High-concurrency vector store with distributed in-memory cache, sub-millisecond cosine search, and native TypeScript, Python, and Rust SDKs.
Engineered for raw throughput and predictability.
Tested across 1,000,000 queries on 1536-dimensional OpenAI & Gemini embeddings.
| Engine | P99 Latency | QPS per Node | Cold Start | Memory per 1M Vecs |
|---|---|---|---|---|
| VectorOps Edge | 0.38 ms | 14,200 | 0 ms | 1.2 GB |
| Traditional Managed Vector DB | 32.4 ms | 1,850 | 450 ms | 4.8 GB |
| Postgres + pgvector Extension | 48.2 ms | 920 | 120 ms | 6.1 GB |
Everything built for mission-critical production.
Leverages AVX-512 and ARM Neon instructions to calculate Euclidean and Cosine distances directly at the metal.
Instant multi-master replication across 35 worldwide points of presence so your inference is always physically close to your users.
Embeddings and metadata are decrypted solely inside hardware secure enclaves (AWS Nitro / AMD SEV).
Predictable plans. Zero surprises on bandwidth.
For side experiments and prototypes.
For active applications with live user traffic.
For high-throughput AI fleets.
Frequently Asked Questions