#tsmc

#tsmc

Rivian Automotive Inc. has developed its own artificial intelligence chip, replacing Nvidia Corp. technology as part of a broader push to add and enhance automated-driving features in future vehicles. The automaker will equip its upcoming R2 sport utility vehicles with Rivian Autonomy Processor 1 chips and a new lidar sensor. Taiwan Semiconductor Manufacturing Co. will produce the chips that, combined with the new sensor and AI model developments, will bolster Rivian's efforts to eventually offer autonomous driving capability.

TSMC is the other. TSMC is using its 3nm process, reportedly, while Samsung will do a 2nm as a litmus test for the process. The different versions are due to the fact that 'they translate designs to physical form differently,' CEO Elon Musk said recently. The goal is for the two to operate identically, obviously, which is a challenge. Some might remember Apple's A9 'Chipgate' saga, which found that the chips differed in performance because of different manufacturers.

In the high tech universe, there is only a single common road that Nvidia (NASDAQ: NVDA), Advanced Micro Devices (NASDAQ: AMD), Apple (NASDAQ: AAPL), Qualcomm (NASDAQ: QCOM), Broadcom (NASDAQ: AVGO) and many others must go to get their chips made, no matter where they hail from. That road inevitably leads to Taiwan Semiconductor Manufacturing Company Ltd. (NYSE: TSM), the largest semiconductor foundry on the planet.

That doesn't mean it will be all plain sailing for Google and its TPU customers, though: Myron Xie, a research analyst at SemiAnalysis, warned that Google might also face constraints in terms of chip manufacturing capacity at Taiwan Semiconductor Manufacturing Company (TSMC), which is facing bottlenecks around limited capacity for advanced chip packaging. Designed for TensorFlow Ironwood is the seventh generation of Google's TPU platform, and

The AI5 chip is Tesla's next-generation hardware chip for its self-driving program, Optimus humanoid robots, and other AI-driven features in both vehicles and other applications. It will be the successor to the current AI4, previously known as Hardware 4, which is currently utilized in Tesla's newest vehicles. AI5 is specially optimized for Tesla use, as it will work alongside the company's Neural Networks to focus on real-time inference to make safe and logical decisions during operation.

TSMC has received notification from the US government that our VEU authorization for TSMC Nanjing will be revoked effective Dec. 31, 2025,

Earlier this year, we saw a report which claimed that TSMC is struggling with its 2nm chip yield. This was rumored to lead to delays for key customers like Apple, but a new report from DigiTimes claims that TSMC has things under control now and 2nm chip mass production is on track for Q4 this year. According to the new report, TSMC will simultaneously begin mass producing 2nm chips at its Baoshan and Kaohsiung plants in Taiwan, with a combined monthly wafer output of 45,000 to 50,000 units by the end of this year.

"TSMC and UTokyo are both global leaders in their respective fields, and we hope that this lab will serve as a hub for a broad and long-lasting partnership to expand the boundaries of knowledge in the field of semiconductors and nurture generations of talent for the future."

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