{"slug": "the-simple-law-for-energy-cost-of-llm-inference", "title": "The SIMPLE Law for Energy Cost of LLM Inference", "summary": "A new analytical model, the SIMPLE Law, addresses the non-linear energy cost of LLM inference by accounting for how each token entering the KV-cache raises the cost of subsequent tokens, according to the article. The article states that no prior analytical model specified what a token costs and that the most accurate state-of-the-art model was previously the benchmark. The work matters because generative AI is billed per token even though tokens are not equally expensive.", "body_md": "Generative AI is billed per token, yet tokens are not equally expensive. Each token enters the KV-cache and raises the cost of those that follow, so energy grows non-linearly along a sequence whose tokens look identical. No analytical model states what a token costs, and the most accurate SOTA model", "url": "https://wpnews.pro/news/the-simple-law-for-energy-cost-of-llm-inference", "canonical_source": "https://aiflash.com/news/146271/", "published_at": "2026-11-05 17:00:08+00:00", "updated_at": "2026-11-05 17:23:39.676304+00:00", "lang": "en", "topics": ["large-language-models", "ai-infrastructure", "machine-learning", "artificial-intelligence"], "entities": ["SIMPLE Law", "KV-cache"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/the-simple-law-for-energy-cost-of-llm-inference", "markdown": "https://wpnews.pro/news/the-simple-law-for-energy-cost-of-llm-inference.md", "text": "https://wpnews.pro/news/the-simple-law-for-energy-cost-of-llm-inference.txt", "jsonld": "https://wpnews.pro/news/the-simple-law-for-energy-cost-of-llm-inference.jsonld"}}