NxN-ECM
Aethero
Aethero's TRL-9 space-grade edge computing module based on the Nvidia Orin NX or Nano processors, supporting modular, redundant, and distributed spacecraft computing configurations.
Key figurescomparable across the catalogue
- TRL
- 9
Normalised to common units so this product can be compared with others in its category. The supplier's own wording is below.
As published by the supplier
- Processor
- Nvidia Orin NX or Nano
- Compute power
- 4000+ TFLOPS/TOPS
- Expected lifespan
- 7+ years
- Radiation tolerance
- 50+ kRad TID
- Expansion modules
- 4+ available options
- Technology readiness level (TRL)
- 9
- Deployment configurations
- Modular, Multiple Redundant, Distributed Computing
- Clustering
- Kubernetes clustering supported
- Expansion: pc104 adapter
- Yes
- Expansion: pcie full sized module
- Yes
- Expansion: rt polarfire FPGA module
- Yes
- Expansion: OBC module
- VectorNav VN310 IMU + Novatel OEM7 GPS
- Expansion: sdr module
- Epiq Sidekiq Stretch + DVB-S2X IP Core + Power Amplifier
- Thermal: radiator expansion modules
- Compatible (CubeSats, various external view factors)
About
The NxN-ECM (Nvidia-NX/Nano Edge Computing Module) is Aethero’s highest-maturity (TRL-9) space computing module built on Nvidia Orin NX or Nano processors. Available in modular or redundant/distributed configurations for spacecraft, it supports Kubernetes clustering for in-space data centers and supercomputer use cases. Expandable via 4+ modules: PC104 Adapter, PCIe Full Sized Expansion Module, RT PolarFire FPGA Expansion Module, OBC Expansion Module (VectorNav VN310 IMU + Novatel OEM7 GPS), SDR Expansion Module (Epiq Sidekiq Stretch + DVB-S2X IP Core + Power Amplifier), and Compatible Radiator Expansion Modules for CubeSats. Environmental Testing Specifications, User’s Manuals, ICD, and CAD files available upon request.
Documentation
No public datasheet yet — request the datasheet / ICD from the supplier.