Scaling AI Infrastructure: Overcoming Interconnect Bottlenecks Via CPO And Heterogeneous Integration


The rapid evolution of Artificial Intelligence (AI) has surpassed the capabilities of traditional monolithic compute architectures. The industry is shifting toward a systemic approach, where large-scale distributed clusters of GPUs/AI accelerators function as a single, unified computational engine to support the next generation of trillion-parameter models. Co-packaged optics (CPO) offers s... » read more

10-Year Roadmap for AI + Hardware (UIUC, UCLA, Stanford et al.)


Researchers from University of Illinois Urbana-Champaign, UCLA, Stanford University, Nvidia, Google, et al. have released “AI+HW 2035: Shaping the Next Decade”. Abstract “Artificial intelligence (AI) and hardware (HW) are advancing at unprecedented rates, yet their trajectories have become inseparably intertwined. The global research community lacks a cohesive, long-term vision t... » 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

Scaling AI Infrastructure: The Critical Role Of PCIe 7.0 Retimers


In a previous blog, Scaling in the AI Era: The Role of PCI Express 7.0 Switches in Next-Gen Data Centers, we explored how PCIe 7.0 switches enable high-bandwidth, low-latency interconnects for AI-driven data centers. Switches are essential for building flexible, composable architectures that connect thousands of GPUs, accelerators, and memory subsystems. But as AI clusters grow in size and comp... » read more

Beyond the Bottleneck: AI Cluster Networking Report 2025


Artificial intelligence (AI) is the engine of next-generation innovation. However, increasing complexity means increased demand on data center networks. As AI grows into a central component of enterprise strategies, organizations must carefully consider how they design, test, and scale their infrastructure. This report, based on a global survey conducted by Heavy Reading in collaboration with K... » read more

Designing The AI Factories: Unlocking Innovation With Intelligent IP


The rapid evolution of artificial intelligence (AI) is reshaping the technological landscape, driving unprecedented demands on computing infrastructure. At the heart of this transformation lie innovations in intellectual property (IP) that enable scalable, efficient, and performance-driven AI factories. These advancements are central to addressing the technical challenges of modern AI workloads... » read more

Are You Ready For AI?


The semiconductor industry sits at the heart of the artificial intelligence revolution, providing the essential computational foundation that powers AI's rapid evolution. However, new research suggests that while AI adoption is accelerating globally, strategic implementation remains a significant challenge across industries. According to the recently released Arm AI Readiness Index Report, 8... » read more

Mass Customization For AI Inference


Rising complexity in AI models and an explosion in the number and variety of networks is leaving chipmakers torn between fixed-function acceleration and more programmable accelerators, and creating some novel approaches that include some of both. By all accounts, a general-purpose approach to AI processing is not meeting the grade. General-purpose processors are exactly that. They're not des... » read more