analiza aiqbench

AMD and Cerebras have unveiled a new architecture for disaggregating AI inference workloads, allowing compute resources to be separated from memory constraints. This approach aims to improve efficiency by enabling flexible scaling of GPU or wafer-scale engine clusters without being bottlenecked by local memory limits. The collaboration represents a significant shift in hardware strategy for large-scale model deployment.