White Paper

Accelerating AI and Data Movement at the Edge

Accelerating AI and Data Movement at the Edge

Pages 7 Pages

Edge computing brings processing closer to data sources, reducing latency and enabling real-time AI. However, it creates challenges like bandwidth strain, security risks, and data silos. Riverbed’s SteelHead RS addresses these by accelerating data transfers up to 100x, caching data locally, and synchronizing with central systems even during outages. It ensures secure, scalable edge operations with visibility and disaster recovery readiness. By combining edge and centralized processing, SteelHead RS improves performance, agility, and business continuity, supporting AI workloads and modern applications across distributed environments.

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