System-Level Design For 1.6 Tbps Interoperability In AI Data Centers

System-Level Design For 1.6 Tbps Interoperability In AI Data Centers

By Madhumita Sanyal and Diwakar Kumaraswamy The rapid escalation of AI/ML workloads—driven by increasingly large language models—is reshaping high-performance computing and AI data center architectures. Real-time inference and large-scale training are pushing the limits of compute and interconnect performance. With model sizes and parameter counts doubling every 4–6 months, infrastructure must provide extreme computational throughput along with …