Multi-Tenant LLM Serving Gateway
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Atlas HuggingFace concurrency latency cliff
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HF Latency Cliff (3050)

Atlas

- Shipped an OpenAI-compatible multi-tenant inference gateway with tenant auth/quotas and three routing strategies (round-robin, least-load, prefix-aware), tested on RTX 3050 4GB and Colab/Kaggle T4 GPUs. - Measured a 5.5× p50 latency improvement when replacing naive Hugging Face serving with vLLM under concurrency. - Found that sticky prefix-aware routing caused a 2× TTFT regression in simulation and a smaller ~1.17× regression on dual live vLLM instances; implemented a load-gate mitigation.

TECH STACK

Python
FastAPI
vLLM
Prometheus
OpenAI API

KEY FEATURES

OpenAI-compatible multi-tenant gateway
Round-robin / least-load / prefix-aware routing
5.5× p50 latency vs naive HF
Load-gate mitigation for sticky routing