Chip Industry Week In Review


Disruptions caused by the Iran conflict have taken about one third of the global helium supply off the market, an essential gas for semiconductor manufacturing, reports the World Economic Forum. Other potential impacts for the chip industry include bromine and other chemical shortages, logistical disruptions, and higher energy prices incurred by fabs in Asia. Top Deals IBM and Lam R... » read more

CPO Is Extending The Limits Of What’s Possible In AI Data Centers


Key Takeaways I/O architecture must be co-designed with compute from day one. Partitioning SoCs into heterogeneous chiplets (compute, EIC, PIC, lasers) directly affects power delivery, floor-planning, interconnect topology, and system scalability. Successful CPO designs require architects to think in multi-physics terms, balancing electrical signaling, thermal stability, optical beha... » read more

AI Power on the Edge


Key takeaways Power and thermal become primary design considerations, not just optimizations. Hardware architectures need to be developed from the ground up. Hardware/software/model co-development is essential. Implementing AI on the edge is driven by a different set of metrics than training or even inference in the cloud. It makes power a first-class citizen, if not the mos... » read more

Scale Up, Scale Out Get a New Partner


Key Takeaways: Three AI data center scaling strategies are scale-up, scale-out, and scale-across. Scale-up is within a rack; scale-out is between racks; scale-across is between data centers. Each of the three uses a different interconnect strategy to optimize either latency or jitter. As today’s data center workloads — especially for AI and HPC — outgrow the physical, ... » read more

Customizing Foundation IP For Ultra-Low-Voltage Designs


By Daryl Seitzer, Andrew Appleby, and Mohammad Tanveer Building a new system-on-chip (SoC) starts with assembling the right foundational elements—pre‑verified IP for logic, memory, I/O, and other essential functions. Standard IP solutions typically address most common design needs, but some projects call for more specialized approaches, especially when innovation is critical or when t... » read more

Enabling Seamless Monitoring, Test, And Repair In Multi-Die Designs


By Yervant Zorian and Sandeep Kumar Goel Anyone who follows the semiconductor industry knows that the accelerating performance, scale and energy efficiency demands of the AI revolution are outpacing the advances achievable by simply pushing the chip performance of monolithic, single-die designs. Multi-die design using 2.5D and 3D technologies has emerged as a necessity to keep the pace of in... » read more

Detecting Chemical Variability At Advanced Nodes


Key Takeaways Yield loss is increasingly driven by molecular variability in thin films, interfaces, and contamination rather than visible defects. Reliability issues often appear first as parametric drift or margin erosion under workload and thermal stress. Detection requires correlating molecular metrology, embedded electrical telemetry, and AI-driven wafer inspection. As s... » read more

Digital Twins: The Cloud’s The Limit


Key Takeaways Digital twins are gaining traction as a way of testing different options at every step of the design-through-manufacturing flow. AI can be used to glue together disparate data types in multi-physics simulations. The promise of digital twins is huge, but multiple challenges need to be solved before it can live up to its potential. Digital twin technology is draw... » read more

Chip Industry Week In Review


Think tank IAPS' report on AI integrity attacks contends that advanced AI systems must be protected from hidden tampering, backdoors, or unauthorized changes that could alter their behavior or outputs, especially when AI adoption is scaling rapidly, with over 60% of the federal workforce now using AI every day. Geopolitics The U.S. government has drafted new export rules that may give W... » 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

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