Bot Auto Selects Lenovo AD1 built on NVIDIA Hyperion to Scale Driverless Trucking

• Bot Auto now moves approximately 350 loads per month and grew revenue 270% between May and August 2026.
• Bot Auto expects the total hardware BOM for its autonomous-driving system, including compute and sensors, to be $50,000 per truck, 3-8x less than other systems.
• NVIDIA Hyperion is Bot's production compute platform for its Class 8 driverless trucks, and is a reference sensor and compute platform for Level 4 autonomous vehicles and robotaxis.
• Lenovo AD1 is reliable across conditions, rated for continuous operation from -40°C to 85°C, and engineered for the shock and vibration of Class 8 trucking.

HOUSTON, Oct. 13, 2026 /PRNewswire/ -- Bot Auto, the autonomous trucking company operating commercial driverless freight, today announced it has selected Lenovo's AD1 autonomous driving domain controller, built on NVIDIA Hyperion, as the production compute platform for its Class 8 driverless trucks. The AD1 will initially be integrated into Bot Auto trucks beginning in Q1 2027, with deployment expanding as Bot Auto increases autonomous capacity across Texas and the Southwest, supporting Bot's goal of a billion autonomous miles by 2031.

The announcement comes as Bot Auto's commercial operations enter a new phase: the company now moves approximately 350 loads per month across Texas, and grew revenue 270% between May and August 2026 as it increased its focus on commercial freight and fleet utilization. The deployment adds Bot Auto to Lenovo's list of autonomous trucking customers in the United States.

With the AD1 at the center of its NVIDIA Hyperion-based production architecture, Bot Auto expects the total hardware BOM for its autonomous-driving system, including compute and sensors, to be $50,000 per truck. Heavy Duty Journal's January 2026 cost estimate of $350,000-$600,000 for a complete autonomous truck implies an autonomy-system cost of $150,000-$400,000, three to eight times Bot Auto's figure. This substantial gap underscores the importance of hardware economics in scaling driverless freight.

"We made a deliberate choice not to scale our fleet until the compute platform itself is scalable," said Dr. Xiaodi Hou, founder and CEO of Bot Auto. "Standard servers can take you a long way during development, but they are not the architecture we want to replicate across hundreds or thousands of commercial trucks. We already operate commercial driverless freight using just one NVIDIA GeForce RTX 4090 per server, demonstrating the efficiency of our neural networks. The AD1 takes that efficiency into a production automotive platform with the compute, safety, reliability, and manufacturing characteristics required for scale with better unit-economics per truck. This gives us the hardware foundation to deploy it across a much larger commercial fleet."

"Bringing autonomous trucking to scale requires automotive-grade computing designed for safety, reliability and efficiency," said Rishi Dhall, vice president of automotive at NVIDIA. "With Lenovo's AD1 built on NVIDIA Hyperion, Bot Auto is laying the foundation to expand driverless freight operations and improve the economics of moving goods."

From Demonstration to Production

Autonomous trucking requires more than the ability to operate without a human behind the wheel. A commercially scalable autonomous vehicle must run continuously in demanding environments while meeting requirements for safety, reliability, thermal management, cybersecurity, and fault tolerance.

Lenovo's AD1 is an automotive-grade SAE Level 4 autonomous-driving domain controller built on NVIDIA Hyperion, powered by NVIDIA DRIVE AGX Thor and running NVIDIA Halos OS. It delivers up to 2,000 FP4 TFLOPS of AI compute and is designed to support ISO 26262 functional-safety requirements up to ASIL D and ISO 21434 automotive cybersecurity requirements.

Lenovo manufactures the AD1 at automotive volumes, giving Bot Auto a production-oriented compute platform designed for the requirements of a scaled commercial fleet.

NVIDIA Hyperion is a reference sensor and compute platform for Level 4 autonomous vehicles and robotaxis, combining NVIDIA DRIVE AGX Thor with the NVIDIA Halos safety system to accelerate safe, production-ready autonomy.

"Our collaboration with Bot Auto marks another milestone for Lenovo Vehicle Computing in the U.S. as we expand our footprint in the critical commercial transportation market. Deploying our AD1 platform into Bot Auto's driverless trucks demonstrates our architecture's ability to handle the extreme AI compute requirements and stringent automotive grade safety demands of Level 4 autonomous freight, and bringing Lenovo AI technology into the physical world at scale. The U.S. is a pivotal market for our vehicle computing roadmap, and we are thrilled to support Bot Auto's future commercial ramp-up as they scale driverless operations," said Peter Xu, Vice President of Lenovo and General Manager of Vehicle Computing.

Built for Long-Haul

Long-haul autonomous trucking places sustained demands on vehicle computing hardware. A truck running driverless freight must keep computing through Texas summers, winter cold snaps, and the constant vibration of a heavy-duty chassis. The AD1 is built for that environment, rated for continuous operation from -40°C to 85°C and engineered for the shock and vibration of Class 8 trucking.

Reliability comes from redundancy. The AD1 runs dual NVIDIA DRIVE AGX Thor compute domains and dual safety controllers, each on independent primary and backup power, so a single fault can be isolated without taking the system offline. Dedicated liquid cooling keeps performance stable under sustained load, and by integrating vehicle control, networking and inertial sensing into a single unit, the platform reduces the component count on every truck.

Bot Auto also uses NVIDIA accelerated computing including NVIDIA HGX B200 systems, RTX PRO Servers, and NVIDIA DGX B200 systems to train the AI models powering its autonomous-driving stack and deploy AI inference and simulation workloads. The company plans to expand its training infrastructure with NVIDIA Rubin NVL8 systems to scale its training efforts.

The Hardware Foundation for Scaled Driverless Freight.

Bot Auto has deliberately focused on validating its autonomous driving system and commercial freight operations before committing significant capital to fleet expansion. With approximately 350 loads moving each month across Texas, that validation is now taking place under commercial operating conditions.

The company is entering its growth phase: deploying a production hardware architecture designed around the economics, reliability, and operational requirements of scaled driverless trucking.

Bot Auto and Lenovo will showcase the collaboration at CES 2027 in Las Vegas in January.

About Bot Auto

Bot Auto is an L4 autonomous trucking company offering Transportation as a Service (TaaS) through its AI-driven fleet. Combining visionary leadership, world-class engineering talent, and deep industry expertise, Bot Auto delivers new transportation capacity, seamless freight integration, and cost-per-mile efficiency. The company is proud to call Houston home, anchoring itself in the Texas trucking triangle.

SOURCE Bot Auto TX, Inc