How many GPUs does Milvus need on Blackwell for million-scale queries?

A single RTX PRO 4500 Blackwell GPU can handle millions of vector similarity queries daily; larger deployments use multi-GPU Milvus clusters for fault tolerance and scaling.

Single-GPU Throughput

RTX PRO 4500 Blackwell achieves 50x better performance versus CPU-only databases. A single GPU serves 100K+ queries per second on moderately-sized indexes (10M vectors). For most mid-market semantic search applications, one Blackwell GPU exceeds throughput requirements.

Multi-GPU Scaling

Milvus supports horizontal scaling across multiple Blackwell GPUs. Each GPU handles distinct index shards, allowing linear throughput growth. A 4-GPU cluster serves 400K+ QPS; an 8-GPU cluster serves 800K+ QPS.

Cluster Economics

Blackwell’s 25x cost reduction versus prior generation means smaller Milvus clusters achieve higher absolute performance. Five Blackwell GPUs deliver more throughput than 50 Hopper GPUs at lower total cost of ownership.

Load Balancing

Milvus load balancing directs queries to least-loaded GPU nodes automatically. This prevents any single GPU from becoming a bottleneck and ensures even distribution across Blackwell infrastructure.

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