Build billion-scale vector databases in under an hour with GPU acceleration on Amazon OpenSearch Service

This article announces GPU-accelerated vector indexing on Amazon OpenSearch Service, enabling billion-scale vector database construction in under an hour with 10x faster indexing at 25% cost reduction.

• Build billion-scale vector indexes 6.4-13.8x faster using serverless GPU acceleration
• Reduce indexing costs by 3.8-8.9x on OpenSearch Serverless through efficient GPU offloading
• Maintain low search latency under heavy write workloads by freeing CPU and RAM resources
• GPU servers dynamically attach to domains/collections; pay-per-use via OpenSearch Compute Units
• Feature available on OpenSearch Service 3.1+ with no GPU instance management required
• Benchmarks show 1B vector indexing reduced from 31.9 hours to 2.8 hours with GPU acceleration

GPU-accelerated vector indexing on OpenSearch Service significantly accelerates AI application development by enabling faster index builds, lower costs, and improved search performance under demanding workloads.