Solution Background

As the core of enterprise innovation, manufacturing design departments are facing increasing challenges in their digital transformation. Issues related to data security, remote collaboration, computing performance, and resource management are becoming more prominent. Traditional distributed architectures are no longer sufficient to meet the complex demands of modern design workflows.
To enhance design efficiency, collaboration, and asset protection, manufacturing design teams must adopt a centralized, virtualized, and intelligent architecture that supports innovation and competitiveness in the industry.

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Solution Overview

This solution centers on virtual GPU (vGPU) technology, deployed via an on-premises private cloud architecture, delivering a high-performance and secure 3D design and collaboration environment for engineering teams.
By virtualizing physical GPU resources into multiple independent vGPU instances and allocating them to virtual machines on demand, the solution meets the needs of complex 3D modeling, real-time rendering, and multi-location design review—while ensuring data security and resource efficiency.

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Key Advantages

  • Performance-Cost Balance: Compared to traditional GPU passthrough, vGPU utilization improves from 30–50% to over 80%, reducing hardware procurement costs and eliminating resource waste caused by under- or over-allocation.
  • Flexibility & Scalability: When adding new design teams or projects, new VMs and vGPU resources can be quickly provisioned via the private cloud, without additional hardware investment.
  • Hybrid Cloud Ready: Supports integration with public cloud resources for burst workloads (e.g., large-scale rendering tasks).
  • Industry Applicability: Well-suited for automotive (complex vehicle body design), aerospace (large assembly collaboration), and more. Lowers hardware entry barriers, allowing SMEs to access high-performance environments cost-effectively.

Customer Pain Points

  • Data Security Risks: Traditional decentralized storage makes local devices potential data leakage points. Opening network access for external collaboration further increases security risks.
  • Performance Bottlenecks: Large 3D models (e.g., automotive assemblies with tens of thousands of components) load slowly and render poorly in legacy VDI setups—cutting design efficiency by over 50%.
  • Collaboration Challenges: Cross-department and cross-region teams rely on file transfers and screen sharing. Syncing large models (e.g., 1GB) can take 30 minutes; review cycles may extend to 3 days.

Customer Benefits

  • Improved Design Efficiency: GPU acceleration doubles CATIA model loading speed. Rendering efficiency increases threefold. Remote multi-site design review reduced from 3 days to 4 hours
  • Cost Optimization: A single server supports 20+ designers. vGPU reduces workstation purchases, cutting hardware costs by 50%. Unified image management and automation cut IT labor by 30%
  • Enhanced Security: Data leakage risks reduced by 90% via end-to-end encryption and access controls Eliminates security risks in external collaboration scenarios
  • Boosted Collaboration: Enables seamless cross-departmental and cross-regional collaboration. Designers can access high-performance desktops anytime, anywhere. Increases team efficiency by 50%