Intelligent Allocation
AI-driven storage assignment for hot and cold data. Automating the lifecycle of massive automotive datasets to ensure peak performance for active simulations while optimizing TCO.
AI-Powered Data Classification
Not all data is created equal. Our AI-Clusters analyze access patterns to predict which datasets are "hot" for upcoming crash simulations or CFD tasks. These are automatically moved to ultra-fast NVMe Storage tiers to prevent any latency in the HPC clusters workflow.
- Heat-map based data movement
- Dynamic I/O load balancing
- Real-time priority adjustments
Automated Lifecycle Tiering
Archiving is often an afterthought, leading to spiraling costs. We utilize Lustre/GPFS with integrated policy engines to seamlessly migrate "cold" R&D logs to cost-effective archives. Our Managed Services ensure data remains searchable and retrievable without manual intervention.
- Policy-driven hot-to-cold migration
- Global R&D sync for tiered assets
- GPU-accelerated metadata indexing
Allocation Logic Pipeline
The technical loop of classifying, moving, and optimizing data across the automotive storage fabric.
| Phase | Action | Outcome |
|---|---|---|
| Monitoring | Continuous tracking of data access via AI-Clusters telemetry. | Data activity profile. |
| Classification | Identifying "Hot" R&D sets versus "Cold" legacy logs using HPC logic. | Optimized placement strategy. |
| Execution | Automated transparent migration between NVMe and Lustre/GPFS. | Zero-latency access for active tasks. |
| Optimization | Periodic re-validation of storage tiers to minimize Total Cost of Ownership (TCO). | Cost-efficient R&D infrastructure. |
Maximize Your Storage Intelligence
Managed Services specializing in AI-driven tiering, high-performance NVMe Storage, and Lustre/GPFS optimization.
Back to Hub