AI Workloads Are Turning The Data Center Network Into A Combined Memory And Storage Fabric


Recent industry trends, including the release of NVIDIA’s Rubin platform (developer.nvidia.com), point to a growing consensus that AI inference is reshaping data center architecture in a fundamental way. As inference workloads become dominant, the data center network is no longer just a communication layer between servers. It is increasingly part of a distributed memory and storage hierarchy,... » read more

Ultra Ethernet Security (UET‑TSS) Tailored For AI And HPC


As AI and high‑performance computing (HPC) systems scale from racks to entire data centers, the network has become both a performance enabler and a growing attack surface. Modern AI fabrics interconnect thousands of GPUs and CPUs, move massive volumes of sensitive model data, and increasingly rely on direct memory access rather than host‑mediated communication. These trends exposed a fundam... » read more

25G Ethernet: Scaling Data Movement For ADAS, Industry 4.0, And 5G Systems


The automotive and industrial markets are undergoing rapid transformation, driven by Advanced Driver Assistance Systems (ADAS) adoption, Industry 4.0 automation, and the rollout of 5G infrastructure. These trends are driving an unprecedented demand for edge AI capabilities and connectivity, with the global Edge AI IC market projected to grow at a 34.7% CAGR and reach $340B by 2034 [1]. Traditio... » read more

AI, GPU, And HPC Data Centers: The Infrastructure Behind Modern AI


Artificial intelligence (AI) is stretching compute infrastructure well beyond what traditional enterprise data centers were designed to handle. Modern AI training requires massively parallel compute, low-latency networking, high-throughput storage pipelines, and facility engineering that can safely support higher rack power densities than legacy environments. These demands are fueling the eme... » read more

Data Centers Need High Reliability Semiconductors


“In the world of designing cars, planes, AI factories … you’ve got to be perfect," said Nvidia CEO Jensen Huang on CNBC last month. "And the reason for this is because there is so much at stake.” Cars and planes need to be extremely reliable because people die if they aren’t. In AI data centers, no one dies when systems fail, but the economic impact is gigantic because Amazon, Goog... » read more

PAwR Simplified: Zephyr And Bluetooth LE 5.4 In Action


If you have ever wanted to see ideas turn into synchronized signals and signals evolve into perfectly timed communication, Bluetooth LE 5.4’s PAwR (Periodic Advertising with Responses) delivers just that. By organizing communication into periodic events, subevents, and response slots, PAwR enables low-power devices to operate in precise rhythm, much like dancers coordinated by a choreograph... » read more

Multiple AI Scale-Up Options Emerge


Artificial intelligence (AI) workloads are very different from those traditionally run inside of data centers, and while the current infrastructure can accommodate those needs, there is a constant demand for higher performance and better power efficiency. It can take months to train a large language model, even with a huge number of processing elements. Typically this involves commandeering ... » read more

Enhancing PCIe 6.0 Performance: Flit Sequence Numbers And Selective NAK Explained


The Flit Sequence Number is a mechanism introduced in the PCIe 6.0 specification, accompanying the transition to Flit Mode operation. This enhancement supersedes the legacy transaction layer packet (TLP) sequence numbering, along with its associated acknowledgment and replay protocols. What is a Flit Sequence Number? Historically, each TLP carried an explicit sequence number, which, while con... » read more

Achieving Reliable 2m+ DAC Connectivity For AI Scale Networks With 224G PHY IP


As artificial intelligence workloads and hyperscale data centers continue to evolve, the requirements for networking infrastructure are becoming increasingly stringent. High-speed, reliable connectivity is essential to support the massive data flow and low-latency demands of AI-scale environments. Passive direct attach copper (DACs) remains an attractive choice for hyperscalers and system vendo... » read more

Key Challenges In Scaling AI Clusters


AI is evolving at an unprecedented pace, driving an urgent need for more powerful and efficient data centers. In response, nations and companies are ramping up investments into AI infrastructure. According to Forbes, AI spending from the Big Tech sector will exceed $250 billion in 2025, with the bulk going towards infrastructure. By 2029, global investments in AI infrastructure, including dat... » read more

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