NVIDIA CAGRA
NVIDIA CAGRA is a GPU-accelerated graph-based library for approximate nearest neighbor searches, optimized for high-performance vector search leveraging modern GPU parallelism. It is suitable for scenarios requiring rapid, large-scale vector retrieval.
About this tool
NVIDIA CAGRA
NVIDIA CAGRA is a GPU-accelerated library designed for approximate nearest neighbor (ANN) searches, specifically optimized for high-performance vector retrieval using modern GPU parallelism.
Features
- GPU acceleration for graph-based approximate nearest neighbor search
- Optimized for high-performance vector search and large-scale data sets
- Leverages modern GPU parallelism for rapid vector retrieval
- Suitable for scenarios requiring fast and scalable vector search
Category
SDKs & Libraries
Tags
- gpu-acceleration
- ann
- high-performance
- vector-search
Pricing
No pricing information is provided in the available content.