AI Infrastructure, Rebuilt.
Sub-3ms latency.
Model-aware routing.
Deterministic governance.
Long-lived streams.
Sustained concurrency.
Token-based economics.
GPU-bound cost.
Traditional gateways were never designed for this.
Short requests become minutes of streaming.
Request limits become token governance.
Burst traffic becomes sustained load.
When your gateway adds latency,
your GPUs sit idle.
That's not technical debt.
That's financial waste.
Core-pinned workers. No cross-thread scheduling, no contention.
Each worker owns its connections. Zero shared mutable state.
No DashMap, no mutexes on the hot path. Predictable latency.
Frozen router swapped via ArcSwap. One atomic load per request.
Deterministic latency under real load.
This isn't tuning. It's a different class of infrastructure.
Than the fastest open-source gateway.
288,960
req/s — plain proxy
2.64ms
p99 latency
285,186
req/s — under stress
Throughput — Plain Proxy · 200 connections
Higher is better · 30s duration · 4 threads · Apple M4
Throughput — Stress · 500 connections
Higher is better · 30s duration · 4 threads
Performance isn't a feature. It's the foundation.
Service mesh manages services.
Inference engines generate tokens.
Ando sits between users and models — including engines like Ollama and vLLM — enforcing:
Model-aware routing
Token quotas
Cost ceilings
Streaming stability
Ando does not run models.
It governs them.
The AI Gateway.