CES 2026: Highlights from Booth #3967
CES may be over, but the momentum from the week continues.
To everyone who stopped by our booth in Las Vegas, thank you for the thoughtful conversations and questions around real-world EV and autonomous system applications. And whether you joined us in Las Vegas or followed along from afar, here’s a snapshot of what we showcased:
What We Showcased at CES 2026
| 🚗 Autonomous Driving in Focus 👉 Autonomous Driving Control Unit – EATHA06 (NVIDIA THOR) Our newst controller, the EATHA06 is powered by NVIDIA THOR and an ASIL-D safety MCU, delivering scalable compute and functional safety for Level 3–Level 5 autonomous driving. |
| ⚡ EV Fast Charging, Streamlined 👉 EVCC Fast Charging Controller – EC52377B01 Our new lite EVCC powered by Infineon TC377 and Qualcomm QCA7005 PLC supports efficient, standards-aligned charging for next-generation EV platforms. |
| 🧠 Centralized Vehicle Control 👉 Central Computing Unit (CCU) – EC2232G2B01 Built on the NXP S32G2, the CCU enables centralized powertrain and vehicle control within zonal architectures. With Automotive Ethernet, CAN/CAN FD, LIN, and an IP67-rated enclosure, it’s designed for demanding automotive environments. |
| 🔌 Zonal Intelligence at the Edge 👉 Zonal Control Unit (ZCU) – EV82397A Designed for precise actuation in rugged conditions, the ZCU combines Infineon TC397 compute, high-current H-Bridge outputs, integrated sensing, and IP67 protection, making it well-suited for off-road and industrial applications. |
Live Demos with Our Partners
🤝 Toyota Tsusho Nexty Electronics America, Inc.
We were proud to exhibit alongside Toyota Nexty America, Inc., who demonstrated our ADCU Single Orin Platform – EAORA04 and ADCU Orin Nano / NX – EAORA10 in action.
Their demos showcased real-time perception and highlighted how our controllers integrate with sensors and cameras within a complete autonomous system.
Model-Based Design
🤝 MathWorks
EcoCoder, our auto -code generation toolbox built on MATLAB® Simulink®, enables one-click code generation, compiling, and executable creation, directly targeting Ecotron controllers.
We also highlighted EcoCoder-AI, extending model-based design into Linux- and ROS-based autonomous workflows.
👉 Learn more about our EcoCoder here and our EcoCoder-AI here.
