Loading…
Loading…
Written by Max Zeshut
Founder at Agentmelt · Last updated Sep 9, 2026
The infrastructure that hosts trained AI models and handles inference requests—loading model weights into memory, processing inputs, returning outputs, and managing concurrency. Model serving is the production runtime for AI: it determines latency, throughput, cost, and availability. Self-hosted agents require model serving infrastructure; API-based agents (Claude, GPT) abstract it away.
A company self-hosts Llama 3 for a coding agent using vLLM as the serving framework. The serving layer handles batching multiple requests, managing GPU memory, and scaling replicas during peak hours.
See it as a workflow
Automated Code Review WorkflowTrigger, steps, n8n nodes, guardrails and an importable template — plus what it costs to have it built.
Or skip the build
Workflows from $197/month, custom agents from $2,000.