{"product_id":"cloud-ninjas-workstations-for-stable-diffusion-multi-gpu-edition","title":"Cloud Ninjas Workstations for Stable Diffusion Multi GPU Edition","description":"\u003cdiv class=\"subsection cpu-subsection\"\u003e\n\u003cdiv id=\"cpu-subsection-toggle\" class=\"sub-section-head\"\u003e\u003cspan class=\"sub-section-tl\"\u003eProcessor Specifications for Cloud Ninjas' Multi GPU Edition Stable Diffusion Workstation\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"subsection-information\"\u003e\n\u003cp\u003eStable Diffusion is primarily GPU-accelerated, but the CPU still plays an important supporting role in data preparation, prompt processing, image encoding\/decoding, and multi-instance orchestration. The application does not scale heavily with extreme core counts, but it benefits from strong multi-threaded performance when running multiple jobs, managing complex ComfyUI graphs, or handling parallel preprocessing tasks. This workstation’s CPU configuration is selected to maintain balanced system throughput so the GPUs remain fully utilized during professional generative workflows.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"table-section\"\u003e\n\u003cdiv class=\"cpu-compatibility-table\"\u003e\n            \u003ctable class=\"data-table\"\u003e\n                \u003cthead\u003e\n                    \u003ctr\u003e\n                        \u003cth\u003eCPU\u003c\/th\u003e\n                        \u003cth\u003eCores \u0026amp; Threads\u003c\/th\u003e\n                        \u003cth\u003eBase Clock\u003c\/th\u003e\n                        \u003cth\u003eTurbo Clock\u003c\/th\u003e\n                    \u003c\/tr\u003e\n                \u003c\/thead\u003e\n                \u003ctbody\u003e\n                    \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen Threadripper PRO 7965WX\u003c\/td\u003e\n                        \u003ctd\u003e24C\/48T\u003c\/td\u003e\n                        \u003ctd\u003e4.20 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.30 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                    \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen Threadripper PRO 7975WX\u003c\/td\u003e\n                        \u003ctd\u003e32C\/64T\u003c\/td\u003e\n                        \u003ctd\u003e4.00 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.30 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                    \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen Threadripper PRO 7985WX\u003c\/td\u003e\n                        \u003ctd\u003e64C\/128T\u003c\/td\u003e\n                        \u003ctd\u003e3.20 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.10 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                    \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen Threadripper PRO 7995WX\u003c\/td\u003e\n                        \u003ctd\u003e96C\/192T\u003c\/td\u003e\n                        \u003ctd\u003e2.50 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.10 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen Threadripper PRO 9965WX\u003c\/td\u003e\n                        \u003ctd\u003e24C\/48T\u003c\/td\u003e\n                        \u003ctd\u003e4.20 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.40 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen Threadripper PRO 9975WX\u003c\/td\u003e\n                        \u003ctd\u003e32C\/64T\u003c\/td\u003e\n                        \u003ctd\u003e4.00 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.40 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen Threadripper PRO 9985WX\u003c\/td\u003e\n                        \u003ctd\u003e64C\/128T\u003c\/td\u003e\n                        \u003ctd\u003e3.20 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.40 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen Threadripper PRO 9995WX\u003c\/td\u003e\n                        \u003ctd\u003e96C\/192T\u003c\/td\u003e\n                        \u003ctd\u003e2.50 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.40 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                \u003c\/tbody\u003e\n            \u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"subsection gpu-subsection\"\u003e\n\u003cdiv id=\"gpu-subsection-toggle\" class=\"sub-section-head\"\u003e\u003cspan class=\"sub-section-tl\"\u003eGraphics Card Specifications for Cloud Ninjas' Multi GPU Edition Stable Diffusion Workstation\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"subsection-information\"\u003e\n\u003cp\u003eStable Diffusion performance is heavily GPU-dependent, with VRAM capacity and tensor compute performance acting as primary bottlenecks. Modern diffusion models often require 12–24GB+ of VRAM for high-resolution or multi-adapter workflows. \u003cstrong\u003eWhile most Stable Diffusion pipelines do not pool VRAM across GPUs, they scale extremely well by running concurrent jobs per GPU, dramatically increasing total workstation throughput for professional AI production environments.\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"table-section\"\u003e\n\u003cdiv class=\"gpu-compatibility-table\"\u003e\n            \u003ctable class=\"data-table\"\u003e\n                \u003cthead\u003e\n                    \u003ctr\u003e\n                        \u003cth\u003eGPU\u003c\/th\u003e\n                        \u003cth\u003eVRAM\u003c\/th\u003e\n                        \u003cth\u003eGPU Clock\u003c\/th\u003e\n                        \u003cth\u003eMemory Clock\u003c\/th\u003e\n                    \u003c\/tr\u003e\n                \u003c\/thead\u003e\n                \u003ctbody\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX PRO 6000 Blackwell Workstation Edition\u003c\/td\u003e\n                        \u003ctd\u003e96GB GDDR7\u003c\/td\u003e\n                        \u003ctd\u003e1750 MHz\u003c\/td\u003e\n                        \u003ctd\u003e2617 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX PRO 6000 Blackwell Max Q Workstation Edition\u003c\/td\u003e\n                        \u003ctd\u003e96GB GDDR7\u003c\/td\u003e\n                        \u003ctd\u003e2280 MHz\u003c\/td\u003e\n                        \u003ctd\u003e1750 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX PRO 5000 Blackwell\u003c\/td\u003e\n                        \u003ctd\u003e48GB GDDR7\u003c\/td\u003e\n                        \u003ctd\u003e2377 MHz\u003c\/td\u003e\n                        \u003ctd\u003e1750 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX PRO 4500 Blackwell\u003c\/td\u003e\n                        \u003ctd\u003e32GB GDDR7\u003c\/td\u003e\n                        \u003ctd\u003e2407 MHz\u003c\/td\u003e\n                        \u003ctd\u003e1750 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n          \u003ctr\u003e\n                    \u003ctd\u003eNVIDIA RTX PRO 4000 Blackwell\u003c\/td\u003e\n                    \u003ctd\u003e24GB GGDR7\u003c\/td\u003e\n                    \u003ctd\u003e1590 MHz\u003c\/td\u003e\n                    \u003ctd\u003e1750 MHz\u003c\/td\u003e\n                  \u003c\/tr\u003e                  \n                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX 5090\u003c\/td\u003e\n                        \u003ctd\u003e32GB GDDR7\u003c\/td\u003e\n                        \u003ctd\u003e1750 MHz\u003c\/td\u003e\n                        \u003ctd\u003e2407 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n         \n                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX 5080\u003c\/td\u003e\n                        \u003ctd\u003e16GB GDDR7\u003c\/td\u003e\n                        \u003ctd\u003e1875 MHz\u003c\/td\u003e\n                        \u003ctd\u003e2617 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX 5070 Ti\u003c\/td\u003e\n                        \u003ctd\u003e16GB GDDR7\u003c\/td\u003e\n                        \u003ctd\u003e1750 MHz\u003c\/td\u003e\n                        \u003ctd\u003e2452 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX 5070\u003c\/td\u003e\n                        \u003ctd\u003e12GB GDDR7\u003c\/td\u003e\n                        \u003ctd\u003e1750 MHz\u003c\/td\u003e\n                        \u003ctd\u003e2512 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                    \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX 5060 Ti\u003c\/td\u003e\n                        \u003ctd\u003e16GB GDDR7\u003c\/td\u003e\n                        \u003ctd\u003e1750 MHz\u003c\/td\u003e\n                        \u003ctd\u003e2572 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX A1000\u003c\/td\u003e\n                        \u003ctd\u003e8GB GDDR6\u003c\/td\u003e\n                        \u003ctd\u003e1462 MHz\u003c\/td\u003e\n                        \u003ctd\u003e1500 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX A400\u003c\/td\u003e\n                        \u003ctd\u003e4GB GDDR6\u003c\/td\u003e\n                        \u003ctd\u003e1762 MHz\u003c\/td\u003e\n                        \u003ctd\u003e1500 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                 \n                \u003c\/tbody\u003e\n            \u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Cloud Ninjas Mythical Dragon","offer_id":42088387837998,"sku":"Cloud Ninjas WATRU-6N4S-4G-Multi-GPU-Edition-Stable Diffusion","price":2999.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/Cloud_Ninjas_WATRU-4N6S-4G-6.jpg?v=1771955482","url":"https:\/\/cloudninjas.com\/products\/cloud-ninjas-workstations-for-stable-diffusion-multi-gpu-edition","provider":"Cloud Ninjas","version":"1.0","type":"link"}