High-throughput enterprise AI gateway & vLLM proxy
Engineered for bare-metal performance with near-zero proxy overhead. Unify all local models (vLLM, Ollama, TensorRT-LLM) behind a single OpenAI-compatible endpoint with intelligent queue balancing, sliding-window rate limits, and 100% sovereign air-gapped VPC support.
In-Memory Stream Engine
Zero-copy in-memory stream architecture. Total gateway overhead is less than 0.15% of standard LLM inference time.
Universal OpenAI API
Route all agent frameworks (LangChain, CrewAI, AutoGen) through standard `/v1/chat/completions` regardless of underlying inference engines.
Queue-Aware Load Balancing
Directs traffic based on real-time GPU queue depth, KV-cache affinity, and auto-fails over to healthy replica nodes with zero dropped sockets.
Token Quotas & Limits
Enforce per-agent token budgets, sliding-window rate limits, and department cost controls to prevent resource exhaustion.
Proxy Overhead Benchmark Matrix
10,000 Concurrent Streams / Intel Xeon & NVIDIA H100 Node
| Gateway Solution | Added Latency (p99) | Memory / CPU Overhead | Air-Gapped Security |
|---|---|---|---|
| Argate AI Gateway | Near-Zero (Lowest) | ~45 MB RAM / 0.2 CPU | 100% Sovereign (0 Egress) |
| Standard Python AI Gateway | High Overhead | ~850 MB RAM / 2.4 CPU | Limited |
| Cloud-Hosted AI Proxy (SaaS) | Variable Internet Latency | SaaS Managed | ❌ Data Leaves Perimeter (Compliance Risk) |
Supercharge your local AI infrastructure
Deploy with a single Helm command and connect your entire cluster in minutes.