of a graphics card. However, for Qwen 122B-A10B,
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