The future of running large language models (LLMs) locally in 2026 hinges not on superior hardware like GPUs or larger models, but on making five key decisions correctly. The most critical of these decisions is often misunderstood or approached incorrectly by many. AI
IMPACT Focuses on strategic decision-making for efficient local LLM deployment, rather than new capabilities.
RANK_REASON The item discusses future trends and strategic decisions for running LLMs locally, rather than announcing a new release or product.
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