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CV0-003 · Question #558

An organization purchased new servers with GPUs for render farms. The servers have limited CPU resources. Which of the following GPU configurations will be the MOST optimal for virtualizing this…

The correct answer is D. vGPU. vGPU allows multiple virtual machines to simultaneously share a single physical GPU with dedicated slices, making it the most efficient option for a multi-VM render farm where CPU is limited but GPU throughput is critical.

Cloud Architecture and Design

Question

An organization purchased new servers with GPUs for render farms. The servers have limited CPU resources. Which of the following GPU configurations will be the MOST optimal for virtualizing this environment?

Options

  • ADedicated
  • BShared
  • CPassthrough
  • DvGPU

How the community answered

(31 responses)
  • A
    6% (2)
  • B
    3% (1)
  • C
    13% (4)
  • D
    77% (24)

Why each option

vGPU allows multiple virtual machines to simultaneously share a single physical GPU with dedicated slices, making it the most efficient option for a multi-VM render farm where CPU is limited but GPU throughput is critical.

ADedicated

Dedicated GPU assigns an entire physical GPU to a single VM, which wastes GPU resources when multiple render VMs need simultaneous access.

BShared

Shared GPU typically refers to a software-based time-slicing approach with no resource guarantees, resulting in contention and inconsistent render performance.

CPassthrough

GPU passthrough (PCIe passthrough) grants exclusive ownership of a physical GPU to one VM, making it unavailable to other VMs and unsuitable for a multi-VM render farm.

DvGPUCorrect

vGPU technology (such as NVIDIA vGPU) partitions a physical GPU into multiple virtual GPU instances, each assigned to a separate VM with guaranteed compute and memory resources. This allows many render VMs to use GPU acceleration concurrently without requiring a dedicated physical GPU per VM. Because CPU resources are limited, offloading rendering to shared GPU slices maximizes hardware utilization across the virtualized environment.

Concept tested: vGPU virtualization for multi-VM GPU workloads

Source: https://docs.nvidia.com/grid/latest/grid-vgpu-user-guide/index.html

Topics

#vGPU#GPU virtualization#render farm#resource sharing

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