IoT Embedded
IoT Embedded

HomeLab Hardware Guide: Why We Mix Raspberry Pis, Orange Pis, and Dedicated Servers

Dive deep into Alpha Bits' HomeLab hardware strategy, comparing PC vs embedded systems approaches. Learn why we use a mix of Raspberry Pi 4s, Orange Pi Zeros, Radxa boards, and a dedicated GPU server, including real-world costs, lessons learned, and recommendations for building your own distributed infrastructure.

Alpha Bits

Alpha Bits

Engineering Team

Sep 5, 2025
8 min read
HomeLab Hardware Guide: Why We Mix Raspberry Pis, Orange Pis, and Dedicated Servers

When I tell people about our HomeLab setup at Alpha Bits, the first question is usually: "Why don't you just use a single powerful server?" It's a fair question, and one that took me months of experimentation to answer properly.

The short answer: because different workloads have different needs, and the beauty of a distributed HomeLab is matching the right hardware to the right job. Today, I'll walk you through our hardware philosophy, the specific devices we use, and the hard-learned lessons that shaped our current setup.

The Great Debate: PC vs Embedded Systems

Let me start with the fundamental choice every HomeLab builder faces: do you go with a traditional PC/server approach, or embrace the world of single-board computers (SBCs) and embedded systems?

I've tried both approaches extensively, and honestly, the answer isn't either/or – it's both, strategically deployed.

The Traditional PC/Server Approach

Pros:

  • Raw Power - Nothing beats a proper CPU and GPU for compute-intensive tasks
  • Memory Capacity - 32GB, 64GB, or more RAM for memory-hungry applications
  • Storage Flexibility - Multiple drives, RAID configurations, NVMe speeds
  • Expansion Options - PCIe slots for specialized cards, multiple network interfaces
  • Familiar Territory - Standard x86 architecture, broad software compatibility

Cons:

  • Power Consumption - Even idle, a desktop PC draws 50-150W continuously
  • Heat and Noise - Fans, cooling requirements, not exactly living-room friendly
  • Cost - Higher upfront investment, especially for quality components
  • Overkill Factor - Most home services don't need 16 cores and 64GB RAM

The Embedded/SBC Approach

Pros:

  • Power Efficiency - A Raspberry Pi 4 draws 3-5W under normal load
  • Silent Operation - No fans, no noise, perfect for any environment
  • Cost Effective - Multiple specialized devices often cost less than one powerful server
  • Fault Isolation - If one device fails, others keep running
  • ARM Learning - Experience with the architecture powering most mobile and IoT devices

Cons:

  • Limited Performance - ARM processors have come far, but x86 still leads in raw compute
  • Memory Constraints - Most SBCs max out at 4-8GB RAM
  • Software Compatibility - Some applications still don't have ARM builds
  • Management Overhead - Multiple devices mean multiple systems to maintain

Our Alpha Bits Hardware Philosophy

After three years of experimentation, we've settled on what I call the "hybrid distributed approach." Here's our current setup and the reasoning behind each choice:

The Foundation: Raspberry Pi Ecosystem

Raspberry Pi 4 (8GB) - Our Workhorses

We run three Pi 4s as our primary service nodes. Each one handles specific roles:

  • Pi-Main: CasaOS, primary Docker host, web services
  • Pi-Data: Database services, backup coordination, monitoring
  • Pi-Edge: IoT gateway, Node-RED, sensor data processing

Why Pi 4s? After testing various SBCs, the Pi ecosystem's maturity is unmatched. Documentation is extensive, community support is incredible, and hardware availability is generally reliable (supply chain issues aside).

Raspberry Pi 400 - The Development Machine

This might sound crazy, but I do a surprising amount of development work directly on a Pi 400. It's my "field laptop" – I can SSH into any system, edit configurations, test deployments, and even do light coding. The integrated keyboard form factor is perfect for quick maintenance tasks.

Raspberry Pi CM4 Modules - Specialized Tasks

We use CM4 modules in custom carrier boards for specific applications:

  • Network attached storage with multiple SATA connections
  • Industrial IoT gateway with RS485 and CAN bus interfaces
  • Digital signage controller for our office displays

The CM4's flexibility lets us build exactly what we need without compromise.

The Lightweight Champions: Orange Pi Zero Series

Here's where we get into the really cost-effective territory. Orange Pi Zero boards (we use the Zero 2W and Zero 3) serve as our "micro-services" nodes:

  • DNS and DHCP - Pi-hole running on a Zero 2W
  • VPN Gateway - WireGuard endpoint on another Zero 2W
  • Environmental Monitoring - Temperature, humidity, air quality sensors
  • Backup Coordination - Lightweight backup scripts and monitoring

At $15-25 each, these little boards handle single-purpose tasks beautifully. The power consumption is negligible (under 2W each), and if one fails, it's not a major financial hit to replace.

A Personal Story: I was initially skeptical about the Orange Pi ecosystem – the documentation isn't as polished as Raspberry Pi's. But after our first Zero 2W ran Pi-hole flawlessly for eight months straight, drawing less power than a night light, I became a convert. Sometimes the best solution is the simplest one.

The Powerhouse: Dedicated Linux Server with GPU

For compute-intensive tasks, we maintain one traditional x86 server:

Specifications:

  • AMD Ryzen 7 5700G (8 cores, 16 threads)
  • 32GB DDR4 RAM
  • NVIDIA RTX 3060 (12GB VRAM)
  • 1TB NVMe SSD + 4TB HDD storage
  • Ubuntu Server 22.04 LTS

Primary Uses:

  • Local LLM Inference - Running Llama 2, Code Llama, and other models locally
  • AI Development - Training small models, computer vision experiments
  • Video Processing - Transcoding, streaming, media server duties
  • Development Environments - Heavy IDEs, compilation tasks, testing
  • Backup Target - Central storage for all other devices

This server only runs when needed – it's not our 24/7 infrastructure. The Pi ecosystem handles daily operations, and we fire up the big server for specific tasks. This approach keeps our power bill reasonable while providing serious compute when required.

The Specialized Player: Radxa Rock 3W

The Radxa Rock 3W deserves special mention. We use it for our most demanding ARM workloads:

  • RK3568 processor with better performance than Pi 4
  • Up to 8GB LPDDR4 RAM
  • Built-in WiFi 6 and Bluetooth 5.0
  • Multiple camera and display interfaces

Our Rock 3W runs our computer vision pipeline for security cameras, handles real-time image processing, and serves as a backup for critical services. It's the perfect middle ground between Pi 4 performance and x86 power consumption.

Lessons Learned: What I'd Do Differently

1. Start with Power Measurement

I wish I'd bought a power meter earlier. Understanding the actual power consumption of each device changed how I think about 24/7 services. That "efficient" mini PC drawing 25W idle costs more in electricity per year than buying two Raspberry Pis.

2. Plan for Failure from Day One

SD cards will fail. It's not if, it's when. I learned this the hard way when our main Pi's SD card died on a Sunday morning, taking down several services. Now every critical service runs on at least two devices, and we use USB SSDs for anything important.

3. Network is Everything

A distributed setup is only as good as the network connecting it. Invest in a decent managed switch, plan your VLANs, and monitor network performance. We'll cover this in detail in our networking post.

4. ARM Software Ecosystem Has Matured

Three years ago, finding ARM builds of software was frustrating. Today, most major applications have native ARM support, and Docker makes the rest manageable. Don't let ARM compatibility fears hold you back.

Cost Breakdown: Our Current Setup

For transparency, here's what our current hardware cost (approximate, as prices fluctuate):

  • 3x Raspberry Pi 4 (8GB): $75 × 3 = $225
  • 1x Raspberry Pi 400: $70
  • 2x CM4 modules + carriers: $150
  • 4x Orange Pi Zero boards: $20 × 4 = $80
  • 1x Radxa Rock 3W: $85
  • Dedicated server components: $1,200
  • Storage, cases, cables, etc.: $300

Total Hardware Investment: ~$2,110

Compare this to a single high-end server with equivalent capabilities, and we're actually saving money while gaining redundancy, power efficiency, and learning opportunities.

Recommendations for Getting Started

If you're just starting:

  1. Begin with a single Raspberry Pi 4 (8GB) - Learn the basics, get comfortable with Linux administration
  2. Add an Orange Pi Zero - Experience managing multiple devices, try single-purpose services
  3. Consider your power budget - Measure consumption, calculate yearly costs
  4. Plan for growth - Buy a managed switch, think about network architecture

If you need serious compute:

  1. Start with the distributed approach anyway - Learn the concepts on low-power hardware
  2. Add a dedicated server later - When you have specific high-performance needs
  3. Consider used enterprise hardware - Older Xeon servers can be very cost-effective

What's Next?

Hardware is just the foundation. In our next post, we'll dive into the networking magic that ties everything together: how ZeroTier, Cloudflare DNS, and Cloudflare Tunnel create a seamless, secure network that works from anywhere in the world.

We'll cover the specific configurations, the security considerations, and why this combination has been game-changing for our distributed setup.

Have questions about specific hardware choices or wondering how a particular device might fit your use case? Drop us a line – I love talking hardware, and your questions help shape future posts in this series.

Next up: "HomeLab Networking: ZeroTier + Cloudflare = NAT-Free Nirvana"