11/7/2023 0 Comments Nvidia power management mode cmd![]() Run the following command to view the switches: nvidia-smi vgpu -hĪnother common switch I use on the ESXi host with vGPU for troubleshooting is: “nvidia-smi -q”, which provides lots of information on the physical GPU in the host: :~] nvidia-smi -q There are also a number of switches you can throw at this to get even more information on vGPU including scheduling, vGPU types, accounting, and more. This command shows information on the vGPU instances currently provisioned. | vGPU ID Name | VM ID VM Name | vGPU-Util | The above would refresh and loop “nvidia-smi” every 3 seconds.įor vGPU specific information from the ESXi host, you can run: nvidia-smi vgpu :~] nvidia-smi vgpu vGPU Type (C+G means Compute and Graphics)Īdditionally, instead of running once, you can issue “nvidia-smi -l x” replacing “x” with the number of seconds you’d like it to auto-loop and refresh.The following pieces of information are helpful: This will aid with troubleshooting potential issues specific to the host or the VM. | GPU GI CI PID Type Process name GPU Memory | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. This usage will also provide information like fan speeds, temperatures, power usage and GPU utilization. When you launch “nvidia-smi” on the ESXi host, you’ll see information on the physical GPU, as well as the VM instances that are consuming a virtual GPU (vGPU). To use “nvidia-smi” on your VMware ESXi host, you’ll need to SSH in and/or enable console access. Simply running the command with no switches or flags, allow you to query and pull basic information on your vGPU, or multiple vGPUs.įor a list of available switches, you can run: “nvidia-smi -h”. This CLI program allows you to monitor, manage, and query your NVIDIA vGPU (including non-vGPU GPUs). The NVIDIA vGPU driver comes with a utility called the “NVIDIA System Management Interface”. ![]() vGPU Profiles Missing from VMware Horizon.vGPU or Passthrough with 16GB+ of Video RAM Memory.Using the “VMware Horizon Performance Monitor”īelow is a list of problems and issues I commonly see customers experience or struggle with in their vGPU enabled VMware environments.Please click on an item below which will take you directly to the section in this post. ![]() Troubleshooting Indexīelow, you’ll find a list of my most commonly used troubleshooting methods. While the solution works beautifully, when deployed incorrectly or if the solution isn’t maintained, issues can occur requiring troubleshooting and remediation.Īt the end of this blog post, you’ll find some additional (external) links and resources, which will assist further in troubleshooting. These virtual machines and containers can then use these vGPU’s to provide accelerated workloads including VDI (Virtual Desktop Infrastructure), AI (Artificial Intelligence), and ML (Machine Learning). NVIDIA vGPU Installed in VMware ESXi Host ![]()
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