Case Study
Leveraging RoCE for Cost-Effective GPU Cloud Services
A leading cloud-based GPU service provider operating in a fiercely competitive market needed to deliver top-tier Remote Direct Memory Access over Converged Ethernet performance for demanding artificial intelligence and machine learning workloads without incurring the high costs of proprietary vendor lock-in. To overcome these restrictive hardware constraints and achieve economic viability, the provider deployed advanced Aviz software. This powerful solution transformed their network infrastructure by streamlining RoCE operations, enabling open multi-vendor integration, and eliminating data bottlenecks. By leveraging Aviz tools, the company successfully launched its first high-performance GPU cluster within just three months, securing operational agility and cost-efficient scalability.
