Added notes on evalution topics of Scalability, Clustering, and the concept of machine/node roles [compute, AI, storage, network]

2024-06-22 20:10:16 -06:00
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@@ -47,6 +47,10 @@ This analysis will cover:

 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.

+### Hardware Roles
+
+Mini PCs are a great **compute** node (cores and ram). **AI** nodes and **storage** nodes will benefit from more traditional form factors. **Network** roles will benefit from network port expandibility. For clustered Mini-PCs, the more ports the better. Dual Thunderbolt-4 / USB-4 ports will allow for a 40Gbps ring network topology, and 2.5G ports for external connectivity. 
+
 ### Metric Calculation

 The main metrics used in this analysis are:
@@ -103,6 +107,8 @@ The startup aims to leverage the low-cost, high-speed internet available to its
 - **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.
+- **Scalable:** Mini PCs offer a more granular scalability being more cost effective.
+- **Clustring:** High-availability is based on an odd node membership starting at 3.

 ### Initial Custom Build