Milvus on GPUs with NVIDIA RAPIDS cuVS

NVIDIA's latest advancements in GPU-accelerated vector search through their cuVS library and CAGRA algorithm significantly improve the performance of AI applications, particularly in cases involving high recall values, high vector dimensionality, and a large number of vectors. The integration of cuVS into Milvus, a popular open-source vector database, allows for efficient scaling and improved cost-performance ratio compared to CPU-based solutions. While GPU operational costs are higher than CPUs, the performance benefits often outweigh the expenses in large-scale applications.

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