Chip Industry Week In Review


Advanced nodes and packaging AMD announced more than $10B in Taiwan ecosystem investments to scale advanced packaging manufacturing for AI infrastructure. The effort includes EFB-based 2.5D packaging collaborations with ASE and others. AMD also announced the start of its production ramp of its Venice processors on TSMC's 2nm process. Lam Research established a panel-level packaging cen... » read more

Chip Industry Week In Review


Arm uncorked its first internally developed CPU chip this week, aimed squarely at the agentic AI data center market. Arm CEO Rene Haas (pictured) emphasized the CPU's power efficiency and performance/watt compared to other AI processor architectures. "We are obsessed with efficiency, and if you think about one of the biggest appeals that Arm has had over the years, it is power profile," he ... » read more

Annual Global IC Fabs And Facilities Report


Semiconductor companies announced a significant number of facilities in 2025 as global onshoring efforts continued across manufacturing, materials, packaging, design, and R&D. Investments came from both industry and government sources. Organizations worked together to solve current technology challenges, including soaring demand for AI chips and advanced memory, as well as complex applic... » read more

Chip Industry Week in Review


Samsung reportedly is hiking memory chip prices by 30% to 60% due to high demand from AI data centers and constrained supplies. Those shortages are causing ripples elsewhere. SMIC, China's largest foundry, said its customers are holding back orders for other types of semiconductor due to concerns about memory supplies. Meanwhile, interest in photonics and power semiconductors is picking up, ... » read more

Chip Industry Week in Review


Lines are blurring between government and industry: On the heels of last week's resignation demand, Intel CEO Lip-Bu Tan met with President Trump on Monday, with the President later saying, "The meeting was a very interesting one. His success and rise is an amazing story."  Now, Bloomberg reports the Trump administration is in talks with Intel for the U.S. government to take a stake in th... » read more

Chip Industry Week in Review


The U.S. government will grant licenses to NVIDIA and AMD to again sell some AI chips — NVIDIA's H20 GPU and AMD's MI308 — to Chinese companies. TrendForce projects that the availability of NVIDIA chips, in particular, will create a surge in demand from Chinese AI firms and cloud service providers, and boost high-bandwidth memory (HBM) consumption. The move could raise China’s share of... » read more

Chip Industry Week in Review


The Chinese Academy of Sciences unveiled a fully automated processor chip design system, claiming the potential to accelerate semiconductor development and replace human programmers. Micron Technology plans to expand its U.S. investments to approximately $150 billion in domestic memory manufacturing and $50 billion in R&D, which is $30 billion higher than previously reported. AMD laun... » read more

Chip Industry Week In Review


The Malaysian government signed a deal with Arm to kickstart a chip design ecosystem. Until now, Malaysia has focused on packaging and test. Adding chip design represents a major change in focus. The country will pay SoftBank $250 million over 10 years for Arm’s chip design IP and train 10,000 engineers. Global chip sales reached $56 billion in January, up nearly 18% from the same period i... » read more

Chip Industry Week in Review


Lawrence Livermore National Laboratory is ramping up R&D for next-gen EUV and plasma-based particle sources, aiming to increase the EUV laser source power by an order of magnitude while also making it more energy-efficient. Specifically, the goal is to replace today's CO2-based laser with a solid-state laser, using a thulium-doped yttrium lithium fluoride medium to increase the laser's powe... » read more

Chip Industry Week In Review


By Jesse Allen, Karen Heyman, and Liz Allan AMD took the covers off new AI accelerators for training and inferencing of large language model and high-performance computing workloads. In its announcement, AMD focused heavily on performance leadership in the commercial AI processor space through a combination of architectural changes, better software efficiency, along with some improvements in... » read more

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