LEO Compute: In-Orbit-Edge-Computing, weltraumgestützte KI-Inferenz & Mikro-Rechenzentren

LEOCompute bietet Engineering-Frameworks für die Bereitstellung strahlungstoleranter Tensorbeschleuniger, containerisierter Serverless-Runtimes und verteilter In-Orbit-Datenreduktions-Pipelines.

LEOCompute System Architecture

Core architectural topology and protocol interaction of leocompute.com

Central System: Orbital TPU - Edge Processing

Network Nodes

  • Space-Grade TPU
  • In-Orbit K8s
  • Data Reduction 99%
  • Debris Avoidance
  • Direct Insight

Architectural Protocol Layers

  • User & Terminal Access Layer (3GPP Rel-17/18 NR-NTN & IoT-NTN): Direct communication from smartphones and IoT sensors to satellites
  • Space-Borne Radio Access (gNodeB / Transponder) (Regenerative Digital Payloads & Bent-Pipe Transparent Processing): In-orbit demodulation, digital beamforming, and spectrum channelization
  • Inter-Satellite Mesh & Space Transport (Optical Inter-Satellite Links (OISL) & 60 GHz V-Band Cross-Links): Autonomous multi-hop laser packet routing in vacuum at the speed of light
  • Ground Teleport & Core Cloud Ingress (High-Throughput Q/V-Band Gateways & Optical Ground Stations): Terabit feeder link downlinks connected directly to cloud hyperscalers

Key Metrics: 100 Gbps+ (Optical Cross-Link Bandwidth) | <25 ms (LEO Propagation Latency) | ±50 kHz (Doppler Shift Compensation) | 99.999% (Constellation Transport SLA)

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Core Engineering Areas

Technical Articles

Related Cluster Architecture Specifications