Domain: Autonomous_Driving_Infrastructure
ADAS Data
ADAS Data
Orchestration
End-to-end pipeline management for automated driving systems. From In-Car logging to Exascale AI Training.
[ SENSOR_FUSION ]
[ HIL_TESTING ]
[ PETABYTE_INGEST ]
Lifecycle Logic
Phase
Operational Focus
Technical Outcome
01_INGEST
Data logging from test fleets and encrypted transmission.
RAW_DATA_LAKE
02_PROCESS
Selection, labeling, and HIL (Hardware-in-the-Loop) validation.
VALIDATED_DATASETS
03_TRAIN
Distributed AI training on high-performance GPU clusters.
NEURAL_MODEL_V2
Fleet Loggers
High-bandwidth SSD storage modules for synchronized sensor data capturing.
Ingest Stations
100GbE automated upload stations for rapid data transfer into the backend.
Parallel Storage
Lustre-based tiers capable of feeding thousands of GPUs simultaneously.
HIL Clusters
Re-simulation environments for massive sensor-data replay and verification.