Why Data Infrastructure is the Hidden Engine of Automotive AI
AI doesn’t wait. From edge-based perception to full-fidelity simulation, DDN eliminates data friction across the full lifecycle:
Sub-millisecond latency + 95%+ throughput
Real-time ingest of LiDAR, radar, and camera data
Zero-copy reuse across simulation, training, and analytics
Robust metadata governance and security frameworks
Optimized for NVIDIA Omniverse, Isaac, and NeMo
Where AI Meets the Road
The Future of Automotive Runs on Intelligent Data Streams
Smarter vehicles. Safer roads. Faster innovation. In automotive, every decision counts—data isn’t just input, it’s the engine. DDN unifies real-time streams from sensors, simulations, and road tests to accelerate model training, improve predictive accuracy, and turn raw data into market-shaping outcomes.
Autonomous Driving
Smarter Decisions Start with Smarter Data
AV systems depend on real-time, multimodal data from LiDAR and radar to video and telemetry. DDN ingests this data at high velocity, orchestrates it from edge to core, and delivers it to AI models without delay.
Our platform accelerates navigation and mapping pipelines by enabling continuous updates, accurate localization, and efficient route planning. It also ensures full GPU utilization for fast, synchronized AI training, validation, and inference —whether on the road, in the lab, or in the cloud.
Digital Twins
Powering Digital Twins in Omniverse for Automotive AI
DDN delivers the high-performance backbone for real-time digital twins in automotive design, simulation, and manufacturing. From full-scale factory models in NVIDIA Omniverse to AI-driven predictive maintenance, our platform moves data at sub-millisecond speeds – so teams can simulate, test, and optimize without delay.
Whether you’re validating EV production lines, training autonomous systems, or syncing edge and cloud environments, DDN keeps every twin aligned with the physical world – fast, scalable, and AI-ready.
Built for the NVIDIA Automotive Ecosystem
From AV perception to manufacturing simulation, DDN is optimized for NVIDIA’s end-to-end AI workflows. We power seamless data throughput and orchestration for:
NVIDIA
Omniverse
[ Collaborative design and simulation ]
Isaac
Sim
[ Robotics and AV simulation ]
Base
Command
[ AI factory training at scale ]
NeMo
+ NIM
[ Model building and inferencing ]
DDN maximizes GPU utilization, eliminates I/O bottlenecks, and is the storage layer behind some of the world’s most advanced NVIDIA-powered AI systems.
One of the reasons we went with DDN storage for our Selene AI supercomputer was it could sustain the performance we needed for our [self-driving] applications.
PRETHVI KASHINKUNTI
Senior Systems Engineer / NVIDIA
Relied Upon by the World’s Most Successful Automakers
DDN powers the most ambitious vehicle programs in the world across autonomous driving, EV production, simulation, and next-gen manufacturing. While we can’t name them all, our infrastructure supports AI factories at scale for global OEMs and Tier-1s.
Let’s Meet
Ready to bring safer, smarter vehicles to market faster? Book a meeting with our experts to see how DDN can optimize your AI infrastructure from edge to cloud.