This guide serves as a starting point for right sizing your enterprise deployments for knowledge workers. When sizing a knowledge worker VDI deployment with NVIDIA vGPU, NVIDIA recommends conducting a POC and thoroughly analyzing resource utilization using objective measurements.
NVIDIA recommends the A16 GPU for the majority of knowledge worker use cases utilizing NVIDIA vPC. If a customer is considering using L40/L40S or L4 for specific workloads, it’s essential to note that the framebuffer footprint will be higher compared to A16s. Therefore, before implementing these alternatives, it is advisable to conduct a POC to gain a better understanding of the performance.
In our testing, we achieved a scale of 128 across 2 GPUs with NVIDIA A16, our recommended GPU for NVIDIA vPC. Mileage may vary depending on the applications you are using, and since workloads differ, we recommend conducting a POC to get the best results for your use case.
The best effort scheduler option is recommended for enterprise deployments, and user density will be dependent on the hardware configuration, user profile, workloads and display resolution.
To see how you can virtualize digital knowledge worker workloads using NVIDIA vPC software, try it for free.