Workstation for Upscayl
Upscayl is a free open source AI image upscaler designed to enlarge and enhance low-resolution images. It uses AI models based on Real-ESRGAN adn the Vulkan framework to add detail and improve image quality while supporting workflows across Windows, Linux, and macOS.
An Upscayl workstation is useful for photographers, digital artists, designers, content creators, and professionals who regularly enhance large numbers of images. The software can process individual images or batch workloads, making GPU perfomance and important consideration for users working with large image collections or frequent upscaling tasks.
- AMD Ryzen Processor
- DDR5
- NVIDIA GPU
- Ryzen Edition Workstation for Upscayl
Configure your Cloud Ninjas Workstations for Upscayl Ryzen Edition
Cloud Ninjas Optimized Hardware for Upscayl Ryzen Edition
Upscayl is a free and open-source AI image upscaler that uses AI models to enlarge and enhance low-resolution images. Its current implementation uses Real-ESRGAN and Vulkan-based processing to perform image upscaling locally on compatible hardware. Upscayl is designed for improving images that are low resolution or pixelated, although it is not intended to recover detail from severely blurred or out-of-focus photographs.
Fast storage can improve the responsiveness of image-heavy workflows by providing quick access to source images, AI models, temporary files, and upscaled output. NVMe SSD storage is particularly usefulwehnworking with large image collectoins or maintaining multiple AI models locally. Storage capacity should be selected according ot the size of your image library, number of AI models, and volume processed output rather than a fixed requirement from Upscayl.
Upscayl supports custom NCNN models in addition to its included models. Usres can add compatible model files through the appliocaton's custom model settings, allowing the to experiment with additional AI upscaling models and workflows.
Upscayl Workstation for Image Enhancement
Upscayl provides a local workflow for AI-powered image upscaling, making it useful for photographers, artists, designers, and other users who regularly enhance image resolution. Because the application relies on Vulkan-compatible GPU processing, workstation configurations can be selected around the graphics hardware needed for your expected image-processing workload.
Cloud Ninjas Workstations for Upscayl Ryzen Edition Specifications
While Upscayl relies primarily on GPU acceleration, the CPU is responsible for managing file I/O, preprocessing, and post-processing. Strong multi-core performance improves efficiency when handling batch jobs, while good single-core performance enhances overall system responsiveness during active workflows.
| CPU | Cores & Threads | Base Clock | Turbo Clock |
|---|---|---|---|
| AMD Ryzen 7 9700X | 8C/16T | 3.80 GHz | 5.50 GHz |
| AMD Ryzen 7 9800X3D | 8C/16T | 4.70 GHz | 5.20 GHz |
| AMD Ryzen 9 9900X | 12C/24T | 4.40 GHz | 5.60 GHz |
| AMD Ryzen 9 9900X3D | 12C/24T | 4.40 GHz | 5.50 GHz |
| AMD Ryzen 9 9950X | 16C/32T | 4.30 GHz | 5.70 GHz |
| AMD Ryzen 9 9950X3D | 16C/32T | 4.30 GHz | 5.70 GHz |
GPU acceleration is the primary performance driver in Upscayl, as AI-based image enhancement models run on the GPU. A workstation GPU with strong compute capability and adequate VRAM enables faster upscaling, supports higher-resolution images, and allows for smoother batch processing. Increased VRAM capacity is especially important for handling large images or multiple concurrent tasks without memory limitations, directly improving performance in professional AI-driven imaging workflows.
Upscayl can process multiple images as part of a batch workflow, making it useful for users who need to enhance larger collections of photographs, artworks, or other image assets. Processing requirements will vary depending on image resolution, selected model, scaling factor, and the number of images being processed.
| GPU | VRAM | GPU Clock | Memory Clock |
|---|---|---|---|
| NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 96GB GDDR7 | 1750 MHz | 2617 MHz |
| NVIDIA RTX PRO 6000 Blackwell Max Q Workstation Edition | 96GB GDDR7 | 2280 MHz | 1750 MHz |
| NVIDIA RTX PRO 5000 Blackwell | 48GB GDDR7 | 2377 MHz | 1750 MHz |
| NVIDIA RTX PRO 4500 Blackwell | 32GB GDDR7 | 2407 MHz | 1750 MHz |
| NVIDIA 6000 ADA Generation | 32GB GDDR6 | 2505 MHz | 2500 MHz |
| NVIDIA RTX 5090 | 32GB GDDR7 | 1750 MHz | 2407 MHz |
| NVIDIA RTX 5000 ADA Generation | 32GB GDDR6 | 2550 MHz | 2250 MHz |
| NVIDIA RTX 4500 ADA Generation | 24GB GDDR6 | 2580 MHz | 2250 MHz |
| NVIDIA RTX 4000 ADA Generation | 20GB GDDR6 | 2175 MHz | 2250 MHz |
| NVIDIA RTX 5080 | 16GB GDDR7 | 1875 MHz | 2617 MHz |
| NVIDIA RTX 5070 Ti | 16GB GDDR7 | 1750 MHz | 2452 MHz |
| NVIDIA RTX 5070 | 12GB GDDR7 | 1750 MHz | 2512 MHz |
| NVIDIA RTX 5060 Ti | 16GB GDDR7 | 1750 MHz | 2572 MHz |
| NVIDIA RTX A1000 | 8GB GDDR6 | 1462 MHz | 1500 MHz |
| NVIDIA RTX A400 | 4GB GDDR6 | 1762 MHz | 1500 MHz |
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