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.
This article provides a detailed walkthrough of the complete process for PC hardware tuning and game performance optimization. First, it describes overclocking the graphics card using MSI Afterburner. While this increases the frequency, performance gains are limited by other bottlenecks and remain insignificant. Second, it covers optimizing Samsung SSD performance using SAMSUNG Magician, along with monitoring disk health and read/write speeds using CrystalDiskInfo and HDTune Pro. Regarding game settings, the article focuses on solutions for four common bottlenecks: for VRAM exhaustion, it recommends reducing render distance and texture quality to free up VRAM; for poor visuals, such as in Minecraft, it suggests installing third-party shader packs; for CPU bottlenecks, it advises enabling DLSS to utilize idle GPU power for frame generation; and for GPU bottlenecks, it recommends enabling DLSS or FSR while appropriately lowering settings like anti-aliasing. Additionally, the article suggests prioritizing the DirectX rendering engine. Finally, it emphasizes the importance of monitor calibration, including enabling HDR mode appropriately based on the display type (LCD, MiniLED, or OLED), adjusting SDR content brightness, enabling GSync to prevent tearing, and performing HDR calibration to achieve the best visual experience and smooth game frame rates.
Traditional PC games, constrained by their standalone architecture, suffer from several pain points: large games must be repeatedly downloaded across multiple devices, insufficient disk space forces frequent uninstallation and reinstallation, system reinstalls require cumbersome reconfiguration, and performance disparities between devices lead to fragmented user experiences. This article advocates for a modern architecture that separates storage, computation, and display: game data is centrally stored on a NAS or server, a high-performance host handles rendering and computation, and streaming technology transmits the video feed to portable display devices such as tablets or smartphones. This solution not only eliminates bandwidth waste and hard drive anxiety but also enables users to enjoy top-tier hardware performance on any terminal. Specific implementation recommendations include building a 10 Gbps wired network environment based on NFS or SMB protocols; the storage end can utilize a RAID6 hard drive array paired with NVMe caching, the computation end only requires a small-capacity solid-state drive for the operating system, and the display end connects via tools like Moonlight. Although this architecture requires slightly more complex initial setup, it completely eliminates the hassle of managing games across multiple devices, allowing users to run high-quality games smoothly in scenarios such as bed or on the go, making it an efficient solution for enhancing the gaming experience.