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Google<\/strong><\/a> is set to take a significant leap forward with its upcoming Pixel 10 series by transitioning the production of its custom Tensor chips from Samsung Foundry<\/strong><\/a> to Taiwan Semiconductor Manufacturing Company (TSMC)<\/strong><\/a>. This strategic change is expected to boost performance, efficiency, and long-term innovation in Pixel devices.<\/span><\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n Pixel 10 series to feature the first TSMC-made Tensor G5 chip<\/strong><\/span><\/p>\n Chip to be fabricated on TSMC\u2019s 3nm N3E process<\/strong><\/span><\/p>\n Move expected to improve performance, thermal management, and efficiency<\/strong><\/span><\/p>\n Long-term partnership includes potential cloud TPU and AI chip collaborations<\/strong><\/span><\/p>\n Pixel 10 lineup could include four models, including a foldable variant<\/strong><\/span><\/p>\n Google aims to align with top-tier hardware players like Apple<\/strong><\/span><\/p>\n \u00a0<\/p>\n According to a report from DigiTimes<\/strong><\/a>, Google<\/a> has finalized a long-term manufacturing agreement with TSMC<\/strong><\/a>, the world\u2019s most advanced semiconductor foundry. This shift begins with the Tensor G5 chip, expected to debut in the Pixel 10 series in 2025. Unlike previous Tensor chips, which were produced by Samsung using a 4nm process, the G5 will be built using TSMC\u2019s advanced 3nm N3E node.<\/span><\/p>\n \u00a0<\/p>\n This move is more than just a change in supplier\u2014it signals Google\u2019s growing ambitions in the hardware space and its intent to resolve key issues plaguing previous Tensor generations, such as overheating, power inefficiency, and poor yields.<\/span><\/p>\n \u00a0<\/p>\n Internally codenamed \u201cLaguna,\u201d the Tensor G5 SoC is expected to bring notable architectural and performance improvements. While exact specifications remain under wraps, early leaks suggest the following configuration:<\/span><\/p>\n \u00a0<\/p>\n CPU<\/strong>: 1x Cortex-X4 + 5x Cortex-A725 + 2x Cortex-A520<\/span><\/p>\n TPU<\/strong>: Custom Google TPU for AI and machine learning<\/span><\/p>\n DSP<\/strong>: Google GXP digital signal processor<\/span><\/p>\n Edge AI<\/strong>: Google EdgeTPU for on-device inference<\/span><\/p>\n Audio<\/strong>: Always-On Compute (AoC) processor for audio tasks<\/span><\/p>\n Memory<\/strong>: Google\u2019s Emerald Hill memory co-processor<\/span><\/p>\n GPU<\/strong>: DXT series graphics from Imagination Technologies<\/span><\/p>\n \u00a0<\/p>\n The use of TSMC\u2019s 3nm process is expected to drastically reduce power consumption while increasing both peak and sustained performance.<\/span><\/p>\n \u00a0<\/p>\n Reports suggest that Google executives recently visited TSMC in Taiwan to explore not just smartphone chip production, but also collaboration in other areas. These include custom silicon for cloud data centers, TPUs (Tensor Processing Units), IC design, server hardware, and liquid cooling technologies.<\/span><\/p>\n \u00a0<\/p>\n This long-term strategic partnership could see TSMC playing a key role in Google\u2019s broader AI and cloud infrastructure roadmap over the next decade.<\/span><\/p>\n \u00a0<\/p>\n Google\u2019s upcoming Pixel 10 series is expected to be its most diversified yet. Leaks point to four possible devices:<\/span><\/p>\n \u00a0<\/p>\n Pixel 10<\/p>\n Pixel 10 Pro<\/p>\n Pixel 10 Pro XL<\/p>\n Pixel 10 Pro Fold (foldable model)<\/span><\/p>\n \u00a0<\/p>\n By expanding the range and improving chip performance, Google aims to better compete with top-tier players like Apple, who also use TSMC for their A-series chips.<\/span><\/p>\n \u00a0<\/p>\n Shifting to TSMC is not just about better chip specs. It also reflects Google\u2019s desire to control its hardware destiny more tightly and ensure consistent performance across its ecosystem. Samsung\u2019s ongoing yield problems, particularly with the Exynos 2500, have only reinforced the need for a more reliable foundry partner.<\/span><\/p>\n \u00a0<\/p>\n TSMC\u2019s proven track record with clients like Apple<\/a>, Qualcomm<\/a>, and AMD<\/a> makes it a natural fit for Google\u2019s long-term ambitions.<\/span><\/p>\n \u00a0<\/p>\n With the Tensor G5 chip and a shift to TSMC\u2019s 3nm process, the Pixel 10 series could mark a pivotal turning point for Google\u2019s smartphone ambitions. The move promises more efficient, powerful, and reliable devices\u2014and a tighter integration between software and hardware. As AI and on-device processing become increasingly central to smartphone experiences, this change positions Google to lead the next wave of innovation.<\/span><\/p>\n \u00a0<\/p>\n Expect more details to emerge as we approach the Pixel 10 launch window in late 2025.<\/span><\/p>\n \u00a0<\/p>\n Latest Technology News | Updates<\/a> | Latest Electric Vehicle News | Updates<\/a> | Electronics News<\/a> | Mobile News | Updates<\/a> | Software Updates<\/a><\/p>\n \n Facebook<\/a> | Twitter<\/a> | WhatsApp Channel<\/a> | Instagram<\/a> | Telegram<\/a> | Threads<\/a> | LinkedIn<\/a> | YouTube<\/a><\/p>\n \u00a0<\/p>\n Stay informed, Stay Connected!<\/p>\n The post Google Pixel 10 Series to Debut Tensor G5 Chip Built on TSMC\u2019s 3nm Node, Ending Samsung Collaboration for Better Performance<\/a> appeared first on Before You Take<\/a>.<\/p>","protected":false},"excerpt":{"rendered":" \u00a0 Google is set to take a significant leap forward with its upcoming Pixel 10 series by transitioning the production of its custom Tensor chips from Samsung Foundry to Taiwan Semiconductor Manufacturing Company (TSMC). This strategic change is expected to boost performance, efficiency, Continue reading Google Pixel 10 Series to Debut Tensor G5 Chip Built on TSMC\u2019s 3nm Node, Ending Samsung Collaboration for Better Performance<\/span>Key Points:<\/h1>\n
A Major Break from Samsung Foundry<\/h2>\n
Tensor G5: What We Know So Far<\/h2>\n
A Multi-Year Collaboration Beyond Smartphones<\/h2>\n
The Pixel 10 Lineup: More Than Just One Flagship<\/h2>\n
Why This Move Matters<\/h2>\n
Final Thoughts<\/h1>\n
Follow Before You Take<\/a> on:\u00a0<\/span><\/h3>\n