Here's how the two Ecotron ADUs compare on those three interfaces — the EATHA20 scales up on all of them:
Ecotron EATHA06 vs. EATHA20
| Attribute | EATHA06 | EATHA20 |
|---|---|---|
| CAN ports | 10 CAN FD channels | 12 CAN FD channels |
| GMSL camera inputs | 8 GMSL/GMSL2 | 16 GMSL/GMSL2 |
| Fastest Ethernet | 1 GbE (6 automotive Ethernet ports + 1 standard Gigabit Ethernet) | 10 GbE (1x 10G SFP optical port; plus 8 automotive Ethernet and 4 standard Gigabit Ethernet ports) |
ecotron.ai +1ecotron.ai ↗“10 CAN FD channels, 8 GMSL/GMSL2 camera inputs, 6 automotive Ethernet ports plus 1 standard Gigabit Ethernet port”ecotron.ai ↗“12 CAN FD channels, up to 16 GMSL/GMSL2 cameras, 10G SFP optical port”
Key differences:
- CAN FD: The EATHA20 provides 12 CAN FD channels versus 10 on the EATHA06. - GMSL cameras: The EATHA20 supports up to 16 GMSL/GMSL2 camera inputs — double the EATHA06's 8. ecotron.ai +1ecotron.ai ↗“io.gmsl_camera_inputs=8”ecotron.ai ↗“io.gmsl_camera_inputs=16” ecotron.ai +1ecotron.ai ↗“io.can_port_count=10”ecotron.ai ↗“io.can_port_count=12”
- Fastest Ethernet: The EATHA06 tops out at 1 GbE, while the EATHA20 adds a 10G SFP optical port alongside its automotive and Gigabit Ethernet ports, bringing its maximum Ethernet speed to 10 GbE. ecotron.ai +1ecotron.ai ↗“io.max_ethernet_speed=1GbE”ecotron.ai ↗“io.max_ethernet_speed=10GbE”
Both are Jetson Thor-based Autonomous Domain Control Units aimed at Level 3–Level 5 autonomous applications. ecotron.ai +1ecotron.ai ↗“automotive Autonomous Domain Control Unit (ADCU) built on NVIDIA Jetson Thor”ecotron.ai ↗“automotive Autonomous Domain Control Unit built on NVIDIA Jetson Thor”