MatX, a startup specializing in advanced chip design for large language models, has raised $80 million in Series A funding, bringing its valuation to the low $300 million range. Founded by former Google engineers, MatX aims to create cost-effective, energy-efficient AI inference chips, leveraging silicon photonics to outperform Nvidia's GPUs in training and inference tasks.