faiss-gpu-optimization
CommunityUltra-fast GPU FAISS for billion-scale search
AuthorRigohl
Version1.0.0
Installs0
System Documentation
What problem does it solve?
FAISS-GPU acceleration enables ultra-fast vector search on NVIDIA GPUs for billion-scale datasets, dramatically reducing latency for large-scale similarity search workloads.
Core Features & Use Cases
- GPU-accelerated FAISS vector search with IVF-PQ indexing for massive datasets
- Support for multi-GPU deployment and production search pipelines
- Memory-aware indexing and batch processing to maximize throughput
- Production-ready search engine integration with batch and streaming queries
Quick Start
Query a trained FAISS-GPU index with a batch of embeddings to retrieve the top-k most similar items.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: faiss-gpu-optimization Download link: https://github.com/Rigohl/MEMORY_P/archive/main.zip#faiss-gpu-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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