Blog Review: Feb. 18


Synopsys' Raja Tabet anticipates deployment of an agentic AI workforce within the next 12 to 24 months that can take on different engineering personas, such as a digital implementation agent, a verification agent, or an analog agent, to run experiments in parallel, generate and triage tests, and propose fixes. Cadence's Reela Samuel dives into power usage effectiveness in data centers and wh... » read more

Can A Computer Science Student Be Taught To Design Hardware?


Key Takeaways New approaches are being devised and tested to address the talent shortage. Leveraging AI in design tools will help engineers become more efficient, and potentially could reduce the time it takes to train engineering students. EDA companies are looking at whether it's possible to train computer science and software engineers to become hardware engineers. A vari... » read more

The Race Begins For Much Bigger Abstractions In Data Centers


Key Takeaways Data center build-out is enabling much larger and more complex abstractions. Competition is building for digital/virtual twins across multiple industry segments, including automotive, aerospace, and chip manufacturing. AI, and particularly AI agents, will play a significant role in sorting through data to find potential trouble spots. The frenzy of new data cen... » read more

Chip Industry Week In Review


Geopolitics U.S. lawmakers are urging tighter export controls on advanced semiconductor manufacturing equipment (SME) to China, warning existing loopholes threaten national security. "China is working to build domestic SME by exploiting access to U.S. and allied subcomponents required to produce tools," states the letter, which also says better coordination with allies is essential. The U.S.... » read more

Chiplets And 3D-ICs Add New Electrical And Mechanical Challenges


Key Takeaways • Chiplets and 3D-IC architectures add new thermal-mechanical stresses that can affect the reliability of entire systems. • As chiplets are assembled into packages, defectivity targets become more stringent for each component in a system. • Traditional silos are breaking down, forcing design teams to address issues such as materials choices that previously were handled by... » read more

UCIe’s Major Technical Components Are Now In Place


Key Takeaways UCIe 3.0 doubles bandwidth and enhances manageability, addressing new use cases and following an annual update cycle since 2023. The growing demand for chiplet-based architectures in AI data centers is driven by the limitations of monolithic chips, making inter-chiplet communication and connectivity crucial. While UCIe was initially seen as feature-heavy, many of its ma... » read more

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

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