NVIDIA Shifts Focus to “Custom Chip” Production, Recruits Elite Taiwanese Experts

NVIDIA seems to be venturing into the realm of “custom chip” production as the company brings on board a number of Taiwanese engineers to delve into this area.

NVIDIA is reportedly planning to dive into ASIC manufacturing, setting up a new R&D center in Taiwan to leverage local talent. It’s no surprise, really; many tech firms are aiming to create their own AI compute resources tailored to their specific needs. While NVIDIA is currently known for its broader AI product lines, like the Blackwell and Hopper series, they’re still working towards offering more personalized solutions. According to ChinaTimes, NVIDIA’s proposed R&D center in Taiwan will focus on developing ASIC solutions, and they’ve started a major hiring push to bring in local engineers.

The report also suggests that NVIDIA is eyeing the establishment of ASIC production facilities in the future. Right now, though, their main priority seems to be building a strong team. They’re actively recruiting top Taiwanese talent to prevent other companies from snapping them up, with big names in IC design like MediaTek also vying for the best employees. As such, NVIDIA is keen to secure these skilled professionals for themselves.

In the wider tech landscape, companies like Google, Amazon, and Apple are all racing to develop custom AI chips to reduce their reliance on NVIDIA and to optimize these solutions for their specific workloads. This trend seems to be pushing NVIDIA to focus more on the custom chip sector, and given their strong reputation in Taiwan’s ASIC manufacturing space, they are in a good position to see significant sales growth in this area.

There are also rumors that NVIDIA is working on custom chips for the AI PC market in collaboration with MediaTek, indicating that their ambitions go beyond just the AI sector. With their experience with the Tegra SoC, used in the Nintendo Switch, they already have a solid foundation. Custom AI chips could become a game-changer in the computing industry, potentially allowing NVIDIA to retain its competitive edge by preventing other companies from developing their proprietary chips.