inDrive and Pony.ai sign MOU with NVIDIA to test autonomous mobility efforts in Kazakhstan using Hyperion

inDrive, the mobility and delivery platform, said it has signed a memorandum of understanding with NVIDIA and to explore autonomous mobility in Kazakhstan. The announcement, made on October 23, positions the effort as a collaboration between an urban mobility operator, an autonomous driving technology provider, and NVIDIA, which is supplying its robotics and autonomy software platform capabilities under the Hyperion name.

Hyperion is NVIDIA’s platform approach for developing and deploying accelerated AI workloads, with emphasis on robotics and autonomous systems. In this partnership, NVIDIA is described as an anchor technology partner, while is named alongside inDrive as a key operational and technical participant in the Kazakhstan effort.

For inDrive, the MoU is aimed at extending its mobility capabilities beyond traditional ride-hailing and delivery operations. Autonomous mobility efforts, if they progress from planning into pilots and then operations, can potentially reduce the operational burden of human driving and improve routing and dispatching efficiency. However, the company did not outline operational timelines or specific pilot locations in the announcement.

, meanwhile, is part of the collaboration as an autonomy and testing partner. Autonomous mobility projects typically require extensive evaluation of perception and planning systems, along with on-the-road validation, safety procedures, and local integration. The announced MoU does not provide a detailed technical scope, such as which driving functions are targeted first or what kind of fleet or service model would be tested in Kazakhstan.

NVIDIA’s role is framed around Hyperion as the underlying platform for building and running the necessary AI and autonomy workloads. While the agreement indicates an intent to use NVIDIA’s technology stack, the companies did not disclose whether the work would involve NVIDIA hardware deployments, specific software components, or measurable performance benchmarks in the initial phase.

In the broader autonomous mobility sector, partnerships like this often start with a memorandum rather than a binding contract, reflecting the early-stage nature of regulatory approvals, test design, data collection, and safety engineering. Many projects ultimately depend on government permissions and local operating conditions, and those details were not included in the announcement.

Still, the collaboration is notable because it ties together three different layers of the autonomy value chain: a mobility operator that can translate pilots into real-world service contexts, an autonomy specialist that brings evaluation and system-building expertise, and NVIDIA, which provides the accelerated computing and platform approach for AI in robotics.

The companies did not specify when they expect to begin pilots, what success metrics they will use, or whether the MoU covers any commercialization or long-term deployment. The next items to watch are any follow-on announcements that convert the MoU into a program with named test sites, partners’ responsibilities, and timelines, as well as any public updates about regulatory engagement in Kazakhstan.