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Autonomous DrivingRobotics & Automation NewsPublished: Aug 28, 2026, 01:00 JST

Kodiak AI, AMD partner on driverless truck compute

Kodiak AI, AMD partner on driverless truck compute

3 Key Points

  1. What happened

    Kodiak AI, a provider of AI-powered autonomous driving tech, has partnered with chipmaker AMD to use AMD EPYC Series processors in its seventh-generation autonomous truck platform. Kodiak is the first company to deploy these processors in a driverless trucking hardware platform.

  2. Why it matters

    Driverless trucks need high-performance central processing units (CPUs) to quickly aggregate and preprocess sensor data from LiDARs, cameras, and radars, and to support path planning. The AMD EPYC CPUs offer higher clock speeds than the previous generation, enabling faster data processing at lower power consumption.

  3. What to watch

    Kodiak is working toward launching driverless trucks on public highways later this year. Its fleet in the Permian Basin already operates with no humans in the cab today.

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Context & Analysis

This collaboration marks a step toward scaling autonomous trucking. Kodiak's seventh-generation platform is the first to use AMD's high-performance EPYC CPUs in driverless trucking. The partnership underscores the growing compute demands of physical AI, which must handle massive sensor data in real time. By leveraging available commercial hardware, Kodiak can focus on building production-ready trucks and expanding its driverless fleet. The mention of the Permian Basin, where trucks already run without humans, suggests progress toward the company's goal of launching driverless trucks on public highways later this year.

FAQ
What does the AMD EPYC processor do in the Kodiak Driver?
It aggregates sensor data, preprocesses information from LiDARs, cameras, and radars, and supports path-planning processes for safe navigation.
What is the performance benefit of the AMD EPYC CPUs?
They provide significantly higher clock speeds than the previous generation device, enabling faster data processing at lower power consumption.
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