How elite racing teams manage petabytes of performance data

Modern racing teams generate massive data from telemetry, wind tunnel testing, and race analytics, with hundreds of gigabytes collected per car each weekend. Managing this growth while ensuring security and performance is as vital as engine optimization.

This case study shows how two elite teams address these challenges with enterprise storage solutions, handling petabyte-scale datasets and AI-driven workloads:

· On-premises and hybrid cloud storage for redundancy and performance
· S3-compatible solutions for high-speed data ingestion and security
· Architectures supporting GPU computing and machine learning

Read the case study to see how these teams excel in data-intensive environments.