Japanese industrial robot manufacturer Fanuc announced on December 1, 2025, that it will partner with Nvidia to develop AI-driven robots capable of performing tasks based on verbal...

Google's expanding investment in custom AI accelerators is reshaping the high-bandwidth memory market and lifting Samsung Electronics and SK Hynix as demand for tensor processing...

Artificial intelligence (AI) has remained one of the few sectors with sustained global momentum over the past two years, but the underlying architecture of AI computing is shifting...

Nvidia's US$2 billion investment in Synopsys marks a pivotal attempt to extend CUDA and GPU-accelerated computing from AI training into the core of industrial and semiconductor engineering,...

Artificial intelligence (AI) is fueling a DRAM supercycle, prompting South Korean securities firms to continuously raise their forecasts for Samsung Electronics' operating profit...

Despite Nvidia CEO Jensen Huang and many industry veterans arguing that former TSMC senior vice president Wei-Jen Lo joining Intel will not materially affect TSMC — given the...

US AI company PaleBlueDot AI is reportedly seeking a US$300 million loan to help Chinese social media platform RedNote (Xiaohongshu) use Nvidia's high-end AI chips through a data...

Following the US ban on sales of Nvidia's high-end chips to China, expectations have grown that Baidu could rapidly emerge as a new force in China's AI chip sector and become the...

Google's success training the Gemini frontier model entirely on in-house TPUs has boosted confidence among China's tech giants. It strengthens the view that reducing Nvidia dependence...

In a recent interview with the Financial Times, former Intel CEO Pat Gelsinger delivered a bold forecast: quantum computing could reach mainstream...

Media reports show that Google's Ironwood TPU is equipped with HBM3E from Samsung Electronics and SK Hynix. According to the Korea Economic Daily, Samsung supplied over 60%...

These are the most-read DIGITIMES Asia stories in the week of November 24 to November 30, 2025.

Driven by strong AI demand, TSMC continues to expand its advanced process capacity. To meet long-term needs from customers like Nvidia, TSMC is not only ramping up 3nm production...