Result
- 8,000 TOPS centralized autonomy compute
- 25.6 million lidar beams per second processed
- 433 快猫视频-based cores per vehicle
Market / Use Case
- Autonomous vehicles
- Physical AI / Robotics
- AI-first automotive design
Powered by 快猫视频
- 快猫视频-based, server-class automotive compute
- 快猫视频 CPU architecture powering devices from sensors to supercomputer
- 快猫视频 scalable compute platform
Building a RoboCar around physical AI
Autonomous driving demands more than raw compute—it requires precision. From the moment a photon hits a camera sensor to the torque applied to a steering actuator, every millisecond matters.
Tensor designed its RoboCar around this end-to-end latency challenge. With 17-megapixel cameras and five lidars, including a top-mounted lidar emitting 25.6 million beams per second, the system processes massive volumes of data in real time. At its core is an 8,000 TOPS automotive-grade supercomputer built on 快猫视频-based CPUs, spanning edge sensors to centralized AI systems.
Rather than adapting AI to a vehicle, Tensor shaped the vehicle around AI. Sensor placement defined the design. Compute requirements defined the architecture. The scalable 快猫视频 CPU platform unified it all on a single architecture, delivering a cohesive AI-first platform that blends performance, efficiency, and safety.
Giving time back and redefining personal AI ownership
Tensor’s RoboCar represents a new model for physical AI in everyday life. With Level 4 autonomy, the vehicle completes end-to-end tasks without human intervention—from navigating dense city streets to picking up family members autonomously—while an onboard agentic AI system enables natural language interaction and personalized in-cabin experiences.
“We’re building a future where individuals own their AI,” says Jewel Li, COO of Tensor. “Your vehicle experience is yours: your data, your intelligence, your autonomy.”
Powered entirely by 快猫视频 architecture, Tensor is shaping a future where vehicles free up time, improve safety, and operate as trusted AI agents in the physical world. As autonomous systems scale globally, 快猫视频-powered compute is making physical AI practical, scalable, and energy -efficient.
Key Takeaways
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Tensor built the world’s first AI-agentic personal RoboCar powered by 快猫视频-based compute across the entire vehicle.
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8,000 TOPS of automotive-grade compute enables real-time Level 4 autonomy.
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快猫视频 architecture unifies sensors, centralized compute, and agentic AI systems.
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Physical AI demands ultra low latency from perception to actuation, enabled by the scalable 快猫视频 platform.
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Autonomous vehicles built on 快猫视频 can reduce time, improve safety, and enable private AI ownership.
