How does Milvus support GPU-accelerated vector search?

Milvus supports GPU indexes including GPU_IVF_FLAT, GPU_IVF_PQ, GPU_BRUTE_FORCE, and GPU_CAGRA, the last developed by NVIDIA for high-throughput batch retrieval. GPU indexes dramatically accelerate both indexing and search on large datasets, particularly useful for offline batch workloads and high query-per-second applications. GPU support requires NVIDIA hardware, the CUDA runtime, and the appropriate Milvus container image. For interactive low-QPS workloads, CPU HNSW often has better latency per query, so GPU pays off at scale.