Western Digital unveiled a roadmap featuring a 100TB mechanical HDD and a high‑bandwidth HDD design that promises up to eight‑fold speed gains, targeting AI data‑center workloads while acknowledging that consumer availability will lag behind enterprise adoption.
This article examines Broadcom's Scale Up Ethernet (SUE) framework, detailing how it addresses AI/HPC rack‑scale interconnect challenges by delivering ultra‑high bandwidth, microsecond‑level latency, memory‑semantic operations, and seamless compatibility with existing Ethernet infrastructure for large XPU clusters.
The article examines how the rapid growth of AI models and workloads is reshaping network design, highlighting the need for ultra‑high bandwidth, sub‑millisecond latency, reliability, scalable topologies like Fat‑Tree and Dragonfly, and robust security and QoS mechanisms across data‑center, cloud, and edge environments.
The article presents Cornell’s Microwave Neural Network (MNN), a CMOS‑based integrated circuit that processes ultra‑high‑speed data and wireless signals using analog microwave physics, achieving gigahertz‑band AI computation with less than 200 mW power consumption and demonstrating high accuracy across classification, radar, and modulation tasks.
The article examines the ultra‑large‑scale, high‑bandwidth, low‑latency, and automated network infrastructure needed for training generative AI models, covering custom network designs, congestion control, deterministic RDMA, topology choices such as Fat‑Tree, and emerging deterministic networking technologies.
The article analyzes traditional cloud data‑center networking challenges for AI workloads and compares two‑layer and three‑layer fat‑tree architectures, presenting high‑bandwidth, non‑blocking, and low‑latency designs such as AI‑Pool networks and offering practical deployment scales from hundreds to tens of thousands of GPUs.
The article analyzes the limitations of traditional data‑center networking for AI compute workloads and presents high‑bandwidth, non‑blocking, low‑latency design solutions—including two‑layer and three‑layer fat‑tree architectures, AI‑Pool concepts, and recommended configurations—for building scalable, efficient intelligent computing clusters.
Since the IEEE 802.3ae standard was approved in 2002, 10‑Gigabit Ethernet has expanded dramatically due to falling port prices, new fiber technologies, rising bandwidth demands, and its ability to support high‑performance data center, storage, and clustering applications, making it a key networking solution today.
This article explains the fundamentals of RDMA and RoCE, compares RoCE v1 and v2, outlines deployment steps, highlights performance benefits such as low CPU usage and zero‑copy, and answers common questions about its differences from iWARP and InfiniBand, helping data‑center engineers evaluate the technology.
This article breaks down 5G for everyday users, illustrating how high bandwidth, dense connectivity, wide coverage, ultra‑reliable links, and massive device support translate into practical scenarios like seamless VR gaming, uninterrupted streaming in crowds, autonomous driving, remote robotics, and smart‑home IoT.
