{"product_id":"cloud-ninjas-workstations-for-trimble-reality-capture-ryzen-edition","title":"Cloud Ninjas Workstations for Trimble Reality Capture 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' Reality Capture Workstation\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"subsection-information\"\u003e\n            \u003cp\u003eCPU performance plays a critical role in preprocessing, alignment, and certain reconstruction stages in Trimble Reality Capture. The AMD Ryzen 9 9900X delivers strong single-core performance for responsive interaction and fast sequential processing, while its multi-core capabilities support parallel tasks in larger datasets. This balance ensures efficient performance across both interactive and computational 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 for Cloud Ninjas' Reality Capture Workstation\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"subsection-information\"\u003e\n          \t\u003cp\u003eGPU acceleration is essential for real-time visualization and accelerating photogrammetry tasks in Trimble Reality Capture. A GeForce RTX 5070 Ti provides the compute performance and VRAM capacity required for smooth navigation of dense point clouds and high-resolution models. This ensures fluid interaction, faster processing of GPU-accelerated steps, and improved overall workstation performance in professional reality capture workflows.\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":42272922501166,"sku":"Cloud Ninjas WARU-4N4S-2G-AC-Ryzen-Edition-Trimble Reality Capture","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-trimble-reality-capture-ryzen-edition","provider":"Cloud Ninjas","version":"1.0","type":"link"}