core infrastructure case study

Homelab Infrastructure

Distributed compute fabric for local AI, automation, observability, media workflows, and experimental applications.

A multi-node local environment that powers model serving, application hosting, operational tooling, and edge experiments across a curated personal infrastructure stack.

RoleSystems Architect
CategoryInfrastructure / Compute Fabric
StatusLive Environment

Overview

My homelab infrastructure provides a distributed compute environment used for AI experimentation, automation systems, monitoring services, and application development. The environment is designed to function as a miniature production platform where new systems can be designed, tested, and operated across multiple nodes.

Problem

Running everything on a single machine limits scalability and reliability. I needed a distributed environment capable of supporting local AI inference, containerized services, automation runtimes, observability, and experimentation with distributed workflows.

Architecture

Diagram View
Internet
   │
   ▼
Router
   │
   ▼
TP-Link Switch
   ├───────────────────────────────────────────────┬───────────────────────────────┬───────────────────────────────┐
   │                                               │                               │                               │
   ▼                                               ▼                               ▼                               ▼
Mac Mini M4 M4                                   Dell Pro Max GB10              Raspberry Pi 5                    Windows Gaming PC
Controller Node / Host                        Inference Host                 App / Test Server                 Fallback Inference Host

   ├───────────────────────────────┬───────────────────────────────┬───────────────────────────────┐
   │                               │                               │
   ▼                               ▼                               ▼
Pi Zero 2 W                    Pi Zero 2 W                     Raspberry Pi 4B
InkyPi Display                 Pi-hole                         DogCam
Layered View

Control Plane

Mac Mini M4 M4 orchestration services automation runtime

Inference Layer

Dell Pro Max GB10 Windows Gaming PC (fallback) local model serving

Application Layer

Raspberry Pi 5 dashboards apps + media workflows

Edge Layer

Pi Zero 2 W (InkyPi) Pi Zero 2 W (Pi-hole) Raspberry Pi 4B (DogCam)
Private network + secure remote access connect all node roles

Public-safe topology view with generalized service roles and sanitized network presentation.

Implementation

The infrastructure combines compact compute systems and edge devices connected through a private network. Nodes run containerized workloads and participate in shared automation workflows with reproducible deployment patterns and lightweight orchestration.

Capabilities

  • Distributed compute environment for AI experimentation
  • Local LLM inference infrastructure
  • Containerized service hosting
  • Foundation for automation and agent workflows
  • Platform for rapid systems experimentation

Outcome

The homelab provides a stable platform for experimentation and system development, enabling rapid prototyping and operation of AI systems, distributed services, and automation workflows without full cloud dependence.

What’s Next

  • Stronger observability and metrics collection
  • Distributed model serving
  • Expanded service orchestration capabilities
  • Public-safe topology and service visualizations

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