Rethinking AI Infrastructure: The Rise Of PCIe Switches


When thinking of AI, images of futuristic robots or self-driving cars may come to mind. What might not come to mind are the unsung hardware component heroes that are quietly enabling such complex systems. Among these, PCI Express (PCIe) switches might seem to be a boring topic to write about, much less read. But here's the twist—they are nothing short of revolutionary when it comes to empower... » read more

How Neural Super Sampling Works: Architecture, Training, And Inference


This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we announced Arm neural technology that will ship in Arm GPUs in 2026. The first use case of the technology is Neural Super Sampling (NSS). NSS is a next-generation, AI-powered upscaling solution. ... » read more

Modern Factories Thrive By Manufacturing Smarter With Simulation


By Jennifer Procario and Peter Slättman Automation induces anxiety in those who fear that technology will replace humans in the workforce. But as we transition from Industry 4.0 to 5.0, some apprehension could be alleviated with a shift in focus. The fourth industrial revolution centered on technology, but the fifth emphasizes human interaction and collaboration with technology. The Europ... » read more

System-Level Design For 1.6 Tbps Interoperability In AI Data Centers


By Madhumita Sanyal and Diwakar Kumaraswamy The rapid escalation of AI/ML workloads—driven by increasingly large language models—is reshaping high-performance computing and AI data center architectures. Real-time inference and large-scale training are pushing the limits of compute and interconnect performance. With model sizes and parameter counts doubling every 4–6 months, infrastruct... » read more

Moving Past “It Works” — Intelligent Optimization Is the Key to PCB Excellence


In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever-shrinking development cycles. Traditional methods—relying on intuition, trial-and-error testing, and even basic simulation—struggle to keep pace with the growing complexity of modern systems. Nowhere is this more evident than in printe... » read more

Maximize Uptime And Improve TCO: RAS And Telemetry In HBM4 For Data Centers


As AI workloads scale and data center operations become increasingly complex, it is critical to keep the infrastructure up and running. Total Cost of Ownership (TCO) is a key metric that includes not only the upfront cost of hardware but also the ongoing expenses of power, cooling, maintenance, and—most importantly—downtime. A single memory failure in a hyperscale AI cluster can cascade int... » read more

UEC-CBFC: Credit-Based Flow Control For Next-Gen Ethernet In AI And HPC


For ages, Ethernet has been the backbone of networking — starting from simple web browsing to cloud computing, data centers, automobiles, and more. Ethernet has enabled countless innovations, and now, it's expanding to meet the demands of AI and HPC. As the world shifts toward these new technologies, new challenges are emerging. These include increased scale, higher bandwidth density, mult... » read more

Digital Engineering Transforms Chips For The Future


The semiconductor industry stands at a critical turning point. With global semiconductor sales exceeding $600 billion last year, the need for the industry to scale has never been more apparent. As AI applications drive unprecedented requirements for processing capabilities, chip designers are turning to advanced simulation technologies to enable the digital engineering workflows that will sup... » read more

Start Experimenting With Neural Super Sampling For Mobile Graphics


Mobile game developers around the world face increasing pressure to meet user expectations for sharper visuals, smoother gameplay, and longer battery life. Balancing these goals on constrained mobile devices often means making trade-offs. Traditional upscaling methods offer limited flexibility. Real-time AI rendering remains complex, power-hungry, or hardware dependent. Neural Super Sampling... » read more

Transformers At The Edge: Efficient LLM Deployment


Since the groundbreaking 2017 publication of “Attention Is All You Need,” the transformer architecture has fundamentally reshaped artificial intelligence research and development. This innovation laid the foundation for Large Language Models (LLMs) and Video Language Models (VLMs), fueling a wave of productization across the industry. A defining milestone was the public launch of ChatGPT in... » read more

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