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Friday 28 November 2025
Meta's Google TPU shift opens new AI supply chain for Taiwan PCB makers
Recent market rumors indicate that Meta is negotiating to deploy Google's seventh-generation TPU "Ironwood" in its data centers by 2027, with procurement potentially reaching tens...
Friday 28 November 2025
Commentary: Taiwan's IC design edge in ASIC development
Taiwan's IC design sector has rapidly expanded in the application-specific integrated circuit (ASIC) market, driven by growing demand for AI applications. MediaTek has entered Google's...
Friday 28 November 2025
Yesterday AOL, today OpenAI: Google's vertical integration threatens to repeat history
In the competitive realm of artificial intelligence computing power, Nvidia currently leads the market, but Google is emerging as a formidable contender with its self-developed TPUs...
Friday 28 November 2025
China's new TPU contender aims for Nvidia's AI chip dominance
China's AI chip startup Zhonghao Xinying has introduced its own tensor processing unit (TPU), a major step in the country's "de-Americanisation" drive as US export curbs continue...
Thursday 27 November 2025
Google's Gemini 3 launch marks founder Brin's return to active AI strategy
Google has made a decisive comeback in the artificial intelligence sector with the recent launch of its upgraded Gemini 3 large language model and self-developed Tensor Processing...
Thursday 27 November 2025
Inventec gains from Google TPU drive as cloud firms seek Nvidia alternatives
Google's renewed focus on custom Tensor Processing Units (TPUs) for artificial intelligence is driving up demand for its server hardware, giving Taiwan's Inventec new momentum and...
Thursday 27 November 2025
Samsung poised for memory and foundry gains as Google TPU push accelerates
Google's push to expand its in-house Tensor Processing Unit (TPU) platform is drawing fresh attention across the semiconductor sector, and analysts say Samsung Electronics could emerge...
Thursday 27 November 2025
Google pushes TPU-OCS architecture as Gemini 3 aims at ChatGPT

Google's release of its Gemini 3 large language model (LLM) in November—trained primarily on the company's in-house TPU chips and...

Wednesday 26 November 2025
Nvidia defends GPU lead as Google TPU gains traction in AI chip market
Nvidia has asserted that its graphics processing unit (GPU) platform remains a full generation ahead of its competitors, responding to increased attention on Google's Tensor Processing...
Wednesday 26 November 2025
Google steps up in ASIC war, but brings mixed implications for MediaTek and Broadcom
Google has been on a streak of breakthroughs in AI. Gemini 3 has been outperforming major AI models, while it has also received strong engineering feedback on Antigravity. Its already...
Tuesday 25 November 2025
Meta reportedly eyes Google TPU adoption, intensifying pressure on Nvidia
Meta is reportedly negotiating to adopt Google's tensor processing units (TPUs) in its data centers starting in 2027, with plans to lease TPUs from Google Cloud as early as 2026....
Tuesday 18 November 2025
Microsoft benefits from OpenAI tech sharing for ASIC development
Microsoft CEO Satya Nadella recently stated in an interview that Microsoft can access OpenAI's model research outcomes. System-level innovations developed by OpenAI can also be fully...
Monday 17 November 2025
Shuang Bang expects demand recovery in 2026, maintains cautious outlook on performance
Shuang Bang anticipates demand for its three main product lines to rebound in 2026 amid easing US reciprocal tariffs and depleted brand inventories, with a cautiously optimistic view...
Monday 10 November 2025
Technical challenges loom over Google's orbital AI data center plans
Google CEO Sundar Pichai recently announced Project Suncatcher, an initiative to deploy the company's AI computing power via solar-powered satellites in low Earth orbit (LEO). Equipped...
Friday 7 November 2025
Google launches new TPU and Arm-based instances for AI workloads
Google has introduced Ironwood, its seventh-generation Tensor Processing Unit (TPU), designed for large-scale AI model training, reinforcement learning, and inference.