A study by researchers at Harvard Business School, MIT, and the University of Washington found that AI recommender tools influenced 228 evaluators to reject decisions made by independent human experts…
Cisco is championing an 'Ethernet-first' strategy for AI infrastructure, arguing that Ethernet is becoming the predominant networking technology for AI supercomputing due to its open standards, scalab…
Data center switch spending for AI back-end networks is projected to reach $1 trillion by 2030, with scale-up interconnectivity accounting for more than half the total market, according to a report fr…
Advanced Micro Devices Inc. used its Advancing AI 2026 event to argue that its Helios rack-scale platform requires radical openness in networking, as monthly token consumption has surged 158 times in …
Enterprise leaders are realizing that AI efficiency depends not only on model optimization but also on co-design of hardware, compilers, runtime, and cloud architecture. Inefficient AI can cost billio…
InfiniBand, a high-performance interconnect technology designed for Remote Direct Memory Access (RDMA), has become critical for AI training and inference workloads that require direct data movement be…
Ethernet, the most widely deployed wired networking standard, was named after the discredited 19th-century concept of luminiferous ether. Robert Metcalfe deliberately chose the name in 1973 to emphasi…
Canonical published an explainer on RDMA over Converged Ethernet (RoCE), a technology that runs the RDMA programming model over standard Ethernet networks to bypass the kernel and reduce CPU involveme…
The article explains that differential impedance, required by high-speed interfaces like USB (90 ohms) and HDMI (100 ohms), is determined by the geometry of two coupled traces rather than a single tra…
A modem connects a home to the internet by translating signals from an Internet Service Provider (ISP), while a router distributes that connection to multiple devices via Wi-Fi or Ethernet, creating a…
In the late 1940s, engineers at the University of Manchester, including Frederic C. Williams, Tom Kilburn, and G. E. Thomas, developed Manchester code to solve the problem of unreliable data reading c…