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Accelerating GPU indexes in Faiss with NVIDIA cuVS

  • Meta and NVIDIA collaborated to accelerate vector search on GPUs by integrating NVIDIA cuVS into Faiss v1.10.
  • NVIDIA cuVS outperforms classic GPU-accelerated search for IVF indexing, reducing build times by up to 4.7x and search latency by up to 8.1x.
  • For graph indexing, CUDA ANN Graph (CAGRA) outperforms CPU HNSW build times by up to 12.3x and reduces search latency by up to 4.7x.
  • Faiss 1.10.0 includes NVIDIA cuVS algorithms, offering users the choice between Faiss classic GPU implementations and newer cuVS algorithms for efficient vector search.

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