Real-Time AV Perception, Predictive Maintenance, and Compliance with AI Infrastructure
Autonomous and software-defined vehicles generate massive volumes of data, LiDAR, radar, camera, and simulation inputs, all critical to perception, safety, and AI model training. Yet OEMs and Tier-1 suppliers with 10PB+ of AV data often face key roadblocks: underutilized GPUs, data silos, and slow compliance workflows.
DDN’s AI Data Intelligence Platform, is purpose-built for the automotive industry. It powers real-time AV perception, fast model iteration, and scalable data governance across the entire vehicle lifecycle. Trusted by NVIDIA, and automotive leaders, DDN provides the performance, flexibility, and compliance needed to launch next-gen mobility solutions.
Common Data Challenges in Automotive AI Workflows
| CHALLENGE | IMPACT ON AV OPERATIONS |
| Simulation + drive-log data exceeds 10PB | NAS and legacy storage solutions collapse under scale |
| <60% GPU utilization across 500+ GPUs | Slower model training and delayed feature deployment |
| Siloed telematics, logs, and test data | Hinders predictive maintenance and real-time analytics |
How DDN’s AI Storage Solutions Transforms Autonomous Vehicle Development
DDN’s AI Data Intelligence Platform transforms autonomous vehicle development by solving the three fundamental challenges facing the automotive industry:
Handle Massive AV Data Volumes with Ease
Problem: Autonomous and software-defined vehicles generate tens of petabytes of data – LiDAR, radar, video, GPS, and simulation inputs – daily. Traditional NAS and legacy infrastructure collapse under this scale.
Solution: DDN delivers scalable ingest with multi-terabyte-per-second throughput and sub-millisecond latency, ensuring no sensor data is dropped and ingest pipelines stay real-time. Infinia’s zero-copy architecture eliminates the need for constant replication, drastically reducing storage bloat and complexity.
Outcome: AV teams can ingest, store, and access 10PB+ of high-value data without bottlenecks—enabling continuous development across global test fleets.
Accelerate AI Model Training with Metadata-Driven Intelligence
Problem: Only 10–20% of AV data is relevant for training, but legacy systems lack the speed or intelligence to filter and surface it efficiently.
Solution: Infinia’s metadata engine is up to 100x faster than AWS S3 and enables teams to run complex queries like “urban night scenes with pedestrian occlusion in fog” in seconds. This powers advanced filtering, active learning pipelines, and just-in-time data selection.
Outcome: With DDN, teams can dramatically reduce data preparation and model iteration times—transforming multi-hour bottlenecks into minutes. This accelerates retraining cycles, reduces labeling overhead, and improves time-to-insight across the AI pipeline.
Support Real-Time Decision-Making at the Edge
Problem: Real-time perception and decision-making in AVs require synchronized edge-to-core pipelines and ultra-low-latency data access. Without this, inference engines are delayed, and safety is compromised.
Solution: DDN supports metadata-triggered edge-to-core orchestration, allowing only relevant deltas to be synchronized—dramatically reducing bandwidth needs and ensuring the freshest data is always available. With direct integration into NVIDIA NeMo, NIM, and Isaac Sim, models can be retrained and deployed rapidly across fleets.
Outcome: AV teams can go from real-time ingest to real-time inference and retraining without delay—boosting safety, responsiveness, and operational efficiency.
Why Automotive Leaders Trust DDN’s AI Infrastructure Solutions
Built for Safety-Critical Environments
DDN enables real-time perception, rapid model iteration, and seamless traceability—supporting the rigorous safety validation processes required in AV development.
Compliance-Ready from Day One
Infinia delivers immutable WORM storage, full audit trails, secure multi-tenant access, and policy-based data governance to meet global regulatory standards.
Certified NVIDIA Storage Partner
DDN is NVIDIA’s preferred storage platform for automotive AI, powering platforms like Omniverse, Isaac Sim, Base Command, and NeMo/NIM with the throughput and scale needed for simulation, training, and inference.
Trusted by the World’s Leading Automakers
6 of the world’s top 10 automotive OEMs, along with dozens of Tier 1s, AV innovators, and EV disruptors, rely on DDN to deliver the infrastructure foundation for their most mission-critical AI workflows.
Drive the Future with Unified AI Data Intelligence for Automotive
DDN’s Platform is the foundation for high-performance AV workflows, from simulation and AI model training to in-vehicle inference and predictive maintenance. Whether you’re managing 10PB of simulation data or orchestrating AI factories across edge and cloud, DDN unifies your entire AI pipeline with unmatched performance, flexibility, and compliance.
Ready to power your autonomous vehicle strategy with real-time AI infrastructure?
Let’s talk about AI Data Intelligence for Automotive.
