This report analyzes how the convergence of Moore's law slowdown and large‑model scaling laws creates a feedback loop between compute power and intelligence, driving the emergence of AI‑specific chips, high‑speed networking, and DPU architectures that together reshape modern AI infrastructure.
This article provides a detailed overview of Ethernet’s origins, its rapid speed evolution, the expanding role of Ethernet in data centers, automotive, industrial and cloud networks, and examines the current switch market, chip technologies, and future high‑speed developments driven by AI and AIGC.
The rapid growth of AI, HPC, and cloud workloads is driving exponential demand for 400G, 800G, and even 1.6T optical modules, prompting a shift in packaging technologies, modulation schemes, and parallel‑lane architectures to meet higher bandwidth and lower‑cost requirements in modern data centers.
The article provides a detailed technical analysis of the emerging 1.6 Tbps Ethernet standard, covering its historical evolution, IEEE 802.3dj specifications, subsystem components, forward‑error‑correction mechanisms, physical‑layer choices such as PAM‑4, and latency considerations for high‑performance data‑center and processor‑interconnect applications.
