HARDWARE / PRODUCT

S-A1760 Venus Space GPGPU

Aitech Systems
S-A1760 Venus Space GPGPU

The S-A1760 Venus is a radiation-characterized small form factor space GPGPU based on the NVIDIA Jetson TX2i with Pascal architecture, offering 256 CUDA cores, 1 TFLOPS, and 8 GB LPDDR4 ECC memory in a sub-1 kg package for NEO and LEO video and signal processing.

Technical specifications

GPU
NVIDIA Jetson TX2i, Pascal Architecture
CUDA Cores
256
CPU
NVIDIA Denver 2 Dual-Core ARM + Cortex A57 Quad-Core ARM
Performance
1 TFLOPS
Energy Efficiency
60 GFLOPS/W
Memory
8 GB LPDDR4 with ECC
Storage
32 GB SSD
I/O
Gigabit Ethernet, UART Serial, USB 2.0, Discretes, CANbus
Form Factor
SFF 129 mm × 129 mm
Weight
< 1 kg
Radiation
Series 300 radiation characterization
Software
CUDA, OpenGL, OpenGL ES, EGL

About

The S-A1760 Venus is Aitech’s smallest and most power-efficient space-rated GPGPU system, designed specifically for short-duration spaceflight, near-Earth orbit, and LEO satellite applications requiring compact high-performance compute. It integrates the NVIDIA Jetson TX2i module featuring Pascal GPU architecture with 256 CUDA cores delivering 1 TFLOPS of compute at 60 GFLOPS per watt efficiency.

The system packs 8 GB of LPDDR4 memory with ECC protection and 32 GB of SSD storage into a 129 mm square footprint weighing under 1 kg. The heterogeneous CPU cluster combines NVIDIA Denver 2 dual-core ARM and Cortex A57 quad-core ARM processors for flexible task distribution. Hardware H.264/H.265 encoding is included for video compression workloads.

Connectivity encompasses Gigabit Ethernet, UART serial, USB 2.0, discrete I/O signals, and CANbus for spacecraft bus integration. The S-A1760 Venus carries Series 300 radiation characterization and is actively used in distributed processing architectures for satellite imaging, autonomous navigation, and signal intelligence applications.

Documentation

No public datasheet yet — request the datasheet / ICD from the supplier.

Source: aitechsystems.com ↗