A new inference engine to run Kimi K3 2.78T parameter with 29GB of RAM

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.

Article URL: https://marcobambini.substack.com/p/the-waste-inference-engine Comments URL: https://news.ycombinator.com/item?id=49110183 Points: 3 Comments: 1