The Two Best Customization Methods to Maximize BIM Efficiency
XASUN customizes workstations and servers by analyzing and designing industry-specific software features. Utilizing the latest IT technologies, they develop highly reliable, high-performance, cost-effective, and efficient graphics workstations and storage servers tailored to designers’ needs.
This approach aims to deliver a practical, cost-effective, and highly reliable XASUN graphics workstation and storage server solution, based on extensive research into building CAD, landscape design, and model file storage and sharing within the BIM industry.
The Optimal Tool for Enhancing BIM Efficiency Through Customized Workstations and Servers
BIM, or Building Information Modeling, is rapidly being adopted by design agencies transitioning from CAD. Just as CAD revolutionized hand-drawn plans, BIM represents a significant leap beyond CAD. In architectural design, BIM is essential to maintain competitiveness and technological advantage. Throughout BIM implementation, high-tech graphic workstations play a crucial role.
In practice, interior designers, landscape architects, and furniture designers often report difficulties running Revit during model construction, especially with large-scale integrated models. While IT technology advances rapidly with continuous innovation in high-performance graphics workstations and servers, many users face inefficiencies due to a mismatch between their application software and hardware.
Clients require graphic workstations capable of efficiently running BIM applications. Achieving this demands hardware experts or experienced technical engineers who understand the software’s characteristics and computational needs. They provide tailored workstation configuration plans to optimize performance, eliminating bottlenecks and technical shortcomings, and ensuring the equipment remains effective over time, reducing premature obsolescence and IT upgrade costs.
To meet these needs, workstation specialists analyze BIM industry applications in depth, identify software features, recommend effective hardware configurations, and strive to run Revit design software flawlessly and efficiently.
BIM Building Applications and Graphics Workstation Solutions
When creating and designing architectural and landscape models using BIM, every operation—such as creating, copying, scaling, shifting, rotating, rendering, and saving—depends on the workstation’s performance. Understanding CPU floating-point operations, GPU graphics processing, hard drive read/write speeds, storage server capacity via network, and IO data transfer between disks and network ports is essential to identify performance bottlenecks in the system.
Revit Software Processing and Workstation Hardware Requirements
As BIM applications grow in complexity and accuracy, model file sizes range from 10MB to 2GB. Memory and CPU are the primary considerations for workstation selection, followed by GPU performance, virtual memory (which significantly impacts overall software performance but is not visible during operation), and hard drive IO speed.
Model File Loading and Storage Process
Opening a model involves reading data from the hard drive, decompressing it through the CPU, and loading 3D graphics data into memory for editing. Typically, only one CPU core handles decompression and writing compressed data back to the hard drive during saving. If memory is insufficient, parts of the architectural model data must be stored in virtual memory, causing slow or even impossible editing. The memory required for a model file is typically about 20 times the file size.
Building Model Editing Process
Once loaded into memory, designers interact with the model through editing operations such as modifying, moving, transforming, and real-time display updates. The GPU is responsible for rendering these visual changes, reflecting its speed and capacity to handle graphics data. During this process, the CPU handles additional tasks, including 3D image generation and rendering. Revit supports multi-CPU and multi-core architectures, so higher CPU frequency and core counts improve performance. Recommended CPUs typically include Intel Xeon E3 (4-core) and Xeon 5600 series (4-core/6-core), representing advanced architectures. Generally, the CPU-to-memory ratio is 1:4.
GPU Requirements
According to software vendor recommendations, graphics cards should support DirectX 9.0 or higher. Professional graphics cards primarily utilize OpenGL. Revit supports Windows-based gaming cards, with Nvidia holding the largest market share, followed by ATI. Nvidia GeForce cards are preferred, with ATI cards requiring adjustments to match GeForce performance levels. Current Nvidia GeForce GTX cards use the Fermi architecture and include models such as GTX550, GTX560, GTX580, and GTX590.
The Critical Role of Hard Drives
Many users underestimate hard drives, viewing them merely as data storage devices. However, slow model editing operations—such as movement and scaling—are often due to slow virtual memory data exchanges during editing. This makes hard drive read/write performance crucial for high-end applications.
For very large and complex models, the time for reading from the hard drive and exchanging data with virtual memory becomes critical. Improving storage arrays is recommended. Although SSDs offer strong performance, professional workstations require enterprise-grade storage. Currently, Intel offers enterprise-grade SSDs like the X25-E 64MB, but they are costly, have limited capacities, and their read/write speeds (around 250-270MB/s) are insufficient. Notebook-grade SSDs have shorter lifespans compared to enterprise SSDs.
High-performance setups often use 8 SAS 15K+ hard drives with SAS2-RAID5 configurations, achieving read/write speeds of 1400MB/s and 900MB/s respectively. If memory is large enough, virtual memory can be allocated to a virtual hard drive, significantly improving performance, subject to software support.
Display Solutions
As model complexity grows, higher graphic display resolutions improve design processes. Typical single displays run at 1920 × 1080, while professional-grade displays reach 2560 × 1600. Multi-screen setups (such as 2×1, 3×1, 2×2) offer even higher resolution modes. However, increased resolution demands greater GPU processing power and more complex data handling.
Building Model Classification and Workstation Configuration
Model file sizes vary widely, resulting in different performance requirements for graphics workstations. Therefore, based on model size and scale, workstation capacity and computational specifications should be tailored accordingly.
Classification Table of Model Scale and Workstation Configuration
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