{"product_id":"cloud-ninjas-workstations-for-pix4dmatic-models-small-maps-edition","title":"Cloud Ninjas Workstations for Pix4Dmatic Models \u0026 Small Maps 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' Models \u0026amp; Small Maps Edition Pix4Dmatic Workstation\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"subsection-information\"\u003e\n\u003cp\u003ePix4Dmatic utilizes the CPU heavily during image alignment, preprocessing, and portions of the reconstruction pipeline. Multi-threading and higher core counts significantly improve throughput in these stages, while strong single-core performance helps maintain responsiveness and coordination efficiency. A modern multi-core CPU ensures the workstation can process image sets efficiently while supporting parallel photogrammetry tasks.\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\u003eIntel Ultra 9 285T\u003c\/td\u003e\n                        \u003ctd\u003e24C\/24T\u003c\/td\u003e\n                        \u003ctd\u003e1.40 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.40 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 9 285K\u003c\/td\u003e\n                        \u003ctd\u003e24C\/24T\u003c\/td\u003e\n                        \u003ctd\u003e3.70 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.70 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 9 285\u003c\/td\u003e\n                        \u003ctd\u003e24C\/24T\u003c\/td\u003e\n                        \u003ctd\u003e2.50 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.60 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 7 265T\u003c\/td\u003e\n                        \u003ctd\u003e20C\/20T\u003c\/td\u003e\n                        \u003ctd\u003e1.50 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.30 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 7 265KF\u003c\/td\u003e\n                        \u003ctd\u003e20C\/20T\u003c\/td\u003e\n                        \u003ctd\u003e3.90 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.50 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                   \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 7 265K\u003c\/td\u003e\n                        \u003ctd\u003e20C\/20T\u003c\/td\u003e\n                        \u003ctd\u003e3.90 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.50 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 7 265F\u003c\/td\u003e\n                        \u003ctd\u003e20C\/20T\u003c\/td\u003e\n                        \u003ctd\u003e2.40 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.30 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 7 265\u003c\/td\u003e\n                        \u003ctd\u003e20C\/20T\u003c\/td\u003e\n                        \u003ctd\u003e2.40 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.30 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 5 245KF\u003c\/td\u003e\n                        \u003ctd\u003e14C\/14T\u003c\/td\u003e\n                        \u003ctd\u003e4.20 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.20 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 5 245K\u003c\/td\u003e\n                        \u003ctd\u003e14C\/14T\u003c\/td\u003e\n                        \u003ctd\u003e4.20 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.20 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 5 245\u003c\/td\u003e\n                        \u003ctd\u003e14C\/14T\u003c\/td\u003e\n                        \u003ctd\u003e3.50 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.10 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 5 235T\u003c\/td\u003e\n                        \u003ctd\u003e14C\/14T\u003c\/td\u003e\n                        \u003ctd\u003e2.30 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.00 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 5 235\u003c\/td\u003e\n                        \u003ctd\u003e14C\/14T\u003c\/td\u003e\n                        \u003ctd\u003e3.40 GHz\u003c\/td\u003e\n                        \u003ctd\u003e5.00 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 5 225\u003c\/td\u003e\n                        \u003ctd\u003e10C\/10T\u003c\/td\u003e\n                        \u003ctd\u003e2.50 GHz\u003c\/td\u003e\n                        \u003ctd\u003e4.90 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                    \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 5 225F\u003c\/td\u003e\n                        \u003ctd\u003e10C\/10T\u003c\/td\u003e\n                        \u003ctd\u003e3.30 GHz\u003c\/td\u003e\n                        \u003ctd\u003e4.90 GHz\u003c\/td\u003e\n                    \u003c\/tr\u003e\n                  \u003ctr\u003e\n                        \u003ctd\u003eIntel Ultra 5 225\u003c\/td\u003e\n                        \u003ctd\u003e10C\/10T\u003c\/td\u003e\n                        \u003ctd\u003e3.30 GHz\u003c\/td\u003e\n                        \u003ctd\u003e4.90 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' Models \u0026amp; Small Maps Edition Pix4Dmatic Workstation\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"subsection-information\"\u003e\n\u003cp\u003ePix4Dmatic leverages GPU acceleration extensively during point cloud densification and certain reconstruction stages. A capable professional GPU improves processing speed and reduces total project time, particularly when working with higher image counts. Adequate VRAM is important for handling dense reconstructions and larger textures. While the CPU remains important for early pipeline stages, a well-matched GPU significantly accelerates the most compute-intensive photogrammetry workloads.\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 Arctic Falcon Air Cooled","offer_id":42086356647982,"sku":"Cloud Ninjas WIUG-3N4S-1G-A-AC-Models-Small-Maps-Edition-Pix4Dmatic","price":1169.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/Define_7_Mini-WIUG-3N4S-1G-A-1-AC.jpg?v=1771954168","url":"https:\/\/cloudninjas.com\/products\/cloud-ninjas-workstations-for-pix4dmatic-models-small-maps-edition","provider":"Cloud Ninjas","version":"1.0","type":"link"}