{"slug": "the-math-behind-prismml-s-27b-parameter-model-in-4gb-of-ram", "title": "The math behind PrismML's 27B-parameter model in 4GB of RAM", "summary": "PrismML has developed a technique to run a 27-billion-parameter AI model in just 4GB of RAM, potentially enabling powerful on-device AI on iPhones and giving Apple a competitive edge in mobile AI.", "body_md": "Article URL: https://thebluenarwhal.com/27-billion-parameters-on-an-iphone-why-on-device-ai-may-be-apples-next-big-advantage/\n\nComments URL: https://news.ycombinator.com/item?id=48915625\n\nPoints: 1\n\n# Comments: 0", "url": "https://wpnews.pro/news/the-math-behind-prismml-s-27b-parameter-model-in-4gb-of-ram", "canonical_source": "https://thebluenarwhal.com/27-billion-parameters-on-an-iphone-why-on-device-ai-may-be-apples-next-big-advantage/", "published_at": "2026-07-15 02:43:39+00:00", "updated_at": "2026-07-15 02:47:41.700164+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "ai-infrastructure", "ai-products"], "entities": ["PrismML", "Apple"], "alternates": {"html": "https://wpnews.pro/news/the-math-behind-prismml-s-27b-parameter-model-in-4gb-of-ram", "markdown": "https://wpnews.pro/news/the-math-behind-prismml-s-27b-parameter-model-in-4gb-of-ram.md", "text": "https://wpnews.pro/news/the-math-behind-prismml-s-27b-parameter-model-in-4gb-of-ram.txt", "jsonld": "https://wpnews.pro/news/the-math-behind-prismml-s-27b-parameter-model-in-4gb-of-ram.jsonld"}}