SYSTEM Cited by 1 source

Ollama

Definition

A lightweight, container-friendly LLM inference runtime that serves quantized model formats (GGUF) for efficient on-device inference within memory-constrained environments. Decouples model serving infrastructure from any cloud dependency.

Role in edge architectures

In offline-first architectures, Ollama provides the local inference layer that enables AI operation without network connectivity. Its support for quantized models makes it viable on edge hardware with limited VRAM (16 GB+).

Seen in

• sources/2026-07-22-aws-architecting-offline-first-generative-ai-applications-for-edge-deployments — edge inference runtime serving fine-tuned gpt-oss-20b with domain-specific system prompts; paired with Strands Agents for orchestration and ChromaDB for local RAG.