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Server Motherboard
Server motherboards for demanding applications come in form factors: EEB/E-ATX/ATX/microATX/mini-ITX.
Workstation Motherboard
Professionals that work in AI, animation, and data science rely on solid, scalable, and performant workstation boards.
Rack Server
Innovation and performance are in these optimal rack servers to be deployed in data centers with demanding applications.
GPU Server
Scalable parallel computing GPU dense servers that are built for high performance.
High Density Server
Compute, Storage, and Networking are possible in high density, multi-node servers at lower TCO and greater efficiency.
Direct Liquid Cooling
Ensure peak performance in all configurations. Adopt direct-to-chip liquid cooling for the rising AI/HPC era.
Data Center - OCP
Based on OCP Open Rack Standards, barebone racks and nodes for datacenters.
x86
Tried and true x86 architecture based servers with support for the latest Intel and AMD processors.
ARM Server
Arm architecture servers will compete in Cloud to Edge as they tackle compute-bound workloads.
AI Platform
Processing power, large amounts of data, fast networking, and accelerators all bundle into a scale out ready HPC and/or AI server solution.
Visual Computing
Systems that do visual applications from computer graphics to computer animation rely on visual computing servers.
High-Performance Computing Server
Processing power, large amounts of data, fast networking, and accelerators all bundle into a scale out ready HPC and/or AI server solution.
Hyper-Converged Server
Software defined cluster of nodes can be dedicated for compute, storage, networking, or virtualization.
Storage Server
Capacity, reliability, and storage flexibility are built into these storage servers for enterprise and datacenters.
Network Server
Securely manage the use of files and applications for office environments while storing large amounts of data.
Edge Server
Real time data processing at the source is required for edge computing with reduced latency for Internet of Things (IoT) and 5G networks as they use cloud.
e-Mobility
Telematics and Edge computing platform for Electric vehicle, Autonomous driving, ADAS, ITS, and V2X applications
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Solutions
Seek Solutions & Frequently Asked Questions (FAQ)
How to find which program is now running by NVIDIA GPU?
FAQs
How to find which program is now running by NVIDIA GPU? Please follow the instruction below: Right click on the desktop and select [NVIDIA Control Panel]. Select [View] or [Desktop] (the option varies by driver version) in the tool bar then check [Display GPU Activity Icon in Notification Area].
How do I know what program is using my GPU? ›
When a graphics-intensive application is running, open Task Manager > Right-click the top line (CPU, Memory, RAM) > Check "GPU Engine" > Look which GPU shows on the graphics-intensive process (GPU 0, GPU 1). To know which GPU is GPU 0 or GPU 1, check the Performance tab (second icon on the left).
How to check which GPU is running? ›
Open the Start menu or the desktop search bar, start typing task manager, and select it when the option appears. You can also press Ctrl + Alt + Del on your keyboard and click Task Manager on the list that appears. On the Task Manager window, click Performance and select GPU.
How do I check my Nvidia GPU settings? ›
NVIDIA Graphics Card Settings
- Right-click on your computer's desktop and select 'NVIDIA Control Panel. ...
- Under Select a Task select 'Manage 3D Settings. ...
- Select the 'Global Settings tab' and choose 'High-performance NVIDIA processor' under the preferred graphics processor drop-down bar.
A: Right-click on your desktop and select NVIDIA Control Panel. From the NVIDIA Control Panel menu, select Help > System Information. The driver version is listed at the top of the Details window.
Where to find nvidia GPU? ›
If NVIDIA driver is installed:
- Right click the desktop and open NVIDIA Control Panel.
- Click System Information in the bottom left corner.
- In the Display tab your GPU is listed in the Components column.
From the NVIDIA Control Panel Select a Task pane, under Workstation, click Manage GPU Utilization.
How do I make sure my PC is using my GPU? ›
How do I set my GPU to run my applications and games? Verify in Device Manager/Display Adapters if Discrete Graphics Card is grayed out. Make sure to enable it in the BIOS settings or video card settings. Connect the video cable to the Discrete Graphics Card's port instead of the motherboard's back panel.
How to know if a process is using GPU? ›
A useful tool you can use for this task is the Linux watch command. For example, the watch -n 2 nvidia-smi --id=1 will run the nvidia-smi --id=1 command every two seconds thus automatically providing updated measures of GPU utilization and memory every two seconds. To quit the watch command you can do Ctrl-C.
How to check GPU using run command? ›
Press Win + R to open the Run dialog, type dxdiag, and press Enter. In the DirectX Diagnostic Tool, go to the “Display” tab to view information about your GPUs.
Right-click "This PC", click "Properties", open "Device Manager", select the corresponding graphics card under "Display adapters" and right click, select "Properties", select "Driver", check the 5th-9th bit of "Driver Version", if it is smaller than 4.5239, you need to upgrade.
How to activate nvidia GPU? ›
If the OS does not have a GPU preference for an application, then you can specify the preferred graphics processor to use from the NVIDIA Control Panel > Manage 3D Settings > Preferred graphics processor setting.
How do I open Nvidia program settings? ›
From the Windows Start menu, select Control Panel, then in the Control Panel window, double‐click the NVIDIA Control Panel icon.
How to check nvidia GPU command line? ›
Content
- Content. Command line to monitor GPU utilization using NVSMI. On Windows open cmd.exe shell. nvidia-smi.exe. cd:\"Program Files"\"NVIDIA Corporation"\NVSMI. nvidia-smi.exe -q -d utilization -l. −q Display GPU or Unit info. ...
- GPU Utilization using NVSMI.
- GPU-Utilization-using-NVSMI.
- 000001354.
Click on the “Performance” tab in the Task Manager.
- Select “GPU” from the left-hand menu to view the GPU usage of all running processes.
- By default, the Task Manager displays the GPU usage of processes in descending order of usage.
Checking Whether Your Code is Running on the GPU
- import torch if torch. ...
- import torch if torch. ...
- library(tensorflow) if (tf$test_gpu_available()) { print("GPU is available") } else { print("GPU is not available") }
- Open Task Manager:Right-click on the taskbar. Select "Task Manager" from the context menu. ...
- Go to the "Performance" Tab:In Task Manager, click on the "Performance" tab.
- Select GPU:On the left sidebar, select "GPU" from the list.
- View VRAM Usage:Look for the "Dedicated GPU memory" or "Dedicated GPU memory usage" section.
To view the nVidia GPU usage:
1. Click on Show hidden icons on the Taskbar. 2. Click on the nVidia GPU Activity icon to view applications currently using the nVidia GPU.
