Verifying Scale-Up And Scale-Out In Data Centers


Semiconductor Engineering sat down to discuss challenges and solutions for data center build-out and build-up with Gordon Allan, Siemens EDA director of verification IP; Rishi Chugh, vice president of product marketing for network switching at Marvell; Saravanan Kalinagasamy, senior director of ASIC design and validation at Astera Labs; and Jalaj Gupta, product engineering lead at Siemens EDA. ... » read more

Chip Industry Week In Review


Geopolitics U.S. lawmakers are urging tighter export controls on advanced semiconductor manufacturing equipment (SME) to China, warning existing loopholes threaten national security. "China is working to build domestic SME by exploiting access to U.S. and allied subcomponents required to produce tools," states the letter, which also says better coordination with allies is essential. The U.S.... » read more

PCIe Technology in Switches


Two benefits of using PCIe switches include accessibility to more endpoints and enabling data center disaggregation. Rambus's Lou Ternullo and Wesley Yung from Astera Labs discuss benefits, use cases, and PCIe technology used in switches in this video from PCI-SIG. Hear more about the technology here. » read more

Chip Industry Week in Review


Retaliations and countermoves leading up to planned trade talks between the U.S. and China led experts to wonder, 'Who's winning?' New activity on this front: China issued questionnaires to some U.S. semiconductor firms as part of an anti-dumping probe, demanding detailed data on sales, profit margins, logistics costs and Chinese customer names for analog chips. The probe appears aimed at ... » read more

What Do LLMs Want from Hardware


Figure 1: Noam Shazeer, Google Gemini vice president, presented this in his Hot Chips 2025 talk. Noam Shazeer is Google’s vice president of engineering for Gemini, their LLM competitor to ChatGPT. He talked recently at Hot Chips: “Predictions for the Next Phase of AI." He has worked on LLMs for a decade since inventing the transformer model in 2017. As his slide says, LLMs can take adv... » read more

Chip Industry Week in Review


Podcast: imec's roadmap and a one-on-one interview with the European research house's chief strategy officer. China's Xiaomi debuted an in-house-designed 10-core mobile SoC built on a 3nm process. The company did not identify the foundry. It also announced plans to invest 50 billion yuan (~$7B) over the next decade to develop high-end smartphone chips, as part of a 200 billion yuan (~$28B) c... » read more

Chip Industry Week In Review


Analog Devices acquired Flex Logix's technology assets, along with its technical team. Semiconductor global sales increased 23% in Q3 2024 $166B, up almost 11% versus the same period in 2023, according to SIA. Notable regional year-to-year sales in September: Americas up 46%, China up 23%, Europe down 8%. Fig.1: Worldwide Semiconductor Revenues, year-to-year % change. Source: Semiconduc... » read more

Chip Industry Week In Review


By Adam Kovac, Gregory Haley, and Liz Allan. The U.S. government released a 61-page report, titled "National Strategy on Microelectronics Research,” by the Subcommittee On Microelectronics Leadership. It provides a framework for government, industry, academia, and international allies to address four major goals. Synopsys  acquired Intrinsic ID, which develops physical unclonable func... » read more

Chip Industry Week In Review


By Jesse Allen, Gregory Haley, and Liz Allan Intel officially launched Intel Foundry this week, claiming it's the "world's first systems foundry for the AI era." The foundry also showed off a more detailed technology roadmap down to expanded 14A process technology. Intel CEO Pat Gelsinger noted the foundry will be separate from the chipmaker, utilize third-party chiplets and IP, and leverage... » read more

Chip Industry Week In Review


By Susan Rambo, Gregory Haley, Jesse Allen, and Liz Allan President Biden issued an executive order on the “Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.” It says entities need to report large-scale computing clusters and the total computing power available, including “any model that was trained using a quantity of computing power greater than 1,026 inte... » read more

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