Hon. Precision (HPI), a leading IC test equipment manufacturer, is benefiting from robust AI chip demand. In the first quarter of 2025, its after-tax net profit surged to NT$2.568 billion (approx.

U.S. companies like OpenAI and Anthropic lead in developing AI algorithms, while NVIDIA excels in producing semiconductor chips for training these models. Frontier AI also depends on cloud ...

MLCommons, a nonprofit group that publishes benchmark performance results for AI systems, released new data about chips from Nvidia and Advanced Micro Devices (AMD.O), opens new tab, among others ...

Nvidia’s (NVDA) delicate dance in China continues. Amid U.S. export restrictions on its advanced AI chips, the chip giant valued at $3.3 trillion is reworking its product line — again — to ...

Nvidia plans to start mass production of the new AI chips in June, which will be part of the firm’s latest generation of AI chips, Reuters reported on May 26, citing people familiar with the matter.

Huawei launched Hubble Technology Investment Co. in response to US sanctions in 2019, a wholly owned subsidiary aimed at accelerating China's push for semiconductor independence. Hubble has since ...

In the age of AI, all roads lead to the Taiwan based TSMC (directly or indirectly, as the case might be), and even tariffs can't slow it down.

Similar News Stories. White House AI czar says China is only 3-6 months behind the US in AI, not years behind; TikTok owner ByteDance to train its AI model using 100,000+ of Huawei's new Ascend AI ...

Nvidia’s next wave of AI chips is heading for mass production at TSMC’s Arizona plant before the end of the year, according to fresh reports from Taiwan. The US site, which began producing N4 ...

This means that even if the B30 is slower than homegrown AI chips in China, the fact that you can connect multiple one of them to act as one single high-perf computing cluster is a big, big deal.

Explore the evolving AI arms race, featuring Chinese and U.S. advancements, as highlighted in Google's recent I/O event.

While Nvidia dominates the AI space with its GPUs, there are competitors, including ASICs. TSMC's CEO, CC Wei, said the company makes both GPUs and ASICs. As competition heats up in the AI chip ...