In general computing scenarios such as deep learning and AI scenarios, GPU-accelerated instances installed with NVIDIA Tesla drivers can deliver high-performance computing capabilities. When you create GPU-accelerated compute-optimized Windows instances, the instances do not support the automatic installation of Tesla drivers. You can only manually install Tesla drivers on the instances by following the instructions in this topic.
Procedure
This topic is suitable for all GPU-accelerated compute-optimized Windows instances. For more information, see GPU-accelerated compute-optimized instance families.
Step 1: Download a Tesla driver
Connect to your GPU-accelerated compute-optimized Windows instance.
For more information, see Connect to a Windows instance by using a password or key.
On your remote desktop, visit the NVIDIA drivers download page.
NoteFor more information about how to install and configure an NVIDIA driver, see NVIDIA CUDA Installation Guide for Linux.
Configure filters and click Search to search for a driver that is suitable for your instance.
The following table describes the filters.
Filter
Description
Example value
Product Type
Product Series
Product
Select values from the Product Type, Product Series, and Product drop-down lists based on the GPU of your GPU-accelerated compute-optimized instance.
NoteFor more information about how to view the details of a GPU-accelerated instance, such as the instance ID, instance type, and OS, see View instance information.
Data Center / Tesla
A-Series
NVIDIA A10
Operating System
Select a Windows version based on the image of the instance.
Windows 10 64-bit
CUDA Toolkit
Select a CUDA Toolkit version.
11.2
Language
Select a language for the driver.
Chinese (Simplified)
On the search result page, click Show More Versions.
Find the driver that you want to download and click View.
In this example, the Data Center Driver for Windows driver is selected. The driver version is 462.31 and the CUDA Toolkit version is 11.2.
On the driver details page, click Download.
Step 2: Install the Tesla driver
Open the folder where the driver installation package is stored and double-click the installation package.
Follow the on-screen instructions to install the driver.
After the driver is installed, you can restart the GPU-accelerated instance based on your business requirements. For more information, see Restart an instance.
ImportantWindows Remote Desktop Protocol (RDP) does not support specific applications, such as DirectX and Open Graphics Library (OpenGL) applications. After a Tesla driver takes effect for a Windows instance, you must install the Virtual Network Computing (VNC) service and client, or use remote access clients that support protocols such as PC over IP (PCoIP) or XenDesktop HDX 3D to support the applications.
In the lower-left corner of your remote desktop, type Device Manager in the search box and then press Enter.
On the Device Manager page, click Display adapters to check whether the driver is installed.
If the information about the Tesla driver appears, such as NVIDIA A10, the Tesla driver is installed.
References
If you purchase a GPU-accelerated compute-optimized Linux instance, you can install a Tesla driver to enhance the performance of the instance in general computing scenarios, such as deep learning and AI scenarios. For more information, see Automatically install or load a Tesla driver when you create a GPU-accelerated instance or Manually install a Tesla driver on a GPU-accelerated compute-optimized Linux instance.
If you no longer require a Tesla driver due to a specific reason, you can uninstall the driver. For more information, see Uninstall an NVIDIA Tesla driver.
If the driver version of your GPU-accelerated instance cannot meet your business requirements, or your GPU-accelerated instance becomes unavailable due to an invalid driver type or version, you can uninstall the driver and then install a new driver. You can also upgrade the driver. For more information, see the "Upgrade an NVIDIA Tesla driver" section of the Upgrade an NVIDIA Tesla or GRID driver topic.