Image of Cambrian Works, Inc. - GigCompute (GC-002003) on the satsearch marketplace

Key highlights

GigCompute (GC-002003) is a high-performance onboard compute module built around the NVIDIA AGX Orin platform, delivering advanced AI/ML acceleration and heterogeneous CPU/GPU processing for space missions. It provides 10-Gbps and 1-Gbps Ethernet data interfaces, Kubernetes (K3S) container orchestration, and an Ubuntu-based optimized BSP for modular, software-defined mission applications. The unit supports high-rate payload processing, real-time autonomy workloads, and edge inference in vacuum environments. Flight units have been delivered to customers and are currently awaiting launch.

Applications

  • Onboard AI/ML inference for autonomy and real-time decision-making
  • High-rate payload and sensor data processing (EO/IR, RF, SDR)
  • Edge compute node for constellation architectures
  • Onboard data fusion, compression, and pre-processing
  • Mission software hosting via containerized applications
  • Compute companion for payloads, avionics, or networking systems

Key features

High-performance compute architecture

  • NVIDIA AGX Orin platform with:
    • 12-core Arm Cortex-A78AE 64-bit CPU
    • 2048-core NVIDIA Ampere GPU with 64 Tensor Cores
  • 64 GB 256-bit LPDDR5 RAM for memory-intensive workloads
  • Ubuntu-based optimized BSP supporting mission-grade software stacks

Containerized mission software

  • Kubernetes (K3S) orchestration for modular application deployment
  • Supports parallel workloads and rapid iteration of autonomy and processing pipelines
  • Enables flexible update, test, and operations workflows across missions

Power-flexible operation

  • Adjustable power modes with typical consumption:
    • 16 W (Idle)
    • 28–55 W under workload
    • 84 W maximum draw
  • Supports missions with dynamic compute throttling and thermal constraints

Flight heritage

Flight units have been delivered to customers and are currently awaiting launch. Additional qualification and environmental test data can be provided upon request, consistent with mission requirements.

Manufacturing

GigCompute is produced in a conduction-cooled machined enclosure with an internal thermal path designed to support sustained CPU/GPU power dissipation in vacuum. The unit integrates space-ready power conditioning, high-density connectors, and EMI/EMC-robust interfaces consistent with high-reliability aerospace manufacturing practices.

Testing & qualification

GigRouter has successfully completed NASA General Environmental Verification Standard (GEVs) testing, including:

Random vibration testing

Thermal vacuum (TVAC) testing demonstrating GPU/CPU operation under high-temperature vacuum conditionsThermal qualification demonstrates that at a base-plate temperature below 60 °C, the CPU remains below 75 °C at nominal 35 W power consumption. Radiation lifetime modeling is included for LEO, MEO, and GEO with optional shielding (as specified in the datasheet).

Export control

GigCompute includes advanced compute acceleration hardware and mission-software capabilities that may fall under U.S. export control regulations (such as EAR). Final classification depends on configuration and end use. Cambrian Works can support classification and licensing guidance as needed.

Distributors

Cambrian Works sells GigCompute directly. 

Customers

GigCompute is designed for commercial, civil, and defense spacecraft operators requiring high-performance onboard compute architectures for autonomy, data processing, and intelligent space-system operations.

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Last updated: 2025-12-30

GigCompute (GC-002003)

list price: $75,000

8TRL

lead time: 6 mo

Image of Cambrian Works, Inc. - GigCompute (GC-002003) on the satsearch marketplace

Downloads

Technical specs

mass
1.9 kg
length
213 mm
width
160 mm
height
61.5 mm
data interface
2x 10 GigE
3x GigE
1x RS-422 + 1x RS-422 (debug)
4x GPIO
input voltage
9 to 14 V
idle power
16 W
peak power
28 W (Max Data)
30 W (Max CPU)
55 W (Max GPU)
84 Watts (Max)
data storage
16 TB SSD (2x 8TB SSD) - TBC
RAM
64 GB 256-bit LPDDR5

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