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CUVS ACCELERATED VECTOR SEARCH AND CLUSTERING

IMPROVED PERFORMANCE

cuVS is a powerful tool that enables efficient index building and searching of large vector spaces. With its higher throughput and lower latency, it significantly reduces inference time and cost compared to traditional CPU-based solutions. Experience faster and more cost-effective indexing and searching with cuVS

FLEXIBLE INTEGRATION
cuVS is a versatile library that supports multiple programming languages such as C, C++, Python, and Rust. It is designed to seamlessly integrate into vectorized data applications, making it easier for developers to work with. Moreover, cuVS allows for interoperability between CPU and GPU, enabling index building on a GPU and searching on a CPU

ADVANCED ALGORITHMS
cuVS is equipped with cutting-edge algorithms that enable efficient approximate nearest neighbor search. These algorithms are optimized for the latest compute architectures, ensuring top-notch performance

SCALABILITY
cuVS is a powerful tool that allows databases to scale up and out, making it possible to process massive-scale vector search and clustering workloads with GPU acceleration. With its advanced capabilities, CuVS is an excellent choice for businesses looking to optimize their database performance and improve their overall efficiency