Chip Industry Week In Review


By Jesse Allen, Karen Heyman, and Liz Allan Renesas will acquire Transphorm, which designs and manufactures gallium nitride power devices, for about $339 million. GaN, which is a wide-bandgap technology, is used for high-voltage applications in a slew of markets, including EVs and EV fast chargers, as well as data centers and industrial applications. Cadence acquired Invecas, a provider o... » read more

Top500: Frontier Still On Top, Sunway Formally Reappears


New versions of the Top500 and Green500 lists have been released, and Frontier continues its reign at Number. 1. But a newcomer, Aurora, using Intel’s Sapphire Rapids, has entered at the Number 2 position with a “half-scale” system. Both machines are HPE Crays, with the former using AMD optimized third-gen EPYC 64C at 2.0GHz and AMD Instinct MI250X, while the latter uses Intel Xeon CPU... » read more

Money Pours Into New Fabs And Facilities


Fabs, packaging, test and assembly, and R&D all drew major funding in 2023. Companies poured money into offshore locations, such as India and Malaysia, to access a larger workforce and lower costs, while also partnering with governments to secure domestic supply chains amid ongoing geopolitical turmoil. Looking ahead, artificial intelligence (AI), quantum computing, and data applications... » read more

Proprietary Vs. Commercial Chiplets


Large chipmakers are focusing on chiplets as the best path forward for integrating more functions into electronic devices. The challenge now is how to pull the rest of the chip industry along, creating a marketplace for third-party chiplets that can be chosen from a menu using specific criteria that can speed time to market, help to control costs, and behave as reliably as chiplets developed in... » 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

Chip Industry Week In Review


By Susan Rambo, Gregory Haley, and Liz Allan Amkor plans to invest about $2 billion in a new advanced packaging and test facility in Peoria, Arizona. When finished, it will employ about 2,000 people and will be the largest outsourced advanced packaging facility in the U.S. The first phase of the construction is expected to be completed and operational within two to three years. Synopsys p... » read more

3D-ICs May Be The Least-Cost Option


When 2.5D and 3D packaging were first conceived, the general consensus was that only the largest semiconductor houses would be able to afford them, but development costs are quickly coming under control. In some cases, these advanced packages actually may turn out to be the lowest-cost options. With stacked die [1], each die is considered to be a complete functional block or sub-system. In t... » read more

Artificial Intelligence Wonderland


Silicon Catalyst held its Sixth Annual Semiconductor Forum in Menlo Park on the SRI campus on November 9th. Richard Curtin, Managing Partner for Si Catalyst, opened the event with a reference to Arthur C. Clarke’s "2001: A Space Odyssey" and noted how remarkable it was that a novel written back in 1968 was able to foretell the direction of the computer industry over 50 years into the future. ... » read more

Chip Industry Week In Review


By Jesse Allen, Karen Heyman, and Liz Allan Japan's Rapidus and the University of Tokyo are teaming up with France's Leti to meet its previously announced mass production goal of 2nm chips by 2027, and chips in the 1nm range in the 2030s. Rapidus was formed in 2022 with the support of eight Japanese companies — Sony, Kioxia, Denso, NEC, NTT, SoftBank, Toyota, and Mitsubishi's banking arm, ... » read more

Increasing AI Energy Efficiency With Compute In Memory


Skyrocketing AI compute workloads and fixed power budgets are forcing chip and system architects to take a much harder look at compute in memory (CIM), which until recently was considered little more than a science project. CIM solves two problems. First, it takes more energy to move data back and forth between memory and processor than to actually process it. And second, there is so much da... » read more

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