FICHA · AUR

faiss-gpu

A library for efficient similarity search and clustering of dense vectors (cuda or rocm accelarated).

  • development-library
  • LIBRARY
  • AI
  • HARDWARE
  • Dependency only
official+codex · reviewed · May 31, 2026 description in en

Description

Dense vector embeddings can be searched, indexed, and clustered with GPU acceleration for machine learning, recommendation, and retrieval systems.

This is a developer library, not a standalone app. It is useful when applications need faster similarity search and the target system has compatible CUDA or ROCm support.

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