If you are interested in image super resolution reconstruction, then you have likely heard of SwinIR. SwinIR is an image restoration model based on the Swin Transformer that achieves state of the art performance in tasks such as classical/lightweight/practical image super resolut...
Step 1 Confirm Device is Found First, confirm that your Nvidia GPU is detected by the system: bash $ sudo lspci grep NVIDIA 01:00.0 3D controller: NVIDIA Corporation GP104GL [Tesla P4] (rev a1) Step 2 Install Drivers For Desktop: List available drivers: bash sudo ubuntu drivers l...
Install CUDA To install CUDA, download it here: https://developer.nvidia.com/cuda toolkit archive. I downloaded 11.8.0. Don't forget, you also need to decide which version of CUDA to install. Not all CUDA supports all driviers. First you need know the verison of the driver via nv...
This article details the configuration and deployment process for vGPU in a VMware Horizon environment. First, disable cluster DRS/DPM to prevent migration deadlocks. Then, add Q/C series vGPU devices that support CUDA to the virtual machine in VCenter. When installing GRID drivers on the Linux client, you must use deb/rpm packages instead of the runfile. Configure `gridd.conf` and the license Token, and verify the authorization status using `nvidia-smi`. When installing CUDA, strictly avoid using the system package manager. You must install it via the runfile and uncheck `cuda-driver` to prevent overwriting the GRID drivers. Finally, manually configure the PATH environment variable. To ensure cross-host migration capability, plan the GPU memory splitting scheme in advance (such as 1/8 or 1/3 splits), enable the `vGPU.hotmigrate.enabled` option, and ensure that BIOS settings on all hosts (such as ECC, IO MMU, and SR-IOV) remain consistent. After configuration is complete, you can install cuDNN for AI model training or utilize `h264_nvenc` for video hardware-accelerated encoding. Additionally, the article introduces methods for monitoring temperature via `nvidia-smi` to optimize fan noise, and provides a troubleshooting guide for driver version conflicts, license expiration, and BIOS configuration errors, aiming to help users build a stable and efficient GPU computing environment.