Power Leadership At 2nm: Foundation IP Optimized For Next-Gen Hyperscale SoCs


By Andrew Appleby and Daryl Seitzer As demand for data center compute accelerates, power efficiency has become the defining metric for modern CPUs, GPUs, and AI accelerators. Every watt saved directly impacts the massive operating costs of gigawatt-scale AI data centers, where power and cooling account for 40–60% of operational expenditures. To reduce energy consumption and strengthen t... » read more

Minimum Energy Per Query


Key Takeaways Extracting heat from a chip faster is a short-term fix to a bigger problem. The longer-term challenge is how to reduce the amount of energy used per query. Data movement, guardbanding, and software inefficiency are key targets for the future. Heat is a serious problem within AI chips, and it is limiting how much processing can be done. The solution is either to... » read more

Simulate Faster with SimAI Software for High Returns at a Low Cost of Ownership


While the value of engineering simulation has been proven for decades, only a small percentage of engineers report using artificial intelligence (AI) to amplify their simulation results at scale. However, AI has the potential to make large-scale simulations even faster, more precise, and more cost-effective. AI-enabled simulation not only amplifies the performance and returns of simulatio... » read more

Resistance In Advanced Packages Is Now A System-Level Problem


Key Takeaways Kelvin measurement, which has been in use for decades, is no longer sufficient for addressing resistance in complex chips. The problem is that resistance is no longer concentrated in transistors, and where it does show up isn't always consistent or obvious. Traditional pass/fail approaches need to be replaced by more granular and flexible analytics and methodologies. ... » read more

Silicon Photonics In The Data Center: What A CMOS Exec Needs To Know


Silicon Photonics is changing the data center, with the biggest changes still ahead. Figure 1: Google Jupiter Network for multi-thousand Ironwood TPU clusters. Source: Google Refresher for new readers: Data centers contain hundreds or thousands of racks. For example, the Nvidia GB200 NVL72 AI compute/switch rack is about 24 inches wide, about 88 inches high and 42 inches deep. I... » read more

Chip Industry Week in Review


Intel hired ex-Qualcomm GPU guru Eric Demers for the company's high-performance GPU push, setting the stage for a three-way battle with Nvidia and AMD. The key targets for Intel and AMD will be better power efficiency and a programming model that rivals CUDA, but don't expect Nvidia to stand still. Acquisitions Texas Instruments plans to acquire Silicon Labs for ~$7.5B cash to enhance i... » read more

Securing Hardware For The Quantum Era


Key Takeaways: Quantum threats to security are already real. Adversaries are already harvesting data that will be decrypted later by quantum computers. Quantum computers capable of breaking RSA and ECC may arrive as early as next year. Asymmetric encryption algorithms like RSA and ECC will become inadequate against quantum threats, while symmetric encryption (such as AES) is less vul... » read more

Consumer And Med Tech Mushroom As Quantum Closes In


Key Takeaways: Universities and companies are making devices inspired by biology and the human senses to help with health monitoring, semiconductor materials development, human-computer interfaces, and more. When this nascent technology becomes a viable product, government regulations will be needed to ensure consumer safety in tracking or treating their body and the environment. Qua... » read more

Securing UALink: Introducing A UALinkSec Security Module


By Dana Neustadter and Vincent van der Leest Over the next decade, artificial intelligence will dominate computing, driving profound changes in both hardware and software architectures. This transformation will reshape data center design and interconnect technologies, creating new opportunities for innovation. As AI workloads scale, the need for high-speed, low-latency communication between ... » read more

Navigating Software-Defined Vehicle Development


The automotive industry is experiencing a profound transformation as vehicles shift from primarily mechanical systems to high-performance, software-driven platforms. The emergence of Software-Defined Vehicles (SDVs) is reshaping the value chain, requiring OEMs and their partners to rethink design, development, and validation strategies. This content outlines how convergence of silicon and sy... » read more

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