{"slug": "a-new-inference-engine-to-run-kimi-k3-2-78t-parameter-with-29gb-of-ram", "title": "A new inference engine to run Kimi K3 2.78T parameter with 29GB of RAM", "summary": "Marco Bambini introduces the Waste Inference Engine, a new system capable of running Kimi K3, a 2.78 trillion parameter model, using only 29GB of RAM. The engine achieves this through aggressive quantization and memory optimization techniques, making large-scale AI inference accessible on consumer hardware.", "body_md": "Article URL: \nhttps://marcobambini.substack.com/p/the-waste-inference-engine\n\nComments URL: \nhttps://news.ycombinator.com/item?id=49110183\n\nPoints: 3\n\n# Comments: 1", "url": "https://wpnews.pro/news/a-new-inference-engine-to-run-kimi-k3-2-78t-parameter-with-29gb-of-ram", "canonical_source": "https://marcobambini.substack.com/p/the-waste-inference-engine", "published_at": "2026-07-30 14:01:44+00:00", "updated_at": "2026-07-30 14:22:43.618348+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "ai-infrastructure", "ai-tools"], "entities": ["Marco Bambini", "Kimi K3", "Waste Inference Engine"], "alternates": {"html": "https://wpnews.pro/news/a-new-inference-engine-to-run-kimi-k3-2-78t-parameter-with-29gb-of-ram", "markdown": "https://wpnews.pro/news/a-new-inference-engine-to-run-kimi-k3-2-78t-parameter-with-29gb-of-ram.md", "text": "https://wpnews.pro/news/a-new-inference-engine-to-run-kimi-k3-2-78t-parameter-with-29gb-of-ram.txt", "jsonld": "https://wpnews.pro/news/a-new-inference-engine-to-run-kimi-k3-2-78t-parameter-with-29gb-of-ram.jsonld"}}