{"product_id":"cloud-ninjas-workstations-for-alicevision-ryzen-edition","title":"Cloud Ninjas Workstations for AliceVision Ryzen Edition","description":"\u003cdiv class=\"subsection cpu-subsection\"\u003e\n        \u003cdiv class=\"sub-section-head\" id=\"cpu-subsection-toggle\"\u003e\n            \u003cspan class=\"sub-section-tl\"\u003eProcessor Specifications for Cloud Ninjas' Workstation for AliceVision\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"subsection-information\"\u003e\n            \u003cp\u003eCPU performance plays a major role in feature extraction, matching, and structure-from-motion stages. The AMD Ryzen 9 9900X delivers strong single-core performance for responsive processing and excellent multi-core throughput for parallelizable stages. This balance improves overall pipeline efficiency, particularly during image alignment and reconstruction phases in photogrammetry workflows.\u003c\/p\u003e\n        \u003c\/div\u003e\n\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 7 9700X\u003c\/td\u003e\n                        \u003ctd\u003e8C\/16T\u003c\/td\u003e\n                        \u003ctd\u003e3.80 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.50 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                    \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen 7 9800X3D\u003c\/td\u003e\n                        \u003ctd\u003e8C\/16T\u003c\/td\u003e\n                        \u003ctd\u003e4.70 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.20 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                    \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen 9 9900X\u003c\/td\u003e\n                        \u003ctd\u003e12C\/24T\u003c\/td\u003e\n                        \u003ctd\u003e4.40 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.60 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                    \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen 9 9900X3D\u003c\/td\u003e\n                        \u003ctd\u003e12C\/24T\u003c\/td\u003e\n                        \u003ctd\u003e4.40 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.50 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen 9 9950X\u003c\/td\u003e\n                        \u003ctd\u003e16C\/32T\u003c\/td\u003e\n                        \u003ctd\u003e4.30 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.70 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eAMD Ryzen 9 9950X3D\u003c\/td\u003e\n                        \u003ctd\u003e16C\/32T\u003c\/td\u003e\n                        \u003ctd\u003e4.30 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.70 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                \u003c\/tbody\u003e\n            \u003c\/table\u003e\n\n        \u003c\/div\u003e\n    \u003c\/div\u003e\n\n    \u003cdiv class=\"subsection gpu-subsection\"\u003e\n        \u003cdiv class=\"sub-section-head\" id=\"gpu-subsection-toggle\"\u003e\n            \u003cspan class=\"sub-section-tl\"\u003eGraphics Card Specifications Cloud Ninjas' Workstation for AliceVision\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"subsection-information\"\u003e\n          \t\u003cp\u003eGPU acceleration is the most critical performance factor in AliceVision. A GeForce RTX 5090 provides extremely high CUDA core throughput and large VRAM capacity, enabling faster depth map computation, mesh reconstruction, and texture generation. High VRAM is especially important for large image sets, preventing out-of-memory errors and allowing smoother processing of high-resolution photogrammetry datasets.\u003c\/p\u003e\n        \u003c\/div\u003e\n\n    \u003c\/div\u003e\n\n    \u003cdiv class=\"table-section\"\u003e\n\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 6000 ADA Generation\u003c\/td\u003e\n                        \u003ctd\u003e32GB GDDR6\u003c\/td\u003e\n                        \u003ctd\u003e2505 MHz\u003c\/td\u003e\n                        \u003ctd\u003e2500 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                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX 5000 ADA Generation\u003c\/td\u003e\n                        \u003ctd\u003e32GB GDDR6\u003c\/td\u003e\n                        \u003ctd\u003e2550 MHz\u003c\/td\u003e\n                        \u003ctd\u003e2250 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX 4500 ADA Generation\u003c\/td\u003e\n                        \u003ctd\u003e24GB GDDR6\u003c\/td\u003e\n                        \u003ctd\u003e2580 MHz\u003c\/td\u003e\n                        \u003ctd\u003e2250 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eNVIDIA RTX 4000 ADA Generation\u003c\/td\u003e\n                        \u003ctd\u003e20GB GDDR6\u003c\/td\u003e\n                        \u003ctd\u003e2175 MHz\u003c\/td\u003e\n                        \u003ctd\u003e2250 MHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\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\n            \n        \u003c\/div\u003e\n    \u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Cloud Ninjas Steel Wolf Liquid Cooled","offer_id":42283887263790,"sku":"Cloud Ninjas WARU-4N4S-2G-LC-Ryzen-Edition-AliceVision","price":1929.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/Cloud_Ninjas_WARU-4N4S-2G_Liquid_Cooled_1.jpg?v=1775674169","url":"https:\/\/cloudninjas.com\/products\/cloud-ninjas-workstations-for-alicevision-ryzen-edition","provider":"Cloud Ninjas","version":"1.0","type":"link"}