Chip Industry Week In Review


U.S. Trade Representative Jamieson Greer warned Southeast Asian semiconductor manufacturers that they must shift production to the U.S. or face new punitive tariffs, reports the South China Morning Post. President Trump previously floated a 100% tariff on imported chips. Malaysia and other regional economies are offering large concessions and promises of U.S. goods purchases in hopes of securin... » read more

Chip Industry Week in Review


The U.S. is considering annual approvals for Samsung and SK hynix to export chipmaking tools and materials to their factories in China, replacing perpetual waivers granted under the validated end user system, reports Bloomberg. The proposal, presented by the U.S. Commerce Department to South Korean officials, would require the companies to reapply each year for specific quantities of restricted... » read more

Making The Most of Test Resources


Semiconductor testing is undergoing multiple paradigm changes at once with the common goals of producing more known good die per month with low test cost. Achieving these goals requires a delicate balance between yield, quality, and test times. There are multiple ways to go about making better use of existing resources, many of which involve an increasing use of design for test (DFT) methods... » read more

The Hidden Cost Of Contact Resistance


Contact resistance, or CRES, is one of those problems that most engineers prefer not to think about until it's staring them in the face. For years, it could be managed quietly with routine probe card cleaning or a scheduled socket swap. That approach worked well enough when pin counts were lower and devices pulled less current, but the ground has shifted since then. Today’s AI processors m... » read more

Same Chip, Two Destinies: How Power Profiles Improve With On-Chip Monitoring


What happens to critical power-related considerations when the same chip is handled two different ways, with or without visibility from within? This article begins by examining how the absence of on-chip monitoring impacts peak power, average power, and Di/Dt noise (rate of current change), as illustrated in the diagram below and the subsequent discussion. It then details how these aspects c... » read more

Chip Industry Week in Review


Cadence plans to buy Hexagon AB's design and engineering business to accelerate expansion in physical AI and system design and analysis. Cadence will pay ~US$3.1 billion in cash and issue stock, with the deal expected to close in early 2026. PWC issued a 104-page in-depth analysis of semiconductor technology and markets, highlighting a broad swath of changes: $1T in annual revenue by 2030, ... » read more

Chip Industry Week in Review


Microsoft, OpenAI, and NVIDIA warned about power swings and physical damage to power grids increasing from AI training workloads and jointly proposed a multi-pronged approach to stabilize power in AI training data centers. Meanwhile, Anthropic issued a warning about the weaponization of agentic AI in a new 25-page Threat Intelligence report. Key concerns involve the evolution in AI-assisted ... » read more

The Painful Reality Of Scaling Cloud AI


The shift to Generative AI (GenAI) has overwhelmed existing infrastructure, transforming previously rare issues into daily operational realities. Skyrocketing costs, intense energy consumption, and hardware failures at unprecedented scales illustrate the strain of current AI workloads. With models like GPT-4 costing tens of millions and GPT-5 projected to surpass a billion-dollar threshold, the... » read more

Optimizing System Production with On-Chip Telemetry and ML-Driven Analytics


Abstract As system companies integrate increasingly advanced chips onto their boards for high-performance markets such as AI, Cloud, Telecommunications, and Automotive, the complexity of system production continues to rise. Ensuring quality, performance, and lifetime reliability while minimizing test costs and production time has become a significant challenge.‍ A new solution addres... » read more

Crisis Ahead: Power Consumption In AI Data Centers


AI data centers are consuming energy at roughly four times the rate that more electricity is being added to grids, setting the stage for fundamental shifts in where power is generated, where AI data centers are built, and much more efficient system, chip, and software architectures. The numbers are particularly striking for the United States and China, which are in a race to ramp up AI data ... » read more

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