A LinkedIn post from DeepRouteai highlights that its CTO, Tongyi Cao, is scheduled to speak at NVIDIA GTC 2026 on a session focused on “Redefining the Boundaries of Autonomous Driving with Foundation Model.” The post emphasizes the company’s use of a 40B-parameter VLA foundation model and references more than 200,000 vehicles reportedly on the road leveraging its technology.
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The post suggests that DeepRoute.ai views large-scale models, combined with extensive driving data and simulation, as a flywheel toward higher levels of autonomy, including a path to full Level 5 capability. For investors, this positioning at a major NVIDIA ecosystem event may indicate tighter alignment with leading AI infrastructure, potential differentiation in the autonomous driving stack, and a focus on scalable, data-driven deployment.
By underscoring scaling laws and “Model x Data x Simulation” as a core framework, the post implies that DeepRoute.ai is investing in approaches that may improve performance as volumes grow. If the company can convert technical visibility at GTC into commercial relationships or deeper OEM integrations, this strategy could support long-term monetization in autonomous mobility and strengthen its competitive standing against other ADAS and robotaxi players.