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Digital Twin Journey: Computer Vision AI Model Enhancement with Dell Technologies Solutions & NVIDIA Omniverse
Introduction Business considerations Solution overview Partner overview Solution architecture overview
Solution architecture overview
Physical architecture
Computing
Applications and Virtualized Infrastructure
Use case validation Conclusions References

Physical architecture

Home > Workload Solutions > Computer Vision > White Papers > Digital Twin Journey: Computer Vision AI Model Enhancement with Dell Technologies Solutions & NVIDIA Omniverse > Physical architecture

Physical architecture

  • Figure 8. Digital Twin foundation Architecture for Computer Vision Workloads
    This diagram shows the components that make up the Digital Twin foundation Architecture for Computer Vision Workloads

    In the above diagram, we deployed a single Dell Power Edge 760xa node with 4x NVIDIA L40 GPUs that were configured and managed by VMware vSphere suite. Physical GPU resources were partitioned with NVIDIA vGPU software and assigned to VMs that were configured to provide various functionalities, such as 3D modeling framework, 3D simulations, SDG, and CV AI model development such as NVIDIA Omniverse and NVIDIA TAO.