Jump to content

Connect SuperML | Leeroopedia MCP: Equip your AI agents with best practices, code verification, and debugging knowledge. Powered by Leeroo — building Organizational Superintelligence. Contact us at founders@leeroo.com.

Principle:Mit han lab Llm awq Distributed Model Serving

From Leeroopedia
Knowledge Sources
Domains Serving, Infrastructure
Last Updated 2026-02-15 00:00 GMT

Overview

Principle of serving quantized multimodal models through a distributed controller-worker architecture with web UI.

Description

Distributed model serving uses a controller-worker pattern: a central controller manages worker registration, health monitoring via heartbeats, and request routing (lottery or shortest-queue dispatch). Each worker loads a quantized model and exposes a FastAPI endpoint for streaming generation. A Gradio web server provides the user-facing chat interface. This enables scaling to multiple GPUs and models while presenting a unified interface.

Usage

Apply this principle when deploying multimodal chat models in a multi-GPU or multi-node environment requiring load balancing and health monitoring.

Theoretical Basis

The architecture follows the broker pattern from distributed systems: the controller acts as a service registry and load balancer, workers are stateless inference servers, and the web UI is a thin client.

Related Pages

Page Connections

Double-click a node to navigate. Hold to expand connections.
Principle
Implementation
Heuristic
Environment