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Published in:
2021 | OriginalPaper | Chapter
AI and Big Data Management for Autonomous Driving
Author : Frank Kraemer
Published in: 21. Internationales Stuttgarter Symposium
Publisher: Springer Fachmedien Wiesbaden
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Abstract.
Developing and testing autonomous driving (AD) systems requires the analysis and storage of more data than ever before. Clients who can deliver insights faster while managing rapid infrastructure growth will be the industry leaders. To deliver these insights faster, the underlying IT technology must support both new big data as well as traditional applications with security, reliability, and high-performance. To handle massive, unstructured data growth, the solution must scale seamlessly while matching data value to the capabilities and costs of different storage tiers and types. This whitepaper covers IBM solutions for AI workloads with a focus on IBM Storage for AI with NVIDIA DGX support.