


Google is likely still a few months away from releasing its first Tensor G4-based devices. Currently, the company is expected to offer the Tensor G4 inside four Pixel 9 series devices, of which only the Pixel 9 and Pixel 9 Pro XL are direct successors to the Pixel 8 and Pixel 8 Pro (curr. $749 on Amazon), respectively. For reference, the other two are the Pixel 9 Pro and the Pixel 9 Pro Fold, the former an iPhone 15 Pro alternative and the latter an alleged successor to the Pixel Fold.
Regardless, the likes of Business Korea have turned their attention towards Google's next-generation chipset, which is referred to for now as the Tensor G5. Building on earlier reports,Business Koreaclaims that Google will source TSMC 3 nm nodes for Tensor G5, which Apple already uses for the A17 Pro inside the iPhone 15 Pro and iPhone 15 Pro Max. Incidentally, the same website expects TSMC to fabricate upcoming MediaTek and Qualcomm chips using the same nodes; presumably, these will serve as rivals to the Tensor G5.
Likewise, AMD, NVIDIA and Intel are also said to have prioritised these nodes. For context, there are reports that TSMC has already started mass-producing Lunar Lake processors for Intel using its N3B nodes. Reportedly, Google and its competitors have moved away from Samsung Foundry for a few reasons. Not only is Samsung Foundry experiencing poor yields of its 3 nm process, but those that it has produced deliver 10-20% worse heat and power consumption than their TSMC counterparts. Citing a 'representative from a major global foundry company,Business Koreaadds:
Working For NotebookcheckAre you a techie who knows how to write? Then join our Team! Wanted:- News WriterDetails hereThe main reason big customers choose TSMC is the difference in chip power efficiency offered by both companies at cutting-edge processes.
The above is the detailed content of Google to partner with TSMC to build Tensor G5 around 3 nm nodes for Pixel 10 and Pixel 10 Pro flagships. For more information, please follow other related articles on the PHP Chinese website!

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近几年自然语言处理的进展很大程度上都来自于大规模语言模型,每次发布的新模型都将参数量、训练数据量推向新高,同时也会对现有基准排行进行一次屠榜!比如今年4月,Google发布5400亿参数的语言模型PaLM(Pathways Language Model)在语言和推理类的一系列测评中成功超越人类,尤其是在few-shot小样本学习场景下的优异性能,也让PaLM被认为是下一代语言模型的发展方向。同理,视觉语言模型其实也是大力出奇迹,可以通过提升模型的规模来提升性能。当然了,如果只是多任务的视觉语言模

使用Google字体能够显著增强数字内容的视觉吸引力。透过精心挑选的字体,您可以为信息设定特定的氛围,提升文本的易读性,为观众带来更具吸引力的阅读体验。通过GoogleFonts,您可以轻松地探索各种字体风格,找到与您的设计理念完美契合的字体。在Ubuntu上安装GoogleFonts22.04LTSJammyJellyfish在开始安装之前,请务必确保您的Ubuntu22.04系统是最新的。保持系统更新不仅可确保您拥有最新功能和安全补丁,还有助于避免新软件安装时可能出现的兼容性问题。sudoa


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