High-Performance KV Cache Platform for AI Inference

This technical report presents a validated reference architecture for a high-performance key-value (KV) cache platform designed to enhance large-scale AI inference. The architecture is developed collaboratively by IBM, NVIDIA, and Supermicro, addressing the critical challenge of GPU memory limitations as enterprises scale generative AI applications. The report outlines how the architecture enables persistent storage and sharing of KV cache data, which is essential for maintaining performance during multi-turn interactions and other complex AI tasks. It details the integration of NVIDIA Dynamo for distributed KV cache management, IBM Storage Scale for high-performance shared storage, and Supermicro Petascale servers to create a robust infrastructure. Key findings indicate significant improvements in response times and throughput, demonstrating the architecture's capability to support high concurrency and reduce the total cost of inference. The report also discusses the implications of this architecture for future AI deployments, emphasizing the need for efficient resource utilization in AI inference environments.