Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
ClusterDesign.org is a high-performance computing and data center design site formerly maintained by Konstantin S. Solnushkin. Its core assets are Cluster Design Tools and SADDLE. It is not a general-purpose developer tool, but rather a specialized engineering/CAD-oriented toolkit for early-stage design and estimation of infrastructure such as HPC clusters, Hadoop clusters, and Web server farms.
The site describes SADDLE as a Python-based scripting language for automating the design of cluster supercomputers and data centers. It can analyze hardware price/performance ratios, design interconnect networks and power systems, place equipment into racks and generate data center floor layouts, and automatically calculate capital and operating costs. The site also covers topics such as fat-tree, Ethernet fat-tree, torus networks, UPS sizing, performance models, and floorplanning. The floorplanning module can calculate room length and width, area, and rack layout formulas based on rack count, dimensions, aisle width, and maximum continuous rack row length, and can output machine-readable results.
Cluster Design Tools has included source code since version 0.8.4. The tools are released under the GNU GPL, while the Web services are released under the GNU Affero GPL. Version 0.8.5 is the final release, mainly adding compatibility with Python 3.4.2 and later. The text also notes that the fat-tree design tool is written in Object Pascal. Users can download the release package and run it locally, then access the relevant modules through a browser, providing a basis for self-hosting and secondary modification.
The text does not mention commercial pricing, subscriptions, or paid support. Judging by the GPL/AGPL licensing, it is primarily intended for free and open-source use. The biggest issue is that the author explicitly stopped maintaining it in 2015, closed comments, and no longer provides HPC advice. As a result, its support score is very low, and users must independently verify the hardware database, pricing, protocol practices, and engineering assumptions.
Its strengths are that it covers multiple dimensions of HPC cluster design, including networking, power, racks, data center area, and cost, while also providing a fair amount of engineering explanation and examples. Its weaknesses are the long period without updates and the uncertainty around compatibility with modern hardware, networking equipment, and Python environments. It is suitable for HPC researchers and cluster architects as historical material, an algorithm reference, or a starting point for further development. It is not suitable for production teams looking for an out-of-the-box, continuously updated solution with vendor-grade support.
The text does not provide information about access from mainland China, mirrors, payments, or localization, so its access status can only be considered unknown. For real-world projects, it is advisable to also evaluate current vendor tools, data center planning software, or in-house scripts as alternatives.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on clusterdesign.org official site.
clusterdesign.org is an Unknown Dev Tools provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach clusterdesign.org directly.