Nvidia is set to establish a research hub in Singapore as the city-state enhances its AI initiatives

Nvidia, the global leader in artificial intelligence chips, is set to establish a new research center in Singapore, part of a series of AI initiatives unveiled by the city-state on Wednesday.

This new lab marks Nvidia’s inaugural research hub in Singapore and its second in the Asia Pacific region. In recent years, the company has increasingly concentrated on the deployment of embodied AI, introducing models, systems, and chips tailored for robotics. The lab will aim to enhance embodied AI and improve the efficiency of AI infrastructure, collaborating with university researchers, industry partners, and government entities.

Nvidia’s decision to expand comes as Singapore positions itself as a regional AI hub, well-suited for the real-world development, testing, and implementation of AI solutions, despite its relatively compact size.

The city-state seems to be emphasizing embodied AI—a category that encompasses robots, autonomous vehicles, and drones—which is widely regarded as a crucial next step in AI development, potentially leading to significant advancements and enhancements in the service and manufacturing sectors.

Additionally, on Wednesday, Singapore announced plans to introduce a testbed later this year to assist private companies in co-designing, deploying, testing, and validating commercially viable AI robotic technologies. Industry leaders such as Certis, DHL, Grab, and QuikBot are anticipated to be among the first to utilize this testbed.

The government will also partner with AI robotics firms like Slamtec, Unitree, and QuikBot to explore embodied AI applications through a new Center for Intelligent Robotics. The trials will involve employing AI robotics for tasks such as food and parcel delivery, as well as cleaning and security patrols, to support existing human operations.

These announcements were made on the opening day of Singapore’s ATxSummit, a technology conference that is heavily focused on AI deployment this year.

Komal Patil: