CAVU Aerospace UK

OBC, Onboard Computer, Typhoon Edge, Satellite OBC, Satellite Onboard Computer, Edge Computer, AI

Typhoon Edge

PolarFire SoC FPGA paired with NVIDIA Jetson AGX Orin 64GB

OBC, Onboard Computer, Typhoon Edge, Satellite OBC, Satellite Onboard Computer, Edge Computer, AI

Typhoon Edge

PolarFire SoC FPGA paired with NVIDIA Jetson AGX Orin 64GB

PIONEERING SPACECRAFT COMPUTING

The Typhoon Edge is a cutting-edge onboard super computer powered by Artificial Intelligence specifically designed for space. Leveraging the powerful and reliable Microchip PolarFire SoC FPGA technology & NVIDIA Jetson AGX Orin, this OBC provides exceptional performance and versatility for space applications. Whether your mission involves high onboard processing, autonomous rendezvous operations, scientific research, AI assisted Earth observation, or commercial satellite deployment, the Typhoon Edge ensures optimal GPU performance and reliability in the harsh conditions of space.

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KEY FEATURES

  • Microchip PolarFire SoC FPGA — two variants: MPFS250T (254k LE) & MPFS460T (461k LE)
  • Full 75 W Jetson AGX Orin Industrial operating mode with 248 TOPS, 64 GB ECC LPDDR5 and 204.8 GB/s memory bandwidth.
  • PolarFire SoC MPFS460T authority for power, reset, watchdog, payload custody, telemetry, FDIR and deterministic FPGA preprocessing.
  • Independent direct PCIe x8 and PCIe x4 customer ports, each operating up to PCIe 4.0 lane rate.
  • Two four-lane Jetson CSI-2 inputs and one PolarFire camera CSI-2 / auxiliary-LVDS input.
  • Copper Camera Link HS plus Camera Link Base/Medium/Full acquisition.
  • External 10GbE copper, native PolarFire 1GbE and dual SpaceWire.
  • Dedicated 1 TB system NVMe and a 1.92 TB baseline client-removable U.2 mission SSD.
  • 12 V to 18 V DC input, 150 W maximum, with protected power entry.
  • Conduction cooling through heat pipes to the spacecraft cold plate; operation in vacuum without fans.
  • Signed A/B software releases, supervised updates and automatic rollback.

COMPUTE & MEMORY

Jetson AGX Orin:

  • AI performance: 248 TOPS; 2,048-core NVIDIA Ampere GPU with 64 Tensor Cores; 2 × NVDLA v2 and PVA v2
  • CPU: 12-core Arm Cortex-A78AE v8.2 64-bit CPU
  • Working memory: 64 GB 256-bit LPDDR5 with inline ECC; 204.8 GB/s
  • Module storage: 64 GB eMMC 5.1
  • Module power envelope: 15 W to 75 W; Typhoon Edge supports the full 75 W operating mode

 

PolarFire SoC MPFS460T:

  • Processor subsystem: 4 × 64-bit U54 application cores plus 1 × E51 monitor core; >4,000 DMIPS combined
  • FPGA fabric: 461k logic elements; 1,420 math blocks; flash-based, live at power-up and no configuration-memory scrubbing required
  • High-speed fabric: 20 SerDes transceivers up to 12.7 Gb/s; two PCIe endpoint/root-port blocks
  • On-chip fabric memory: 3,564 kbit µSRAM and 32,256 kbit LSRAM
  • Fabric memory: 8 GB user-visible DDR4 with SECDED ECC; 9 GB physical, 72-bit interface
  • MSS memory: 4 GB LPDDR4, 32-bit interface

SPECIFICATIONS

  • Compute: Jetson AGX Orin Industrial; 248 TOPS; CUDA and TensorRT application support
  • Trusted control: PolarFire SoC MPFS460T; deterministic FPGA processing and independent supervision
  • External PCIe: Direct x8 and independent direct x4 root-port interfaces
  • Camera: 2 × four-lane CSI-2 to Jetson; 1 × CSI-2 /
  • Auxiliary LVDS to PolarFire; Camera Link HS; Camera Link Base/Medium/Full
  • Network: 1 × external 10GbE copper; 1 × PolarFire native 1000BASE-T
  • SpaceWire: 2 independent links
  • Storage: 64 GB Jetson eMMC; 1 TB system NVMe; 1.92 TB removable U.2 mission NVMe;
  • Redundant PolarFire non-volatile stores
  • Service: Rugged Jetson update/recovery USB-C; PolarFire JTAG/USB/debug UART

STORAGE

  • Jetson module eMMC: 64 GB eMMC 5.1, Recovery image, boot support and controlled module-resident content
  • System NVMe: 1 TB onboard NVMe; dedicated PCIe C1 x1, Jetson operating system, applications and A/B software staging
  • Mission U.2 NVMe: 1.92 TB baseline; 2.5-inch, 15 mm, SFF-8639, PCIe x4 NVMe, 25 W class, Mission payload, raw-data journal and logs; client-removable through retained screwed lid
  • PolarFire pSLC eMMC: 2 × approximately 80 GB user-visible, Independent Linux/application stores and redundant payload banks
  • PolarFire QSPI NOR: 2 × 512 Mbit, Primary and redundant trusted boot payloads
  • PolarFire MRAM: 4 Mbit, Boot pointer, monotonic counters, FDIR event log and rescue-state data

BUDGET

  • Power: 12 V DC nominal; 12 V to 36 V DC continuous; 150 W maximum; PolarFire subsystem 5.5 W to 10 W
  • Heat dissipation: 35 W to 125 W estimated operating range; 150 W worst-case cold-plate design load
  • Cooling: Conduction through internal spreaders and heat pipes; 150 W cold-plate heat rejection
  • Dimensions: 220 mm × 130 mm × 46 mm
  • Mass: 1.8 kg baseline; 2.0 kg max with mission U.2 SSD and protective caps
  • Environment: -40 °C to +85 °C operation; -55 °C to +125 °C storage

SOFTWARE SUPPORT

PRODUCT DOCUMENTS

  • Failure Modes, Effects, and Criticality Analysis (FMECA)
  • Reliability Analysis Report
  • Radiation Analysis Report
  • Safety Assurance Plan
  • Fault Tree Analysis (FTA)
  • Single Point Failure Analysis (SPFA)
  • Worst Case Analysis (WCA)
  • Derating Analysis Report
  • Availability Analysis Report
  • Mechanical Analysis Report
  • Maintainability Analysis Report
  • Fault Detection, Isolation, and Recovery (FDIR)
  • Qualification Test Plan (QTP)
  • Environmental Test Reports, TVAC, Vib.
  • EMC/EMI Test Report
  • Radiation Test Report
  • Operational Risk Assessment (ORA)
  • Critical Items List (CIL)
  • Materials, Processes, and Mechanical Parts List (MPMPL)
  • Product Assurance Plan (PAP)
  • Configuration Item Data List (CIDL)
  • End Item Data Package (EIDP)
  • As-Built Configuration List (ABCL)

POLARFIRE PAIRED WITH JETSON

Typhoon Edge brings together two powerful and complementary processing technologies:

  • Microchip PolarFire FPGA for deterministic processing, sensor interfacing, data handling and programmable acceleration.
  • NVIDIA Jetson AGX Orin for advanced GPU computing and AI inference.
  • Together, they provide the foundation for a highly capable space-based edge intelligence platform.

https://www.microchip.com/en-us/about/media-center/blog/2026/why-gpu-alone-is-not-a-space-edge-ai-computer

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