{"product_id":"cloud-ninjas-workstations-for-localai-intel-edition","title":"Cloud Ninjas Workstations for LocalAI Intel 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' LocalAI Workstation\u003c\/span\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"subsection-information\"\u003e\n            \u003cp\u003eLocalAI can run inference on CPU when GPU acceleration is unavailable or when using optimized quantized models. As a result, strong multi-core and multi-threaded CPU performance is critical for maintaining acceptable inference speeds. LocalAI also supports concurrent requests for backends that support it, such as llama.cpp and vLLM. CPU architecture directly impacts latency and throughput in professional local AI deployments. Learn more about concurrent requests \u003ca href=\"https:\/\/localai.io\/advanced\/index.html\"\u003ehere\u003c\/a\u003e\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\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\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' localAI Workstation\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"subsection-information\"\u003e\n          \t\u003cp\u003eGPU acceleration is critical as it enhances LocalAI performance for supported models, particularly for large language models and multiple-model workloads. A workstation GPU with high compute performance and ample VRAM enables faster inference, supports larger models, and improves response times across concurrent workloads. Increased VRAM is non-negotiable for maintaining performance due to how LocalAI manages models in memory once they are loaded in. Learn more about LocalAI’s VRAM management \u003ca href=\"https:\/\/localai.io\/advanced\/index.html\"\u003ehere\u003c\/a\u003e\n\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 Ghost Viper Liquid Cooled","offer_id":42231443882030,"sku":"Cloud Ninjas WIUU-3N4S-1G-LC-Intel-Edition-LocalAI","price":1109.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/Define_7_Mini-WIUU-3N4S-1G-1-LQC.jpg?v=1771954936","url":"https:\/\/cloudninjas.com\/products\/cloud-ninjas-workstations-for-localai-intel-edition","provider":"Cloud Ninjas","version":"1.0","type":"link"}