Lead Time:
14 weeks (FM)
Lead Time:
10 weeks (EM)
Processor:
Quad-Cortex-A53 (Gen 1)
Processor:
8-core Arm Cortex-A78AE (Gen 2)
GPU:
2D/3D Vivante GC7000 Lite GPU and VPU (Gen1)
GPU:
1024-core NVIDIA Ampere (Gen 2)
RAM:
4 GB LPDDR4 SDRAM (Gen 1)
RAM:
16 GB 128-bit LPDDR5 (Gen 2)
Mass:
1.4 kg (Gen 1)
Mass:
1.5 kg (Gen 2)
Size:
96 x 96 x 50 mm^3 (Gen 1)
Size:
113 x 100 x 70 mm^3 (Gen 2)
Supply Voltage:
5V
Idle Power Consumption:
3 W (Gen 1)
Idle Power Consumption:
9.3 W (Gen 2)
Typical Power Consumption:
7.5 W (Gen 1)
Typical Power Consumption:
20 W (Gen 2)
Peak Power Consumption:
22 W (Gen 1)
Peak Power Consumption:
30 W (Gen 2)
Operating Temperature Range:
-25C to 85C
Storage Temperature Range:
-40C to 85C
Operating System:
Linux Based
Software:
Basic software package included

FeatherEdge, a compact Data Processing Unit tailored for AI applications in orbit, redefines space efficiency. Its 0.5U size and low power design ensure seamless compatibility with diverse satellite platforms. By processing onboard sensor data directly and transmitting only crucial information, FeatherEdge slashes downlink costs and significantly bolsters response times for critical events in orbit. 

At its core, FeatherEdge integrates a robust AI computing module with Sidus Space’s radiation tolerant motherboard, operating as a fully integrated Linux system. Capable of trillions of operations per second and boasting precision thermal management within its enclosure, it minimizes reliance on external thermal controls. This device combines cutting-edge computing prowess with space-grade reliability, delivering a complete AI payload for unparalleled on-orbit high-performance edge computing capabilities.

Specification FeatherBox GEN 1 FeatherBox GEN 2
CPU Quad-Cortex-A53 8-core Arm Cortex-A78AE
GPU 2D/3D Vivante GC7000 Lite GPU and VPU 1024-core NVIDIA Ampere
AI Performance Coprocessor: 4 TOPS Coprocessor: 100 TOPS
Microcontroller PIC12 8-bit Rad-tolerant ARM Cortex M7 32-bit
RAM 4 GB LPDDR4 SDRAM 16 GB 128-bit LPDDR5
Storage 40 GB SLCNAND Flash(ECC); 16 GB eMMC 680 GB pSLC NVMe SSD (ECC)
Operating System Linux Based Linux Based
AI/ML Model Type TensorFlow Lite TensorRT
Connectors Micro-D Nano-D, M12, Micro-B, USB
Ethernet 1x GbE 3x GbE
USB 1x USB 3.1 Gen 1 (5 Gbps) 4x USB 3.2 Gen 1 (5 Gbps), 2x USB 2.0
UART 2x RS-422 2x TTL, 2x RS-232, 1x RS-485
Other I/O 2x SPI, 2x I2C, 8x GPIO 2x SPI, 2x I2C, 1x CAN, GPIOs
Power Consumption 3W idle, 7.5W typical, 22 W peak (tens of microseconds) 9.3 W idle, 20 W typical, 30 W peak

FeatherEdge

Sidus Space

FeatherEdge, a compact Data Processing Unit tailored for AI applications in orbit, redefines space efficiency. Its 0.5U size and low power design ensure seamless compatibility with diverse satellite platforms. By processing onboard sensor data directly and transmitting only crucial information, FeatherEdge slashes downlink costs and significantly bolsters response times for critical events in orbit. 

At its core, FeatherEdge integrates a robust AI computing module with Sidus Space’s radiation tolerant motherboard, operating as a fully integrated Linux system. Capable of trillions of operations per second and boasting precision thermal management within its enclosure, it minimizes reliance on external thermal controls. This device combines cutting-edge computing prowess with space-grade reliability, delivering a complete AI payload for unparalleled on-orbit high-performance edge computing capabilities.

Specification FeatherBox GEN 1 FeatherBox GEN 2
CPU Quad-Cortex-A53 8-core Arm Cortex-A78AE
GPU 2D/3D Vivante GC7000 Lite GPU and VPU 1024-core NVIDIA Ampere
AI Performance Coprocessor: 4 TOPS Coprocessor: 100 TOPS
Microcontroller PIC12 8-bit Rad-tolerant ARM Cortex M7 32-bit
RAM 4 GB LPDDR4 SDRAM 16 GB 128-bit LPDDR5
Storage 40 GB SLCNAND Flash(ECC); 16 GB eMMC 680 GB pSLC NVMe SSD (ECC)
Operating System Linux Based Linux Based
AI/ML Model Type TensorFlow Lite TensorRT
Connectors Micro-D Nano-D, M12, Micro-B, USB
Ethernet 1x GbE 3x GbE
USB 1x USB 3.1 Gen 1 (5 Gbps) 4x USB 3.2 Gen 1 (5 Gbps), 2x USB 2.0
UART 2x RS-422 2x TTL, 2x RS-232, 1x RS-485
Other I/O 2x SPI, 2x I2C, 8x GPIO 2x SPI, 2x I2C, 1x CAN, GPIOs
Power Consumption 3W idle, 7.5W typical, 22 W peak (tens of microseconds) 9.3 W idle, 20 W typical, 30 W peak
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Lead Time:
14 weeks (FM)
Lead Time:
10 weeks (EM)
Processor:
Quad-Cortex-A53 (Gen 1)
Processor:
8-core Arm Cortex-A78AE (Gen 2)
GPU:
2D/3D Vivante GC7000 Lite GPU and VPU (Gen1)
GPU:
1024-core NVIDIA Ampere (Gen 2)
RAM:
4 GB LPDDR4 SDRAM (Gen 1)
RAM:
16 GB 128-bit LPDDR5 (Gen 2)
Mass:
1.4 kg (Gen 1)
Mass:
1.5 kg (Gen 2)
Size:
96 x 96 x 50 mm^3 (Gen 1)
Size:
113 x 100 x 70 mm^3 (Gen 2)
Supply Voltage:
5V
Idle Power Consumption:
3 W (Gen 1)
Idle Power Consumption:
9.3 W (Gen 2)
Typical Power Consumption:
7.5 W (Gen 1)
Typical Power Consumption:
20 W (Gen 2)
Peak Power Consumption:
22 W (Gen 1)
Peak Power Consumption:
30 W (Gen 2)
Operating Temperature Range:
-25C to 85C
Storage Temperature Range:
-40C to 85C
Operating System:
Linux Based
Software:
Basic software package included

FeatherEdge, a compact Data Processing Unit tailored for AI applications in orbit, redefines space efficiency. Its 0.5U size and low power design ensure seamless compatibility with diverse satellite platforms. By processing onboard sensor data directly and transmitting only crucial information, FeatherEdge slashes downlink costs and significantly bolsters response times for critical events in orbit. 

At its core, FeatherEdge integrates a robust AI computing module with Sidus Space’s radiation tolerant motherboard, operating as a fully integrated Linux system. Capable of trillions of operations per second and boasting precision thermal management within its enclosure, it minimizes reliance on external thermal controls. This device combines cutting-edge computing prowess with space-grade reliability, delivering a complete AI payload for unparalleled on-orbit high-performance edge computing capabilities.

Specification FeatherBox GEN 1 FeatherBox GEN 2
CPU Quad-Cortex-A53 8-core Arm Cortex-A78AE
GPU 2D/3D Vivante GC7000 Lite GPU and VPU 1024-core NVIDIA Ampere
AI Performance Coprocessor: 4 TOPS Coprocessor: 100 TOPS
Microcontroller PIC12 8-bit Rad-tolerant ARM Cortex M7 32-bit
RAM 4 GB LPDDR4 SDRAM 16 GB 128-bit LPDDR5
Storage 40 GB SLCNAND Flash(ECC); 16 GB eMMC 680 GB pSLC NVMe SSD (ECC)
Operating System Linux Based Linux Based
AI/ML Model Type TensorFlow Lite TensorRT
Connectors Micro-D Nano-D, M12, Micro-B, USB
Ethernet 1x GbE 3x GbE
USB 1x USB 3.1 Gen 1 (5 Gbps) 4x USB 3.2 Gen 1 (5 Gbps), 2x USB 2.0
UART 2x RS-422 2x TTL, 2x RS-232, 1x RS-485
Other I/O 2x SPI, 2x I2C, 8x GPIO 2x SPI, 2x I2C, 1x CAN, GPIOs
Power Consumption 3W idle, 7.5W typical, 22 W peak (tens of microseconds) 9.3 W idle, 20 W typical, 30 W peak