Verteilte Fahrzeug-Computing-Fabric & Edge-Föderationen
MobilityCompute bündelt ungenutzte Supercomputing-Kapazitäten von Fahrzeugen zu einem Edge-Grid. Durch Poolen von NPUs und GPUs parkender und fahrender Autos werden kollektive Wahrnehmungsmodelle ohne Rechenzentren ausgeführt.
Compute Fabric Hub Zonal Architecture
Central Controller: Compute Fabric Hub — P2P Distributed Tensor Core
Zonal Control Units & TSN Ring
- Decentralized Task Scheduler & Dispatcher
- Collaborative 3D Perception Fuser
- Secure Hardware Enclave Isolation
- Zonal High-Bandwidth Wi-Fi 7 / 5G Link
- Cryptographic Proof-of-Compute Ledger
Die enormen ungenutzten Rechenkapazitäten in städtischen Parkhäusern nutzen
Moderne E-Fahrzeuge besitzen bis zu 1.000 TOPS Rechenleistung, nutzen beim Parken aber unter 5%. MobilityCompute schafft einen dezentralen Rechenmarktplatz: Ladende Fahrzeuge berechnen Videorenderings und Verkehrsmodelle.
Core Engineering Areas
- P2P Collaborative Perception — Exchanging intermediate neural feature maps over high-bandwidth direct sidelinks, allowing a lead vehicle to see obstacles occluded behind a following bus.
- Parked Fleet Edge Grid — Harvesting idle NPU cycles while vehicles charge overnight to process petabytes of raw road video collected during daytime operations.
- Proof-of-Compute Accounting — Vehicles submit mathematical zero-knowledge proofs proving that neural network inferences were executed faithfully without forging computation steps.
Technical Articles
Related Cluster Architecture Specifications
- AutomotiveSDV — Full SDV Stack & Reference Architecture
- A2HCard — Agent-to-Human (A2H) Interface Cards & In-Cabin Autonomous Interaction Manifests
- A2HumanCard — Standardized In-Vehicle AI Agent Capability Discovery, Trust & Authorization Cards
- AIDrivenSynBio — AI-Driven Synthetic Biology for Automotive In-Cabin Air Purification, Bio-Engineered Pathogen Scavengers & Molecular Biosensors