A detailed AI server rack visualization model inspired by the NVIDIA Vera Rubin / VR200 NVL72 platform.
The rack combines a black cabinet with metallic front hardware, stacked server trays, ventilation patterns, and connector details. Created using a CAD-based modeling workflow, it is designed for detailed still renders, technical illustrations, and animation projects within the applicable license terms.
Features include:
- Detailed rack assembly in the configuration shown in the previews.
- Modeled front-panel hardware, ventilation, and port details.
- Materials included in the GLB files.
- Multiple exchange formats for different visualization workflows.
GLB is the recommended format for this model.
The GLB files package the model with its exported materials and baked textures in a single file, making them a convenient starting point for importing the asset.
Two GLB versions are included:
- Standard GLB: Exported without Draco mesh compression. Recommended for general importing.
- Draco-compressed GLB: A smaller file for applications and viewers that support Draco mesh compression.
If your application cannot open the compressed version, please use the standard GLB.
Additional formats included:
Material appearance may vary between applications and renderers. The exported GLB materials are converted from the original rendering setup and may require adjustments to achieve your preferred look.
This is a detailed, CAD-derived mesh intended primarily for rendering and visualization. Draco compression reduces file size; it does not turn the model into a low-poly asset. Real-time, mobile, or large multi-rack scenes may require additional optimization.
The studio environment, lighting, and post-processing shown in the preview images are not included. This is a visualization asset, not a manufacturing CAD model.
This independently created model is not an official NVIDIA asset. Use is subject to the Editorial Use terms shown on this listing and any necessary third-party permissions.
For assistance with file importing or format selection, please contact me through TurboSquid.
