{"product_id":"cloud-ninjas-workstation-for-cad-precision-edition","title":"Cloud Ninjas Workstations for CAD Precision 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 CAD\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"subsection-information\"\u003e\n            \u003cp\u003e B-Rep modeling\/editing tends to be more single-thread \/ low-latency sensitive than massively parallel, and the 3D V-Cache enabled AMD Ryzen 7 9800X3D generally gives the strongest responsiveness for interactive rebuilds and repeated geometry\/topology access. These workflows are characterized by repeated iterations of the same geometry and significant amount of time doing interactive work. Many CAD apps still use single threaded processes that rely on data existing in cache thus justifying the CPU selection. Furthermore, it was proven that a high performance CPU directly affects network performance (Latency in Real-Time 3D Volumetric Streaming: A Comprehensive Study, 'https:\/\/arxiv.org\/html\/2605.22131v1'); with a base clock of 4.7 GHz and a boost clock of 5.2 GHz, the AMD Ryzen 7 9800X3D comfortably supports your professional workloads.\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 CAD\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"subsection-information\"\u003e\n          \t\u003cp\u003eBRep CAD modeling\/drafting is not VRAM heavy unlike mesh\/point cloud CAD drafting, 16GB of VRAM offered by the NVIDIA GeForce RTX 5080 is sufficient to support large assemblies(Cloud VDI for CAD Engineering: GPU Benchmark Results \u0026amp; OCI Shape Guide, https:\/\/blog.cybelesoft.com\/cad-vdi-gpu-oci-manufacturing\/). The GPU is a key component when it comes to two specific aspects of CAD: CAD Rendering and WebGL. Rendering by nature is a VRAM intensive process thus already justifying the GPU selection. furthermore, As cloud VDI becomes more widely adopted. 16GB of VRAM provides power users with the confidence to render their designs without fear of bottlenecks, hiccups, or latency. 20GB of VRAM will be handle almost all assemblies that you may have without having to take advantage of Cloud VDI to more effectively manage and scale your business. \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":42472206008366,"sku":"CN-WARU-4N4S-2G-LC-Precision-Edition-CAD","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-workstation-for-cad-precision-edition","provider":"Cloud Ninjas","version":"1.0","type":"link"}