Meta's Llama 4 Scout, a 109 billion parameter mixture-of-experts model, requires approximately 25GB of VRAM for usable performance at Q4_K_M quantization. The RTX 5090 with 32GB of VRAM is presented as the sole single consumer GPU capable of running the model locally. For a more cost-effective local solution, a dual RTX 3090 setup offers comparable performance and more VRAM for a similar price, though it involves greater complexity. Cloud GPU instances are recommended for users who only need to run the model occasionally. AI
IMPACT Provides crucial hardware guidance for running advanced LLMs locally, impacting AI operators and researchers.
RANK_REASON Article details hardware requirements and performance benchmarks for a specific LLM, akin to a technical deep-dive or research paper analysis. [lever_c_demoted from research: ic=1 ai=1.0]
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