Thanh Tuan Dao

With the growing interest in LLMs and multimodal AI, many companies and people are struggling to construct and utilize large-scale AI infrastructure with thousands or more accelerators. The most difficult challenges in AI technology are now a variety of infrastructure-level problems such as parallelization, cluster scalability, performance portability, orchestration of heterogeneous accelerators, and failover. Founded in 2020, we are committed to accelerating the advancement of AI technology by solving these problems with innovative software technologies. Our mission is to develop a full AI software stack optimizing the entire life cycle of a hyperscale AI from development, training, compression, to serving. Through this, we aim to make future AI technology more accessible to a wide range of customers.