Uno Enhances LLM Throughput by 2.5x via Diffusion Integration

Uno has achieved a 2.5-fold increase in throughput for large language models by integrating diffusion techniques into existing architectures. This innovation is expected to lower computational costs and improve the scalability of AI infrastructure.