MatX aims to address the increasing demand for chips tailored to AI workloads, focusing on delivering high performance with cost-effectiveness to support large language models.
The goal for MatX is ambitious: to create processors that are ten times more effective at training large language models and providing outcomes compared to NVIDIA's GPUs.
Co-founders Mike Gunter and Reiner Pope leverage their extensive backgrounds in AI hardware design, aspiring to mitigate the chip shortage impacting the AI industry.
After securing an $80 million Series A funding, MatX has rapidly gained traction, growing from a $25 million seed round within less than a year.
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