45x Faster Vector Search for AI Applications
Experience the speed difference in real-time
Zero-copy data transfer eliminates bottlenecks
User question
768-dim vector
RDMA search
Augmented answer
| Metric | Traditional RAG | RDMA-RAG | Improvement |
|---|---|---|---|
| Query Latency | 51ms | 1.1ms | 45x faster |
| Throughput | 20 queries/sec | 960 queries/sec | 48x higher |
| CPU Usage | 85% | 15% | 70% reduction |
| Network Overhead | 30ms | 0.1ms | 300x reduction |
| Scale Limit | 100K vectors | 100M vectors | 1000x scale |
Enable AI applications that were previously impossible
Enable instant responses with massive knowledge bases. No more waiting for context retrieval.
Search billions of documents in milliseconds. Perfect for legal, medical, and research applications.
Serve personalized recommendations to millions of users simultaneously without latency.
Instant access to medical knowledge during critical diagnoses. Every millisecond counts.
Real-time market analysis with historical data. Make decisions faster than competitors.
Create intelligent NPCs with vast knowledge that respond instantly to player actions.
Join the future of high-performance AI with RDMA-RAG