Data Vaults
Cloud repositories for petabytes of test fleet sensor data. Providing immutable, high-throughput storage architectures for the massive data ingestion requirements of autonomous R&D.
Dynamic Fleet Offloading
Autonomous test vehicles generate up to 40TB per day, per vehicle. Our Data Vaults utilize NVMe Storage and Lustre/GPFS parallel filesystems to enable non-blocking ingestion of multi-sensor streams (LiDAR, Radar, Camera) directly into the cloud fabric for immediate AI-Clusters processing.
- High-speed landing zones for fleet data
- Parallel I/O for massive LiDAR datasets
- Automated checksum verification for data integrity
Immutable R&D Repositories
R&D integrity is non-negotiable. We implement Managed Services that feature encrypted, WORM-protected (Write Once, Read Many) tiers within the HPC clusters environment, ensuring that mission-critical sensor data remains immutable for multi-decade compliance and accident reconstruction.
- End-to-end AES-256 encryption
- Intelligent data-tiering to cold archives
- Secure IP-Vaulting for sensitive sensor logic
Data Ingestion Logic
The structured flow of sensor data from the test vehicle to the long-term cloud vault.
| Phase | Action | Outcome |
|---|---|---|
| Offloading | High-speed transfer from vehicle SSDs to NVMe Storage edge gateways. | Raw data ingestion. |
| Processing | Standardization and metadata tagging via AI-Clusters within the vault. | Searchable R&D assets. |
| Archiving | Moving validated datasets to immutable Lustre/GPFS long-term tiers. | Regulatory safety compliance. |
| Access | Global retrieval for re-simulation and training across distributed HPC sites. | Continuous model improvement. |
Scale Your Autonomous Data Lake
Expertise in Petabyte-Scale Lustre/GPFS, NVMe Storage, and secure Cloud Managed Services.
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