aiqbench analysis

The article focuses on disaggregated inference, a hardware architecture approach that separates compute, memory, and networking to optimize large-scale AI model deployment in enterprise environments. This technical deep dive addresses critical infrastructure challenges for training and running massive models, making it directly relevant to the development and scaling of machine learning systems.