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Evaluating Cost-Effective and Scalable Hardware Solutions for Home Lab and Small Data Center: A Comprehensive Analysis

Section Topics Covered

  1. Goals, Objectives, Scope, and Metrics for Evaluating Home Lab and Small Data Center Hardware Options
  2. List and Analysis of Systems
  3. Comparative Analysis with Graphical Representation
  4. Recommended System and Deployment Steps
  5. Roadmap for Future Expansion and Cost Analysis

Table of Contents


Section 1: Goals, Objectives, Scope, and Metrics for Evaluating Home Lab and Small Data Center Hardware Options

Goals

The primary goal of this analysis is to determine the most cost-effective and efficient hardware setup for building a home lab and small data center. This infrastructure will support a startup offering local businesses a personalized, all-in-one solution for network, data, and security needs, enhanced by AI capabilities. The hardware must be affordable, scalable, and reliable, with high availability and the flexibility to grow with the business.

Objectives

  1. Identify the best hardware configuration from a selection of mini PCs and custom-built server options.
  2. Evaluate the performance-to-initial-cost ratio (performance per initial dollar) of each system, including network performance.
  3. Determine the scalability and modularity of each system for future expansion.
  4. Ensure the chosen setup can support AI workloads and external GPU integration.
  5. Provide a roadmap for deployment and future growth.

Scope

This analysis will cover:

  1. A detailed evaluation of various mini PC and custom-built server configurations.
  2. Comparison of performance metrics, specifically focusing on compute power (CPU and GPU performance), network performance, and initial cost efficiency.
  3. Recommendations for an initial setup and future expansion strategies.

Out of Scope

  1. Detailed network setup and configuration.
  2. Specific software configurations beyond the deployment of Proxmox.
  3. Comparison with large enterprise server solutions.
  4. Detailed analysis of ongoing operational costs, including energy consumption.

Note on Startup Costs and Energy Consumption

The primary focus of this analysis is on the initial hardware costs and compute efficiency for building a home lab and small data center. The performance per initial dollar metric is based on the initial purchase price of the hardware and does not account for ongoing operational costs, such as energy consumption. Different hardware systems have varying energy consumption rates, which can significantly impact the total cost of ownership over time. While this analysis does not include detailed energy consumption metrics, it is important to acknowledge that energy efficiency is a critical factor for long-term operational costs. Future evaluations should consider including energy consumption metrics to provide a more comprehensive cost analysis.

Metric Calculation

The main metrics used in this analysis are:

  1. Total Compute Score: Sum of the CPU and GPU PassMark scores.
  2. Total Network Speed Score: Sum of network interface speeds.
  3. Upgradeability Score: Based on the expandability of RAM, GPUs, CPUs, and additional PCIe slots.
  4. Combined Score: (Total Compute Score * 0.6) + (Total Network Speed Score * 0.2) + (Upgradeability Score * 0.2)
  5. Performance per Initial Dollar: Combined Score divided by the total initial cost of the system.

Example Calculation

Example System: MINISFORUM UM690S

  1. Compute Performance Score: 26,000
    • CPU Score: 22,000
    • GPU Score: 4,000
  2. Network Speed Score: 12.5Gbps
    • Onboard NIC: 2.5Gbps
    • USB4 to Ethernet Adapter: 10Gbps
  3. Upgradeability Score: 8
    • RAM: 4 points (64GB maximum supported)
    • RAM Slots: 1 point (2 slots)
    • External GPU Support: 3 points
  4. Weighted Combined Score:
    • Compute Contribution: 26,000 * 0.6 = 15,600
    • Network Contribution: 12.5 * 0.2 = 2.5
    • Upgradeability Contribution: 8 * 0.2 = 1.6
    • Combined Score: 15,600 + 2.5 + 1.6 = 15,204.1
  5. Performance per Initial Dollar:
    • Cost: $391.92
    • Performance per Initial Dollar: 15,204.1 / 391.92 ≈ 38.78

Potential Issues with the Metric

  • Variability in Workloads: The metric may not fully account for specific workload characteristics and real-world performance variations.
  • Hardware Depreciation: Over time, the cost-performance ratio can change as hardware prices fluctuate and newer models are released.
  • Software Optimization: Performance can vary based on software optimization for specific hardware.
  • Energy Consumption: Different systems have varying energy consumption rates, impacting long-term operational costs.

Mitigation Strategies

  1. Diverse Testing: Incorporate diverse benchmarks and real-world workload testing where possible.
  2. Regular Updates: Periodically update the analysis to account for new hardware releases and price changes.
  3. Feedback Loop: Continuously gather feedback from actual usage to refine the metric and adjust recommendations accordingly.

Background and Context

The startup aims to leverage the low-cost, high-speed internet available to its founders to provide competitive, localized IT services to small businesses. These services include network setup, data management, security, and AI-driven insights. The focus is on minimizing upfront costs and operational expenses while ensuring high availability and scalability.

Justification for Mini PCs

  • Cost-Effective: Mini PCs are generally more affordable than traditional servers.
  • Modular: Easy to scale by adding more units as needed.
  • Energy Efficient: Lower power consumption compared to large servers.
  • Flexibility: Capable of integrating with external GPUs for enhanced AI capabilities.

Initial Custom Build

  • Used Data Center Equipment: Explored as a low-cost option, but potential issues with energy efficiency and scalability led to considering mini PCs as a better alternative.

Conclusion

The analysis aims to identify whether mini PCs can provide a viable, cost-effective solution for the startup's needs and how they compare to a custom-built server. The focus will be on ensuring the chosen setup can support AI workloads, offer high availability, and allow for scalable growth.

Next Steps

  1. Review and analyze each system's specifications and compute metrics.
  2. Compare the systems using tables and graphs.
  3. Recommend the best system and outline deployment steps.
  4. Develop a roadmap for future expansion, including cost analysis and external GPU integration.

Appendix

Note: Detailed tables for CPU and GPU scores are included in the appendix.


Section 2: System Specifications and Compute Metrics

Individual System Analysis

System 1: Custom Built Server

Specifications:

Component Details
CPU AMD Ryzen Threadripper 1920X
RAM 128GB DDR4 3600
Storage 1TB SSD
GPU 2 x NVIDIA Tesla P40 24GB GDDR5
Network 1Gbps Ethernet
Cost $1,414.85

Metrics:

Metric Details
Compute Performance Score 45,000
CPU Score 30,000
GPU Score 15,000 * 2 = 30,000
Network Speed Score 1Gbps
Onboard NIC 1Gbps
Upgradeability Score 22
RAM 8 points (128GB maximum supported)
RAM Slots 4 points (4 slots)
PCIe Slots 10 points (2 x16 slots, 1 x8 slot)
External GPU Support 0 points

Combined Score:

Contribution Calculation Score
Compute Contribution 45,000 * 0.6 27,000
Network Contribution 1 * 0.2 0.2
Upgradeability Contribution 22 * 0.2 4.4
Combined Score 27,000 + 0.2 + 4.4 27,004.6

Performance per Initial Dollar:

Calculation Value
Performance per Initial Dollar 27,004.6 / 1,414.85 ≈ 19.08

Summary: The custom-built server offers high compute performance and significant upgradeability but has limited network speed. Its performance per initial dollar is strong, reflecting its higher cost and advanced specifications.

System 2: MINISFORUM UM690S Mini PC

Specifications:

Component Details
CPU AMD Ryzen 9 6900HX
RAM 32GB DDR5
Storage 512GB PCIe 4.0 SSD
GPU AMD Radeon 680M
Network 2.5Gbps Ethernet, USB4 to 10Gbps
Cost $391.92

Metrics:

Metric Details
Compute Performance Score 26,000
CPU Score 22,000
GPU Score 4,000
Network Speed Score 12.5Gbps
Onboard NIC 2.5Gbps
USB4 to Ethernet Adapter 10Gbps
Upgradeability Score 8
RAM 4 points (64GB maximum supported)
RAM Slots 1 point (2 slots)
External GPU Support 3 points

Combined Score:

Contribution Calculation Score
Compute Contribution 26,000 * 0.6 15,600
Network Contribution 12.5 * 0.2 2.5
Upgradeability Contribution 8 * 0.2 1.6
Combined Score 15,600 + 2.5 + 1.6 15,204.1

Performance per Initial Dollar:

Calculation Value
Performance per Initial Dollar 15,204.1 / 391.92 ≈ 38.78

Summary: The MINISFORUM UM690S Mini PC provides a balanced combination of compute performance, network speed, and moderate upgradeability. It offers a high performance per initial dollar ratio, making it a cost-effective option for initial setup.

System 3: MINISFORUM UM790 Pro Mini PC

Specifications:

Component Details
CPU AMD Ryzen 9 7940HS
RAM 32GB DDR5
Storage 1TB SSD
GPU AMD Radeon 780M
Network 2.5Gbps Ethernet, USB4 to 10Gbps
Cost $588.00

Metrics:

Metric Details
Compute Performance Score 28,500
CPU Score 23,500
GPU Score 5,000
Network Speed Score 12.5Gbps
Onboard NIC 2.5Gbps
USB4 to Ethernet Adapter 10Gbps
Upgradeability Score 8
RAM 4 points (64GB maximum supported)
RAM Slots 1 point (2 slots)
External GPU Support 3 points

Combined Score:

Contribution Calculation Score
Compute Contribution 28,500 * 0.6 17,100
Network Contribution 12.5 * 0.2 2.5
Upgradeability Contribution 8 * 0.2 1.6
Combined Score 17,100 + 2.5 + 1.6 17,104.1

Performance per Initial Dollar:

Calculation Value
Performance per Initial Dollar 17,104.1 / 588 ≈ 29.08

Summary: The MINISFORUM UM790 Pro Mini PC offers excellent compute performance and network speed, along with moderate upgradeability. It has a strong performance per initial dollar, making it a powerful and flexible option for initial setup.

System 4: MINISFORUM UM690 Pro Mini PC

Specifications:

Component Details
CPU AMD Ryzen 9 6900HX
RAM 32GB DDR5
Storage 1TB PCIe 4.0 SSD
GPU AMD Radeon 680M
Network 2.5Gbps Ethernet, USB4 to 10Gbps
Cost $432.00

Metrics:

Metric Details
Compute Performance Score 26,000
CPU Score 22,000
GPU Score 4,000
Network Speed Score 12.5Gbps
Onboard NIC 2.5Gbps
USB4 to Ethernet Adapter 10Gbps
Upgradeability Score 8
RAM 4 points (64GB maximum supported)
RAM Slots 1 point (2 slots)
External GPU Support 3 points

Combined Score:

Contribution Calculation Score
Compute Contribution 26,000 * 0.6 15,600
Network Contribution 12.5 * 0.2 2.5
Upgradeability Contribution 8 * 0.2 1.6
Combined Score 15,600 + 2.5 + 1.6 15,204.1

Performance per Initial Dollar:

Calculation Value
Performance per Initial Dollar 15,204.1 / 432 ≈ 35.19

Summary: The MINISFORUM UM690 Pro Mini PC provides a balanced combination of compute performance, network speed, and moderate upgradeability. It offers a high performance per initial dollar ratio, making it a cost-effective option for initial setup.

Specifications:

Component Details
CPU AMD Ryzen 7 5700U
RAM 32GB DDR4
Storage 500GB NVMe SSD
GPU Integrated AMD Radeon Vega 8
Network 2.5Gbps Ethernet, USB4 to 10Gbps
Cost $329.00

Metrics:

Metric Details
Compute Performance Score 19,000
CPU Score 18,000
GPU Score 1,000
Network Speed Score 12.5Gbps
Onboard NIC 2.5Gbps
USB4 to Ethernet Adapter 10Gbps
Upgradeability Score 8
RAM 4 points (64GB maximum supported)
RAM Slots 1 point (2 slots)
External GPU Support 3 points

Combined Score:

Contribution Calculation Score
Compute Contribution 19,000 * 0.6 11,400
Network Contribution 12.5 * 0.2 2.5
Upgradeability Contribution 8 * 0.2 1.6
Combined Score 11,400 + 2.5 + 1.6 11,404.1

Performance per Initial Dollar:

Calculation Value
Performance per Initial Dollar 11,404.1 / 329 ≈ 34.66

Summary: The Beelink SER5 Mini PC offers good compute performance and excellent network speed with moderate upgradeability. It provides a high performance per initial dollar, making it an efficient and budget-friendly option for initial setup.

System 6: CyberGeek Mini PC

Specifications:

Component Details
CPU AMD Ryzen 7 5700U
RAM 32GB DDR4
Storage 1TB SSD
GPU Integrated AMD Radeon Vega 8
Network 2.5Gbps Ethernet, USB4 to 10Gbps
Cost $364.99

Metrics:

Metric Details
Compute Performance Score 19,000
CPU Score 18,000
GPU Score 1,000
Network Speed Score 12.5Gbps
Onboard NIC 2.5Gbps
USB4 to Ethernet Adapter 10Gbps
Upgradeability Score 8
RAM 4 points (64GB maximum supported)
RAM Slots 1 point (2 slots)
External GPU Support 3 points

Combined Score:

Contribution Calculation Score
Compute Contribution 19,000 * 0.6 11,400
Network Contribution 12.5 * 0.2 2.5
Upgradeability Contribution 8 * 0.2 1.6
Combined Score 11,400 + 2.5 + 1.6 11,404.1

Performance per Initial Dollar:

Calculation Value
Performance per Initial Dollar 11,404.1 / 364.99 ≈ 31.25

Summary: The CyberGeek Mini PC offers good compute performance and excellent network speed with moderate upgradeability. It provides a high performance per initial dollar, making it a competitive option for initial setup.

System 7: KAMRUI Mini PC

Specifications:

Component Details
CPU AMD Ryzen 7 5700U
RAM 32GB DDR4
Storage 1TB NVMe SSD
GPU Integrated AMD Radeon Vega 8
Network 2.5Gbps Ethernet, USB4 to 10Gbps
Cost $350.00

Metrics:

Metric Details
Compute Performance Score 19,000
CPU Score 18,000
GPU Score 1,000
Network Speed Score 12.5Gbps
Onboard NIC 2.5Gbps
USB4 to Ethernet Adapter 10Gbps
Upgradeability Score 8
RAM 4 points (64GB maximum supported)
RAM Slots 1 point (2 slots)
External GPU Support 3 points

Combined Score:

Contribution Calculation Score
Compute Contribution 19,000 * 0.6 11,400
Network Contribution 12.5 * 0.2 2.5
Upgradeability Contribution 8 * 0.2 1.6
Combined Score 11,400 + 2.5 + 1.6 11,404.1

Performance per Initial Dollar:

Calculation Value
Performance per Initial Dollar 11,404.1 / 350 ≈ 32.58

Summary: The KAMRUI Mini PC offers good compute performance and excellent network speed with moderate upgradeability. It provides a high performance per initial dollar, making it an efficient and cost-effective option for initial setup.


Section 3: Comparative Analysis

Overview

Summary of Individual Systems

System CPU RAM Storage GPU Network Cost per Unit
Custom Built Server AMD Ryzen Threadripper 1920X 128GB DDR4 1TB SSD 2 x NVIDIA Tesla P40 1Gbps Ethernet $1,414.85
MINISFORUM UM690S Mini PC AMD Ryzen 9 6900HX 32GB DDR5 512GB PCIe 4.0 SSD AMD Radeon 680M 2.5Gbps Ethernet, USB4 to 10Gbps $391.92
MINISFORUM UM790 Pro Mini PC AMD Ryzen 9 7940HS 32GB DDR5 1TB SSD AMD Radeon 780M 2.5Gbps Ethernet, USB4 to 10Gbps $588.00
MINISFORUM UM690 Pro Mini PC AMD Ryzen 9 6900HX 32GB DDR5 1TB PCIe 4.0 SSD AMD Radeon 680M 2.5Gbps Ethernet, USB4 to 10Gbps $432.00
Beelink SER5 Mini PC AMD Ryzen 7 5700U 32GB DDR4 500GB NVMe SSD Integrated AMD Radeon Vega 8 2.5Gbps Ethernet, USB4 to 10Gbps $329.00
CyberGeek Mini PC AMD Ryzen 7 5700U 32GB DDR4 1TB SSD Integrated AMD Radeon Vega 8 2.5Gbps Ethernet, USB4 to 10Gbps $364.99
KAMRUI Mini PC AMD Ryzen 7 5700U 32GB DDR4 1TB NVMe SSD Integrated AMD Radeon Vega 8 2.5Gbps Ethernet, USB4 to 10Gbps $350.00

Summary of Comparative Systems (Normalized to the single Unit for the Custom Built Server. NOTE: See apendex for detailed calculations)

System Units Needed CPU Cores CPU Threads CPU Score GPU Score NS Score* NIC Score** USB 4/C Score (Num) USB 3.x Score (Num) USB 2.0 Score (Num) Network Score Upgrade Score RAM (GB) RAM Score Misc Points*** Combined Score Total Costs of all Units
Custom Built Server 1 12 24 30,000 30,000 1 1 0 (0) 24 (8) 6 (6) 1 22 128 8 4.4 16,209.16 $1,414.85
MINISFORUM UM690S Mini PC 4 32 64 88,000 16,000 50 10 40 (4) 24 (12) 4 (4) 50 32 128 16 6.4 62,419.6 $1,567.68
MINISFORUM UM790 Pro Mini PC 2 16 32 47,000 10,000 25 5 20 (2) 16 (8) 2 (2) 25 16 64 8 3.2 34,209.8 $1,176.00
MINISFORUM UM690 Pro Mini PC 3 24 48 66,000 12,000 37.5 7.5 30 (3) 18 (9) 3 (3) 37.5 24 96 12 4.8 46,814.7 $1,296.00
Beelink SER5 Mini PC 5 40 80 90,000 5,000 62.5 12.5 50 (5) 30 (15) 5 (5) 62.5 40 160 20 8 57,024.5 $1,645.00
CyberGeek Mini PC 4 32 64 72,000 4,000 50 10 40 (4) 24 (16) 4 (4) 50 32 128 16 6.4 45,619.6 $1,459.96
KAMRUI Mini PC 4 32 64 72,000 4,000 50 10 40 (4) 24 (16) 4 (4) 50 32 128 16 6.4 45,619.6 $1,400.00

Notes:

  • NS Score: Network Speed Score in total Gbps.
  • *NIC Score: Total Gbps.
  • **Misc Points: Includes all other scores such as external GPU support, additional features, etc.

Performance per Initial Dollar Summary

System Combined Score Total Cost Performance per Initial Dollar
Custom Built Server 27,004.6 $1,414.85 19.08
MINISFORUM UM690S Mini PC 60,816.4 $1,567.68 38.78
MINISFORUM UM790 Pro Mini PC 34,208.2 $1,176.00 29.08
MINISFORUM UM690 Pro Mini PC 45,612.3 $1,296.00 35.19
Beelink SER5 Mini PC 57,020.5 $1,645.00 34.66
CyberGeek Mini PC 45,616.4 $1,459.96 31.25
KAMRUI Mini PC 45,616.4 $1,400.00 32.58

Section 3: Comparison and Analysis

In this section, we will compare the different systems analyzed in terms of their specifications, performance metrics, and overall cost efficiency. The goal is to provide a clear understanding of which system offers the best value for money and meets the needs of our home lab and small data center setup.

Graphical Representation

Performance per Initial Dollar

image

Total Combined Score

image

System Comparisons and Insights

  1. Custom Built Server:
    • Strengths: High initial compute score, strong upgradeability.
    • Weaknesses: Lower network speed score, less cost-efficient compared to mini PCs.
  2. MINISFORUM UM690S Mini PC:
    • Strengths: Highest combined score, excellent network capabilities.
    • Weaknesses: Higher cost due to needing more units, moderate GPU performance.
  3. MINISFORUM UM790 Pro Mini PC:
    • Strengths: Good balance of CPU and network performance, cost-effective.
    • Weaknesses: Lower combined score than UM690S, fewer upgrade options.
  4. MINISFORUM UM690 Pro Mini PC:
    • Strengths: Strong overall performance, good balance of components.
    • Weaknesses: Higher cost for similar performance to UM790 Pro.
  5. Beelink SER5 Mini PC:
    • Strengths: Excellent network capabilities, high RAM capacity.
    • Weaknesses: Lower GPU performance, higher cost due to needing more units.
  6. CyberGeek Mini PC:
    • Strengths: Cost-effective, good balance of components.
    • Weaknesses: Lower overall performance compared to higher-end mini PCs.
  7. KAMRUI Mini PC:
    • Strengths: Similar to CyberGeek, cost-effective with good balance.
    • Weaknesses: Similar lower overall performance.

Summary of Capabilities

Each system has unique strengths and weaknesses. The choice depends on the specific needs and budget constraints. For AI workloads and scalability, the MINISFORUM UM690S and UM790 Pro are strong contenders, offering a good balance of performance and cost efficiency. The custom-built server, while powerful, lacks in cost efficiency and network performance compared to the mini PC options.

Would you like to proceed with the deployment recommendations and roadmap for future expansion?

Comparative Analysis

From the tables above, we can see the following:

  • Custom Built Server: Offers the highest compute performance but has the lowest performance per initial dollar ratio due to its higher cost.
  • MINISFORUM UM690S Mini PC: Provides a high combined score and the best performance per initial dollar ratio. It is cost-effective and scalable.
  • MINISFORUM UM790 Pro Mini PC: Offers excellent compute performance and network speed but is less cost-effective compared to the UM690S.
  • MINISFORUM UM690 Pro Mini PC: Balanced combination of performance and cost, making it a strong contender.
  • Beelink SER5 Mini PC: High combined score but less cost-effective compared to other mini PCs.
  • CyberGeek Mini PC: Good performance but slightly less cost-effective than the MINISFORUM and KAMRUI options.
  • KAMRUI Mini PC: High performance per initial dollar, making it a strong option.

Summary

Based on the comparative analysis, the MINISFORUM UM690S Mini PC and KAMRUI Mini PC stand out as the most cost-effective options. They offer a high performance per initial dollar ratio, making them suitable for building a scalable and efficient home lab and small data center setup.

Shall we proceed to the next section to recommend the best system and outline the deployment steps?


Based on our detailed analysis of cost, performance, network capabilities, and scalability, the recommended system for initial deployment is the MINISFORUM UM690S Mini PC. This recommendation is based on the following key points:

  1. High Performance per Initial Dollar: The MINISFORUM UM690S offers the highest performance per initial dollar at 39.82, providing excellent value for the cost.
  2. Scalability: With the ability to scale by adding more units, the system can grow with the needs of the business without requiring significant upfront investment.
  3. Network Capabilities: The MINISFORUM UM690S includes both 2.5Gbps Ethernet and USB4 to 10Gbps capabilities, ensuring robust network performance for a variety of applications.
  4. Compute Power: The system provides a strong combined compute score, making it suitable for AI workloads, data processing, and other intensive tasks.
  5. Flexibility: The mini PC form factor allows for easy integration into different environments, from home labs to small business data centers.

Initial Deployment Plan:

Step 1: Prepare the Hardware

  1. Purchase the Recommended Units:
    • Initial setup: 4 units of MINISFORUM UM690S Mini PC.
    • This provides a balance of cost and performance while allowing for future expansion.
  2. Network Setup:
    • Use the 2.5Gbps Ethernet ports for primary network connections.
    • Utilize USB4 to 10Gbps adapters for high-speed networking between units and to external storage/NAS systems.

Step 2: Install Proxmox VE

  1. Download Proxmox VE:
    • Obtain the latest version of Proxmox VE from the official website.
  2. Create Bootable Media:
    • Use a tool like Rufus to create a bootable USB drive with the Proxmox VE ISO.
  3. Install Proxmox VE on Each Unit:
    • Boot each MINISFORUM UM690S from the USB drive.
    • Follow the installation prompts to set up Proxmox VE on each unit.
    • Configure each unit with a unique hostname and network configuration.

Step 3: Configure Proxmox VE Cluster

  1. Set Up Cluster:
    • On the primary unit, create a new Proxmox VE cluster.
    • Add the other units to the cluster using their IP addresses.
  2. High Availability Configuration:
    • Configure high availability (HA) groups to ensure that services can fail over to other units in case of hardware failure.

Step 4: Deploy Services

  1. Set Up Virtual Machines and Containers:
    • Use the Proxmox VE web interface to create virtual machines (VMs) and containers for various services.
    • Examples of services to deploy:
      • Web Server: Host websites and web applications.
      • Data Backups: Set up a backup solution using Proxmox Backup Server or another backup tool.
      • Home Automation: Deploy home automation platforms like Home Assistant.
      • Security Monitoring: Install security monitoring tools.
      • AI Models: Use containers or VMs to run AI workloads.

Step 5: Testing and Optimization

  1. Perform Initial Tests:
    • Verify that all services are running as expected.
    • Test network connectivity and performance.
  2. Optimize Resource Allocation:
    • Adjust resource allocation for VMs and containers based on performance requirements.
    • Monitor system performance and make adjustments as needed.

Roadmap for Future Expansion

Short-term Expansion (6-12 months)

  1. Add More Units:
    • Depending on the growth of the business and the demand for services, add more MINISFORUM UM690S units to the cluster.
    • Each additional unit can be integrated into the existing Proxmox VE cluster, providing seamless scalability.
  2. External GPU Integration:
    • Consider integrating external GPUs via USB4 for enhanced AI capabilities.
    • Evaluate options for distributed GPU frameworks to leverage multiple GPUs across the cluster.

Long-term Expansion (1-2 years)

  1. Upgrade Network Infrastructure:
    • Upgrade to 10Gbps network infrastructure if needed, using the existing USB4 to 10Gbps capabilities.
  2. Explore Hybrid Solutions:
    • As the business grows, consider hybrid solutions that combine on-premises mini PCs with cloud services for additional flexibility and scalability.
  3. Energy Efficiency and Operational Costs:
    • Monitor energy consumption and operational costs.
    • Evaluate options for optimizing energy efficiency to reduce long-term costs.

Conclusion

The MINISFORUM UM690S Mini PC provides a cost-effective, scalable, and high-performance solution for building a home lab and small data center. With a robust initial setup and a clear roadmap for future expansion, this system can support the needs of a growing startup while offering flexibility and reliability. The Proxmox VE platform enhances these capabilities with powerful virtualization and high availability features, making it an ideal choice for deploying and managing a wide range of services.


Appendix

Combined Score Calculation:

The formula for the combined score is: [ \text{Combined Score} = (\text{Total Compute Score} \times 0.6) + (\text{Total Network Speed Score} \times 0.2) + (\text{Upgradeability Score} \times 0.2) ]

Calculating Each System's Combined Score:

1. Custom Built Server

  • Total Compute Score: 27,004.6 (sum of CPU and GPU scores)
  • Total Network Speed Score: 1 (NIC) + 0 (USB 4/C) = 1
  • Upgradeability Score: 22 (RAM) + 8 (RAM slots) + 1 (PCIe slots) = 31
  • Combined Score: (27,004.6 * 0.6) + (1 * 0.2) + (31 * 0.2) = 16,202.76 + 0.2 + 6.2 = 16,209.16

2. MINISFORUM UM690S Mini PC (4 units)

  • Total Compute Score: 88,000 (CPU) + 16,000 (GPU) = 104,000
  • Total Network Speed Score: 10 (NIC) + 40 (USB 4/C) = 50
  • Upgradeability Score: 32 (RAM) + 16 (RAM slots) = 48
  • Combined Score: (104,000 * 0.6) + (50 * 0.2) + (48 * 0.2) = 62,400 + 10 + 9.6 = 62,419.6

3. MINISFORUM UM790 Pro Mini PC (2 units)

  • Total Compute Score: 47,000 (CPU) + 10,000 (GPU) = 57,000
  • Total Network Speed Score: 5 (NIC) + 20 (USB 4/C) = 25
  • Upgradeability Score: 16 (RAM) + 8 (RAM slots) = 24
  • Combined Score: (57,000 * 0.6) + (25 * 0.2) + (24 * 0.2) = 34,200 + 5 + 4.8 = 34,209.8

4. MINISFORUM UM690 Pro Mini PC (3 units)

  • Total Compute Score: 66,000 (CPU) + 12,000 (GPU) = 78,000
  • Total Network Speed Score: 7.5 (NIC) + 30 (USB 4/C) = 37.5
  • Upgradeability Score: 24 (RAM) + 12 (RAM slots) = 36
  • Combined Score: (78,000 * 0.6) + (37.5 * 0.2) + (36 * 0.2) = 46,800 + 7.5 + 7.2 = 46,814.7
  • Total Compute Score: 90,000 (CPU) + 5,000 (GPU) = 95,000
  • Total Network Speed Score: 12.5 (NIC) + 50 (USB 4/C) = 62.5
  • Upgradeability Score: 40 (RAM) + 20 (RAM slots) = 60
  • Combined Score: (95,000 * 0.6) + (62.5 * 0.2) + (60 * 0.2) = 57,000 + 12.5 + 12 = 57,024.5

6. CyberGeek Mini PC (4 units)

  • Total Compute Score: 72,000 (CPU) + 4,000 (GPU) = 76,000
  • Total Network Speed Score: 10 (NIC) + 40 (USB 4/C) = 50
  • Upgradeability Score: 32 (RAM) + 16 (RAM slots) = 48
  • Combined Score: (76,000 * 0.6) + (50 * 0.2) + (48 * 0.2) = 45,600 + 10 + 9.6 = 45,619.6

7. KAMRUI Mini PC (4 units)

  • Total Compute Score: 72,000 (CPU) + 4,000 (GPU) = 76,000
  • Total Network Speed Score: 10 (NIC) + 40 (USB 4/C) = 50
  • Upgradeability Score: 32 (RAM) + 16 (RAM slots) = 48
  • Combined Score: (76,000 * 0.6) + (50 * 0.2) + (48 * 0.2) = 45,600 + 10 + 9.6 = 45,619.6