Both are in the catalog as drone mission computers, and they sit a full Jetson generation apart — here's the comparison on the three attributes you asked about:
| DJI Manifold 2-G (MF2G) | Auterion AI Node | |
|---|---|---|
| Jetson module | NVIDIA Jetson TX2 | NVIDIA Jetson Xavier NX |
| Memory | 8 GB | 8 GB |
| Max power consumption | 25 W | 30 W |
dji.com +1dji.com ↗“built on the NVIDIA Jetson TX2”docs.auterion.com ↗“built on NVIDIA Jetson Xavier NX”
Key takeaways for your upgrade decision:
- Compute generation: The Manifold 2-G is the older platform, built on the Jetson TX2, and is compatible with DJI's M300 RTK, M210 series and A3/N3 flight controllers. The AI Node is built on the newer Jetson Xavier NX and is designed to integrate with Auterion Skynode. dji.com +1dji.com ↗“compatible with DJI M300 RTK, M210 series and A3/N3 flight controllers”docs.auterion.com ↗“designed to integrate with Skynode”
- Memory: Both carry 8 GB, so RAM alone doesn't separate them. dji.com +1dji.com ↗“memory.memory_gb=8 GB”docs.auterion.com ↗“memory.memory_gb=8 GB”
- Power: The AI Node draws up to 30 W vs. 25 W for the Manifold 2-G, and its input range is much wider (11.5–65 V vs. 13.2–27 V), which can matter depending on your payload power rail. dji.com +3dji.com ↗“power.max_power_consumption_w=25 W”docs.auterion.com ↗“power.max_power_consumption_w=30 W”docs.auterion.com ↗“power.power_input=11.5-65 V”dji.com ↗“power.power_input=13.2-27 V”
One related spec worth noting since it often drives upgrade decisions: onboard storage differs substantially — 128 GB on the Manifold 2-G vs. 1024 GB on the AI Node. dji.com +1dji.com ↗“storage.onboard_storage_gb=128 GB”docs.auterion.com ↗“storage.onboard_storage_gb=1024 GB”
If you'd like, I can compare them on interfaces (Ethernet, USB, CAN, MIPI cameras) or thermal limits as well — the Manifold 2-G's listed operating range is -25 °C to 45 °C. dji.comdji.com ↗“thermal.max_operating_temp_c=45 °C, thermal.min_operating_temp_c=-25 °C”