RTX PRO 4500 Blackwell delivers 800 GB/s memory bandwidth, enabling Milvus to fetch large index blocks and execute similarity searches 50x faster than CPU systems.
GPU Memory Architecture
Blackwell’s GDDR7 memory with 800 GB/s bandwidth is optimized for GPU workloads. Milvus index pages stream from GPU memory at rates impossible on CPUs. A billion-element index serving 10K queries per second sustains full bandwidth utilization.
Vector Search I/O Bottleneck Elimination
CPU vector search bottlenecks on memory latency. Retrieving 10K random index entries from DRAM incurs 100+ nanosecond latencies per fetch. Blackwell’s GPU memory architecture prefetches thousands of index entries in parallel, hiding latency through massive parallelism. Query latency drops from milliseconds to sub-millisecond range.
Index Compression Benefits
Higher bandwidth allows Milvus to use less aggressive quantization while maintaining performance. Instead of storing heavily-compressed 8-bit vectors, Milvus can use higher-precision 16-bit or even full-precision vectors without impacting latency. Search quality improves.
Concurrent Query Scaling
With 800 GB/s available, Milvus supports thousands of concurrent similarity searches. Each query stream reads independently from GPU memory without contention. CPU systems serving equivalent throughput require prohibitively expensive memory hierarchies or accept substantial latency degradation.