Google Shifts to TSMC for Tensor Chips, Aiming to Boost Pixel Performance

Reviewed byNidhi Govil

2 Sources

Google plans to switch from Samsung to TSMC for manufacturing its Tensor chips, starting with the Pixel 10. This partnership is expected to continue for 3-5 years, potentially improving the performance and efficiency of future Pixel devices.

Google's Strategic Shift to TSMC for Tensor Chips

Google is making a significant change in its chip manufacturing strategy for its Pixel smartphones. The tech giant plans to switch from Samsung to Taiwan Semiconductor Manufacturing Company (TSMC) for the production of its Tensor chips, starting with the upcoming Pixel 10 12. This move is expected to have far-reaching implications for the performance and efficiency of future Pixel devices.

Long-Term Partnership with TSMC

According to a report from DigiTimes, Google's partnership with TSMC is not a one-time affair. The company is committed to using TSMC's foundry services for at least the next 3-5 years, potentially extending to the Pixel 14 in 2029 1. This long-term commitment underscores Google's confidence in TSMC's superior fabrication technology and its potential to enhance the Tensor chip's capabilities.

Advantages of TSMC's Advanced Process Node

TSMC's cutting-edge process nodes are known for their superior performance and efficiency compared to Samsung's offerings. By switching to TSMC, Google aims to address some of the key weaknesses of its Tensor chips, particularly in terms of thermal efficiency and power consumption 2. The move is expected to result in Tensor chips that run cooler and consume less power, potentially resolving issues that have plagued previous Pixel models.

Implications for Future Pixel Devices

The shift to TSMC's foundry is anticipated to have several positive impacts on future Pixel smartphones:

  1. Improved Thermal Efficiency: The superior process node should help mitigate overheating issues, ensuring more stable performance under load 1.

  2. Enhanced Battery Life: A cooler-running chip typically translates to better power efficiency, which could significantly improve the battery life of Pixel devices 2.

  3. Competitive Edge: By aligning with TSMC, Google joins the ranks of industry leaders like Apple and Qualcomm, potentially narrowing the performance gap in mobile chip technology 1.

The Pixel 10 and Beyond

Rumors suggest that the Pixel 10's Tensor G5 chip will be fabricated on TSMC's 3nm node, the same technology used for Apple's A18 SoC in the iPhone 16 1. This parity in manufacturing technology could lead to more competitive performance from Google's chips.

Challenges and Considerations

While the switch to TSMC is promising, it's important to note that process node improvements alone do not guarantee superior performance. Factors such as architectural design, CPU core updates, and clock speeds play crucial roles in determining a chip's overall capabilities 1. Google will need to focus on these aspects alongside the manufacturing process to truly compete with top-tier mobile processors.

Furthermore, securing capacity at TSMC's advanced nodes is highly competitive, with companies often booking years in advance. Google's multi-year commitment suggests a strategic long-term plan for its chip development 2.

Source: Android Police

Source: Android Police

As Google continues to refine its Tensor chips, the partnership with TSMC marks a significant step towards addressing past shortcomings and potentially elevating the Pixel line to new heights of performance and efficiency in the competitive smartphone market.

Explore today's top stories

NVIDIA Unveils Major GeForce NOW Upgrade with RTX 5080 Performance and Expanded Game Library

NVIDIA announces significant upgrades to its GeForce NOW cloud gaming service, including RTX 5080-class performance, improved streaming quality, and an expanded game library, set to launch in September 2025.

CNET logoengadget logoPCWorld logo

10 Sources

Technology

18 hrs ago

NVIDIA Unveils Major GeForce NOW Upgrade with RTX 5080

Nvidia Develops New AI Chip for China Amid Geopolitical Tensions

Nvidia is reportedly developing a new AI chip, the B30A, based on its latest Blackwell architecture for the Chinese market. This chip is expected to outperform the currently allowed H20 model, raising questions about U.S. regulatory approval and the ongoing tech trade tensions between the U.S. and China.

TechCrunch logoTom's Hardware logoReuters logo

11 Sources

Technology

18 hrs ago

Nvidia Develops New AI Chip for China Amid Geopolitical

SoftBank's $2 Billion Investment in Intel: A Strategic Move in the AI Chip Race

SoftBank Group has agreed to invest $2 billion in Intel, buying common stock at $23 per share. This strategic investment comes as Intel undergoes a major restructuring under new CEO Lip-Bu Tan, aiming to regain its competitive edge in the semiconductor industry, particularly in AI chips.

TechCrunch logoTom's Hardware logoReuters logo

18 Sources

Business

10 hrs ago

SoftBank's $2 Billion Investment in Intel: A Strategic Move

Databricks Secures $100 Billion Valuation in Latest Funding Round, Highlighting AI Sector's Rapid Growth

Databricks, a data analytics firm, is set to raise its valuation to over $100 billion in a new funding round, showcasing the strong investor interest in AI startups. The company plans to use the funds for AI acquisitions and product development.

Reuters logoAnalytics India Magazine logoU.S. News & World Report logo

7 Sources

Business

2 hrs ago

Databricks Secures $100 Billion Valuation in Latest Funding

OpenAI Launches Affordable ChatGPT Go Plan in India, Eyeing Global Expansion

OpenAI introduces ChatGPT Go, a new subscription plan priced at ₹399 ($4.60) per month exclusively for Indian users, offering enhanced features and affordability to capture a larger market share.

TechCrunch logoBloomberg Business logoReuters logo

15 Sources

Technology

10 hrs ago

OpenAI Launches Affordable ChatGPT Go Plan in India, Eyeing
TheOutpost.ai

Your Daily Dose of Curated AI News

Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Spend less time searching for the latest in AI and get straight to action.

© 2025 Triveous Technologies Private Limited
Instagram logo
LinkedIn logo