Chip Industry Week In Review


War impacts The Iran War's toll on the chip industry is widening. Over 95% of Taiwan's energy is imported, causing the country to secure alternative sources. Korea is also heavily dependent on energy imports from the Middle East. Shortages of key materials are cropping up everywhere. Helium from Qatar, the second largest producer behind the U.S., is constrained by hostilities in the Per... » read more

Exploring The Frontiers Of Lithography And Patterning: Highlights From SPIE Advanced Lithography + Patterning 2026


Leading‑edge system-on-chip (SoC) designs at deep submicron nodes are stretching lithography and patterning capabilities across the entire manufacturing flow. Extreme ultraviolet (EUV) lithography has become central to printing advanced features, using high‑power pulsed lasers to generate a plasma light source and reflective optics to project mask patterns onto the wafer. As error budgets t... » read more

Liquid Cooling Drives Other Localized Cooling


Key Takeaways: When converting from air to liquid cooling, components without liquid may become too hot. An entire board or system must undergo thermal analysis to ensure that any components that were once cool enough remain cool. Alternative cooling techniques may be needed for components without liquid cooling. Liquid cooling is proving effective at cooling high-power chip... » read more

Advanced Packaging Limits Come Into Focus


Key Takeaways: Packaging is now a performance variable. Substrate, bonding, and process sequence determine what can be built at scale. Warpage underlies most advanced packaging failures and gets harder to control as package sizes grow. Every proposed solution, such as glass, panel processing, and backside power, solves one problem while creating another. Moore's Law has shif... » read more

Replay‑based Validation as a Scalable Methodology for Chiplet‑based Systems (Intel, Synopsys)


A new technical paper, "ODIN-Based CPU-GPU Architecture with Replay-Driven Simulation and Emulation," was published by researchers at Intel, Nvidia and Synopsys. Abstract "Integration of CPU and GPU technologies is a key enabler for modern AI and graphics workloads, combining control-oriented processing with massive parallel compute capability. As systems evolve toward chiplet-based archite... » read more

Blog Review: Mar. 18


Cadence's Jamdagni Trivedi explains the UALink Protocol Level Interface, which defines how devices exchange data and control information, and shares insights into its structure, functionality, and significance in multi-node accelerator systems. Synopsys' Dustin Todd argues that AI sovereignty will be defined by and built on strategic interdependence, where countries develop and retain meanin... » read more

AI Design Reshapes Data Management


Key takeaways: Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and inference workloads grow, data movement, congestion, and energy efficiency become the dominant challenges, often surpassing raw compute capability. Proprietary and comple... » read more

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

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