A new Seattle startup led by veteran engineers is building technology to tackle one of the biggest drivers of cost and complexity in large language model deployment. Founded just a few months ago, ElastixAI is developing an AI inference platform designed to optimize how large language models are run. The company just raised $16 million of a larger round led by Bellevue-based venture capital firm FUSE, GeekWire has learned. As AI demand skyrockets, inference — how trained large language models “think” and produce answers — is one of the hottest areas of AI infrastructure. ElastixAI is aiming to improve the... Read More