Analysis and news on AI, datacenters and network infrastructure.
The most effective way to power AI training and inference at scale is to treat the electrical system as a dynamic, high‑density resource that is profiled, modularized, and continuously balanced in real time. By characterizing AI power draw, deploying scalable distribution architectures, using high‑e
Read moreSelecting the optimal industrial Ethernet switch starts with matching the switch’s performance, reliability, and security to the specific needs of your automation system. Focus on required bandwidth, redundancy architecture, environmental harshness, and future expansion plans. Verify that the device
Read moreModern warehouses demand wireless networks that stay up 99.99 % of the time, cover every aisle from floor to mezzanine, and scale effortlessly as SKU volumes and automation rise. The optimal design blends the right radio technology, a meticulous site survey, redundant topology, and hardened security
Read moreWhen a part reaches end‑of‑life (EOL), the quickest way to keep a design alive is to identify the component’s classification, evaluate risk, and secure a reliable source at the lowest total cost of ownership. By mapping the component’s lifecycle stage, using authorized or vetted surplus channels, ne
Read moreProfinet and EtherCAT are the two leading Industrial Ethernet protocols for Industry 4.0. Profinet, standardized in IEC 61784‑2, offers three classes (RT, IRT…
Read moreChoosing the right industrial Ethernet switch starts with matching the switch’s capabilities to your plant’s traffic load, latency tolerance, redundancy needs, and environmental constraints. By evaluating port speed, PoE budget, stacking options, ruggedness, security functions, and long‑term support
Read moreExplosive AI workloads have multiplied rack power draw; what that means for datacenter design.
Read moreThe functional divide between Cisco's two flagship switch families on campus and in the datacenter.
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