{"title":"Supermicro SYS-322GA-NR Server GPU Upgrades","description":"\u003cdiv class=\"gpu-config\"\u003e\n  \u003cdiv class=\"config\"\u003e\n    \u003cdiv class=\"gpu-content\"\u003e\n    \u003ch3\u003eSupermicro SYS-322GA-NR GPU Configuration\u003c\/h3\u003e\n     \u003cp\u003e The Supermicro SYS-322GA-NR is a quad-processor GPU server designed for high density acceleration workloads, offering 8 PCIe 5.0 x16 dual-slot GPU cards for maximum compute expansion. The system provides abundant PCIe lanes and bandwidth to drive multiple enterprise-grade GPUs simultaneously, making it ideal for AI\/ML training, data analytics, rendering, and other GPU-accelerated business applications. The SYS-322GA-NR delivers the reliability, throughput, and scalability required for modern compute-intensive workflows in enterprise and datacenter environments. \u003c\/p\u003e\n    \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/sys-322ga-nr.pdf?v=1765399264\" target=\"_blank\"\u003eTechnical Guide\u003c\/a\u003e\n  \u003c\/div\u003e\n\n  \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/SYS-322GA-NR_callout_top.webp?v=1765399264\" alt=\"Supermicro SYS-322GA-NR GPU server\"\u003e\n  \u003c\/div\u003e  \n\u003c\/div\u003e\n\n\n\u003cdiv class=\"gpu-upg-tips page-width\"\u003e\n  \u003ch3\u003eCloud Ninjas Supermicro SYS-322GA-NR GPU Upgrade Tips\u003c\/h3\u003e\n  \u003cul class=\"tip-list\"\u003e\n    \u003cli class=\"tipbox\"\u003e\n      \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-squares.svg?v=1747162786\" alt=\" Supermicro SYS-322GA-NR GPU slots\"\u003e\n      \u003cspan class=\"box-cnt\"\u003eThe total number of GPU slots for the Supermicro SYS-322GA-NR server is 8 for dual-slot cards, dual-slot cards will run at x16 links. It is important to ensure that the PCIe generation is identical to the generation supported by the CPU.\u003c\/span\u003e\n    \u003c\/li\u003e\n    \u003cli class=\"tipbox\"\u003e\n      \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/network-card-64.png?v=1764109269\" alt=\" Supermicro SYS-322GA-NR GPU interface \"\u003e\n      \u003cspan class=\"box-cnt\"\u003eThe Supermicro SYS-322GA-NR server supports PCIe 5.0 slots for the GPU. PCIe 4.0 is supported due to backwards compatibility.\u003c\/span\u003e\n    \u003c\/li\u003e\n    \u003cli class=\"tipbox\"\u003e\n      \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-octagon-alert.svg?v=1747165652\" alt=\" Supermicro SYS-322GA-NR GPU compatibility validation\"\u003e\n      \u003cspan class=\"box-cnt\"\u003eEnsure your chassis supports full-length \/ full-height or double-wide GPUs if needed. Note that some servers only support passive-cooled (blower) data-center GPUs such as NVIDIA A100\/T4\/L40\/L40S\/H100 etc.\u003c\/span\u003e\n    \u003c\/li\u003e\n    \u003cli class=\"tipbox\"\u003e\n      \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-shopping-bag.svg?v=1747165795\" alt=\" Supermicro SYS-322GA-NR GPU from Cloud Ninjas\"\u003e\n      \u003cspan class=\"box-cnt\"\u003eBuy “Supermicro SYS-322GA-NR” GPUs today from Cloud Ninjas!\u003c\/span\u003e\n    \u003c\/li\u003e\n    \u003cli class=\"tipbox\"\u003e\n      \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-octagon-alert.svg?v=1747165652\" alt=\" Supermicro SYS-322GA-NR system compatibility\"\u003e\n      \u003cspan class=\"box-cnt\"\u003e We recommend that you confirm the power supply and CPU and can support the newer GPU to avoid botlenecks or installation issues. The Supermicro SYS-322GA-NR has for GPU support, 3x (2+1) Redundant 3200W\/2700W 80 PLUS Titanium PSUs.  \u003c\/span\u003e\n    \u003c\/li\u003e\n    \u003cli class=\"tipbox\"\u003e \n      \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-speed.svg?v=1747162786\" alt=\" Supermicro SYS-322GA-NR Memory Generations\"\u003e\n      \u003cspan class=\"box-cnt\"\u003eThe memory generations supported by the Supermicro SYS-322GA-NR are, GDDR6, GDDR7, HBM3e and HBM3. \u003c\/span\u003e\n    \u003c\/li\u003e\n    \u003cli class=\"tipbox\"\u003e\n      \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-shapes.svg?v=1747162786\" alt=\" Supermicro SYS-322GA-NR video modeling tips\"\u003e\n      \u003cspan class=\"box-cnt\"\u003eUpgrade to NVIDIA GPUs built for real-time ray tracing and high-speed viewports to speed up rendering and design workflows in apps like Blender, Maya, SolidWorks, and AI content creation.\u003c\/span\u003e\n    \u003c\/li\u003e\n    \u003cli class=\"tipbox\"\u003e\n      \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-speed.svg?v=1747162786\" alt=\" Supermicro SYS-322GA-NR VRAM Sizes\"\u003e\n      \u003cspan class=\"box-cnt\"\u003eThe Supermicro SYS-322GA-NR can support GPUs that range from 20GB of VRAM to 141GB of VRAM, keep in mind some GPUs have NVLink bridges as perform much better than non NVLink GPUs, hence the higher the VRAM the more performance you get on your AI GPU cluster.\u003c\/span\u003e\n    \u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n\n\n\u003cdiv class=\"gpu-qa\"\u003e\n  \u003cdiv class=\"page-width\"\u003e\n    \u003ch3\u003eCloud Ninjas's Supermicro SYS-322GA-NR Q\u0026amp;A\u003c\/h3\u003e\n    \u003cdiv class=\"qanda\"\u003e\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e1. What are the benefits of upgrading to a enterprise NVIDIA GPU? \u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eUpgrading to a professional NVIDIA GPU improves performance, stability, and eficiency in AI, 3D design, video editing, and simulation workflows. Get your GPUs at \u003ca href=\"https:\/\/cloudninjas.com\/\"\u003ehttps:\/\/cloudninjas.com\/\u003c\/a\u003e.\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e2. How do I know if I need a GPU upgrade? \u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eIf you are experiencing slow rendering times, or performance bottlenecks, it is a strong sign your GPU needs upgrading. When upgrading, it is strongly recommended to ensure the PCIe interface of your upgrade matches the interface on your system. It is also recommended to ensure the power supply will be compatible with the GPU, and GPUs in total should be under the total PSU power, do not forget to consider the CPU and other components for power consumption and choosing your GPU card.\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e3. Which NVIDIA GPU is best for AI and machine learning?  \u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eGPUs with strong Tensor core perfomance and high VRAM such as the NVIDIA RTX Pro and A-series deliver superior AI training and inference performance because they are specifically engineered to accelerate deep learning workloads. These GPUs combine advanced matrix-processing Tensor cores with fast GDDR6\/GDDR7 or HBM memory to maximize throughput, support larger AI models, enable higher batch sizes, and maintain scalable performance during long training sessions. As a result, NVIDIA enterprise GPUs provide faster neural network training, lower latency, and significantly improved scalability for machine learning, computer vision, and generative AI applications.\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e4. How much VRAM do I need for professional workloads?   \u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eMost AI, 3D, and simulation workloads run best with 16-24GB of VRAM or more, especially when working with large models or complex scenes.\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e5. Will upgrading my GPU improve 4K or 8K video editing?   \u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eYes. Modern GPUs with updated NVENC\/NVDEC encoders greatly improve editing, playback, and thermal requirements.\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e6. What hardware do i need to check before upgrading my GPU?   \u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eEnsure your power supply, cooling system, and case size can support the new GPU's power draw and thermal requirements. In order to see the most improvement from your upgrade, ensure the PCIe generations match on your GPU and your system's motherboard.\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e7. Can an older CPU bottleneck a new GPU? \u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eYes. if your CPU is outdated, it may limit the performance of a newer GPU, especially in AI training and graphics heavy tasks.\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e8. Are NVIDIA enterprise GPUs better for business software? \u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eYes. Professional NVIDIA GPUs are ISV-certified for applications like AutoCAD, SolidWorks, and Adobe, ensuring maximum performance and reliability. The NVIDIA GPUs are also ideal for softwares that run LLMs locally such as LM Studio or Abacus.AI. Learn more about ISV certifications\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/products\/servers\/isv-certifications\/\"\u003e here\u003c\/a\u003e\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e9. Do GPU upgrades help with engineering simulations? \u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eHigh bandwidth, ECC enabled GPUs significantly speed up engineering and scientific simulations by providing fast, reliable memory access that reduces cmputation time and prevents data corruption. In applications like ANSYS, MATLAB, COMSOL, and other CAE tools, GPUs with high memory bandwidth and ECC VRAM deliver more accurate simulation results, faster parallel processing and greater numerical stability. This is especially true when running large finite-element models, multiphysics simulations, or data-intensive mathematical workloads. This combination of speed and reliability makes professional GPUs essential for engineers, researchers, and scientists who need consitstent performance and trustworthy results in their simulation environments.\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e10. How often should businesses upgrade their GPUs? \u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eMost companies upgrade every 3-5 years to stay compatible with modern software and maintain competitive performance. It is recommended to have a yearly assessment for potential upgrades based on the business' AI workloads.\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e11. What's the difference between consumer and professional NVIDIA GPUs? \u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eProfessional GPUs offer ECC memory, long term driver support, and certifications for engineering and design software. These features are critical for businesss reliability.\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e12. Do I need multiple GPUs for AI or rendering?\u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eMulti GPU setups benefit heavy AI training, simulations, and large scale rendering. Many businesses see major gains from just one powerful upgrade.\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e13. Will uprading my GPU reduce downtime?\u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eYes. Newer GPUs provide better stability, fewer crashes, and improved driver support, which helps keep workflows running smoothly.\u003c\/span\u003e\n        \u003c\/div\u003e\n\n        \u003cdiv class=\"q-list\"\u003e\n          \u003cspan class=\"question\"\u003e14. Do I need to update drivers after installing a new GPU?\u003cbutton type=\"button\" id=\"btn-open\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/icon-arrow-big-down.svg?v=1747231433\" alt=\"button down\"\u003e\u003c\/button\u003e\u003c\/span\u003e\n          \u003cdiv class=\"solid\" style=\"display: none;\"\u003e\u003c\/div\u003e\n          \u003cspan class=\"answer\" style=\"display: none;\"\u003eAbsolutely. Up to date NVIDIA drivers ensure optimal perofmance, compatibility, and reliability across professional applications.\u003c\/span\u003e\n        \u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n","products":[{"product_id":"nvidia-rtx-pro-5000-blackwell-48gb-gpu","title":"NVIDIA RTX PRO 5000 Blackwell 48GB GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA RTX PRO 5000 Blackwell GPU is one of the ideal GPUs to start on high level AI workloads, without using most of your budget, yet receiving some of the best AI performance. Engineered for AI professionals, engineers, and businesses dependent on AI training, this card has hight computer power, efficiency, reliability and the latest blackwell technology.\n        Whether you're training AI models, using Machine learning, data science workloads, or drone photogrammetry processing, this GPU can accomodate the competitive edge you might need.\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA RTX PRO 5000 Blackwell 48GB\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eRTX PRO 5000 Blackwell 48GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e48GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eGDDR7\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e14,080 \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e1344GB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 5.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e440\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e110\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e300W Active\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eDual Slot FHFL \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e4x Display Ports 2.1\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003e900-5G153-2250-000\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":41629504438318,"sku":"NVIDIA-RTX-PRO-5000-48GB-BLACKWELL","price":6694.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/RTX-Pro-5000-blackwell-side.jpg?v=1763411300"},{"product_id":"nvidia-rtx-pro-6000-blackwell-96gb-workstation-edition-gpu","title":"NVIDIA RTX PRO 6000 Blackwell 96GB Workstation Edition GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA RTX PRO 6000 Blackwell Workstation Edition GPU is the ideal GPU to start on high level AI workloads in a environment of workstations rather than servers on a data center. Engineered for AI professionals, engineers, and businesses dependent on AI training, this card has high compute power, efficiency, reliability and the latest blackwell technology. This card with software projects such as LM Studio or Abacus AI, you can run the heaviest models and highest quantization models, such as DeepSeek, GPT-5.1 among others at the highest token speeds.\n        Whether you're training AI models, using Machine learning, data science workloads, or drone photogrammetry processing, this GPU can accomodate the competitive edge you need.\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA RTX PRO 6000 Blackwell 96GB Workstation edition\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eRTX PRO 6000 Blackwell 96GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e96GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eGDDR7\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e24,064 \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e1792GB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 5.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e752\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e188\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e600W Active\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eDual Slot FHFL \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e4x Display Ports 2.1\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003e900-5G144-2200-000\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":41631276171310,"sku":"NVIDIA-RTX-PRO-6000-96GB-BLACKWELL-Workstation-Edition","price":12878.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/NVIDIA-RTX-PRO-6000-Blackwell-Workstation-Edition-3QTR-Front-Left.png?v=1763482277"},{"product_id":"nvidia-rtx-6000-ada-48gb-gpu","title":"NVIDIA RTX 6000 ADA Generation 48GB GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA RTX 6000 ADA is the ideal GPU to start on high level AI workloads in a environment of workstations. While using older memory generation, it still provides the speed and power for most large language models. Engineered for AI professionals, engineers, and businesses dependent on AI \u0026amp; LLM training, this card has high compute power, efficiency, reliability and built on Ada Lovelace technology that is connected with consumer RTX GPUs. This card with software projects such as LM Studio or Abacus AI, you can run the heaviest models and highest quantization models, such as DeepSeek, GPT-5.1 among others at the highest token speeds.\n        Whether you're training AI models, using Machine learning, data science workloads, drone photogrammetry processing, amongo other workloads, this GPU can accomodate the competitive edge you need.\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA RTX 6000 ADA 48GB\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eRTX 6000 ADA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e48GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eGDDR6\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e18,176 \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e960GB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 4.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e568\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e142\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e300W Active\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eDual Slot FH \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e4x Display Ports 1.4\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003e900-5G133-2250-000\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":41631384633390,"sku":"NVIDIA-RTX-6000-48GB-ADA-Generation","price":12133.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/nvidia-rtx-6000-ada-left.png?v=1763487612"},{"product_id":"nvidia-rtx-pro-6000-blackwell-96gb-max-q-edition-gpu","title":"NVIDIA RTX PRO 6000 Blackwell 96GB Max-Q Edition GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA RTX PRO 6000 Blackwell Max-Q Edition GPU is the GPU to start on high level AI workloads in a environment of workstations rather than servers on a data center. With more optimized power than its brother RTX PRO 6000 Blackwell, this is a great solution if power is important for your workloads. Engineered for AI professionals, engineers, and businesses dependent on AI training, this card has high compute power, efficiency, reliability and the latest blackwell technology. This card with software projects such as LM Studio or Abacus AI, you can run the heaviest models and highest quantization models, such as DeepSeek, GPT-5.1 among others at the highest token speeds.\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA RTX PRO 6000 Blackwell 96GB Max-Q edition\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eRTX PRO 6000 Blackwell Max-Q\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e96GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eGDDR7\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e24,064 \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e1792GB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 5.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e752\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e188\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e300W Active\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eDual Slot FHFL \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e4x Display Ports 2.1\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003e900-5G153-2200-000\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":41634549039150,"sku":"NVIDIA-RTX-PRO-6000-96GB-BLACKWELL-MAX-Q-Edition","price":12878.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/NVIDIA-RTX-PRO-6000-Blackwell-Max-Q-Workstation-Edition-Front.png?v=1763563472"},{"product_id":"nvidia-rtx-5000-ada-generation-32gb-gpu","title":"NVIDIA RTX 5000 ADA Generation 32GB GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA RTX 5000 ADA is a high-end workstation GPU. While using older memory generation GDDR6, it still provides the speed and power for most large language models with its 32GB. Engineered for AI professionals, engineers, and businesses dependent on AI \u0026amp; LLM training, this card has high compute power, efficiency, reliability and built on Ada Lovelace technology that is connected with consumer RTX GPUs. This card with software projects such as LM Studio or Abacus AI, you can run the most efficient and high quantized models, such as some smaller contained models from DeepSeek, GPT among others at the highest token speeds.\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA RTX 5000 ADA 32GB\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eRTX 5000 ADA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e32GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eGDDR6\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e12,800 \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e576GB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 4.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e440\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e100\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e250W Active\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eDual Slot FH \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e4x Display Ports 1.4\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003e900-5G132-2240-000\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":41634600222766,"sku":"NVIDIA-RTX-5000-32GB-ADA-Generation","price":5487.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/nvidia-rtx-5000-ada-front.png?v=1763565569"},{"product_id":"nvidia-h100-nvl-pcie-94gb-data-center-gpu","title":"NVIDIA H100 NVL PCIe 94GB Data Center GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA H100 NVL PCIe is a high-end data center GPU, that supports the latest NVLink technology for GPU clustering. Engineered for AI professionals, engineers, and businesses dependent on AI \u0026amp; LLM training, this card has high compute power, efficiency, reliability and built on the latest HBM3 memory generation. This card is the entrance when it comes to enterprise data center AI workloads, for LLM training, AI Inference, Multi-model serving amongo other AI related..\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA H100 NVL PCIe 5.0 94GB\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eH100 NVL\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e94GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eHBM3\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eN\/A \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e3.9TB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 5.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eN\/A\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eN\/A\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e400W\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eDual Slot FH \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eN\/A\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003eN\/A\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":41634875408430,"sku":"NVIDIA-H100-NVL-94GB-PCIe","price":39774.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/h100-nvl-right-reverse.png?v=1763570255"},{"product_id":"nvidia-h200-nvl-pcie-141gb-data-center-gpu","title":"NVIDIA H200 NVL PCIe 141GB Data Center GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA H200 NVL PCIe is a high-end data center GPU, that supports the latest NVLink technology for GPU clustering. Engineered for AI professionals, engineers, and businesses dependent on AI \u0026amp; LLM training, this card has high compute power, efficiency, reliability. First GPU built on the latest HBM3e memory generation. This card is the entrance when it comes to enterprise data center AI workloads, for LLM training, AI Inference, Multi-model serving amongo other AI related.\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA H200 NVL PCIe 5.0 141GB\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eH200 NVL\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e141GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eHBM3e\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eN\/A \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e4.8TB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 5.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eN\/A\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eN\/A\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e600W\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eDual Slot FH \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eN\/A\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003eN\/A\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":41635052126254,"sku":"NVIDIA-H200-NVL-141GB-PCIe","price":39774.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/h100-nvl-right-reverse.png?v=1763570255"},{"product_id":"nvidia-rtx-pro-6000-blackwell-96gb-server-edition-gpu","title":"NVIDIA RTX PRO 6000 Blackwell 96GB Server Edition GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA RTX PRO 6000 Blackwell Server Edition GPU is the ideal GPU to start on high level AI workloads in a data center environment without using the latest B200 and B300 GPUs. Engineered for AI professionals, engineers, and businesses dependent on AI training, this card has high compute power, efficiency, reliability and the latest blackwell technology. This card with software projects such as LM Studio or Abacus AI, you can run the heaviest models and highest quantization models, such as DeepSeek, GPT-5.1 among others at the highest token speeds.\n        Whether you're training AI models, using Machine learning, data science workloads, or drone photogrammetry processing, this GPU can accomodate the competitive edge you need.\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA RTX PRO 6000 Blackwell 96GB Server edition\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eRTX PRO 6000 Blackwell 96GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e96GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eGDDR7\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e24,064 \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e1792GB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 5.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e752\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e188\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e600W Active\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eDual Slot FHFL \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e4x Display Ports 2.1\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003eN\/A\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":41635444785198,"sku":"NVIDIA-RTX-PRO-6000-96GB-BLACKWELL-Server-Edition","price":13105.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/6000-server-edition-product.png?v=1763590876"},{"product_id":"nvidia-rtx-pro-4500-blackwell-32gb-gpu","title":"NVIDIA RTX PRO 4500 Blackwell 32GB GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA RTX PRO 4500 Blackwell GPU is one of the ideal GPUs to start on high level AI workloads, without using most of your budget, yet receiving some of the best AI performance. Engineered for AI professionals, engineers, and businesses dependent on AI training, this card has hight computer power, efficiency, reliability and the latest blackwell technology.\n        Whether you're in the Agentic AI area, the 3D world rendering or photo realistic physics, this GPU can accomodate the competitive edge you might need.\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA RTX PRO 4500 Blackwell 32GB\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eRTX PRO 4500 Blackwell\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e32GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eGDDR7\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e10496 \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e896GB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 5.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e328\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e82\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e200W Active\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eDual Slot FHFL \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e4x Display Ports 2.1\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003e900-5G147-2250-000\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":41636688298030,"sku":"NVIDIA-RTX-PRO-4500-32GB-BLACKWELL","price":3868.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/RTX-PRO-4500-Blackwell-Front.png?v=1763657885"},{"product_id":"nvidia-rtx-pro-4000-blackwell-sff-24gb-gpu","title":"NVIDIA RTX PRO 4000 Blackwell SFF 24GB GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA RTX PRO 4000 Blackwell GPU is one of the ideal GPUs to start on high level AI workloads, without using most of your budget, yet receiving some of the best AI performance. Engineered for AI professionals, engineers, and businesses dependent on AI training, this card has hight computer power, efficiency, reliability and the latest blackwell technology.\n        Whether you're in the Agentic AI area, the 3D world rendering or photo realistic physics, this GPU can accomodate the competitive edge you might need.\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA RTX PRO 4000 Blackwell 24GB\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eRTX PRO 4000 Blackwell\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e24GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eGDDR7\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e8960 \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e672GB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 5.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e280\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e70\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e140W Active\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eDual Slot FHML \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e4x Display Ports 2.1\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003e900-5G147-2270-000\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":41649446617134,"sku":"NVIDIA-RTX-PRO-4000-24GB-BLACKWELL-SFF","price":2569.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/RTX-PRO-4000-SFF-3QTR-Left-Short-Bracket.png?v=1764186550"},{"product_id":"nvidia-rtx-4500-ada-generation-24gb-gpu","title":"NVIDIA RTX 4500 ADA Generation 24GB GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA RTX 4500 ADA is a high-end workstation GPU. While using older memory generation GDDR6, it still provides the speed and power for most large language models with its 24GB. Engineered for AI professionals, engineers, and businesses dependent on AI \u0026amp; LLM training, this card has high compute power, efficiency, reliability and built on Ada Lovelace technology that is connected with consumer RTX GPUs. This card with software projects such as LM Studio or Abacus AI, you can run the most efficient and high quantized models, such as some smaller contained models from DeepSeek, GPT among others at the highest token speeds.\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA RTX 4500 ADA 24GB\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eRTX 4500 ADA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e24GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eGDDR6\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e7680\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e432GB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 4.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e240\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e60\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e210W Active\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eDual Slot FH \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e4x Display Ports 1.4\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003e900-5G132-2260-000\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":41649452580910,"sku":"NVIDIA-RTX-4500-24GB-ADA-Generation","price":3393.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/nvidia-rtx-4500-ada-front.png?v=1764187666"},{"product_id":"nvidia-rtx-4000-ada-generation-20gb-gpu","title":"NVIDIA RTX 4000 ADA Generation 20GB GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA RTX 4000 ADA is a high-end workstation GPU. While using older memory generation GDDR6, it still provides the speed and power for most large language models with its 20GB. Engineered for AI professionals, engineers, and businesses dependent on AI \u0026amp; LLM training, this card has high compute power, efficiency, reliability and built on Ada Lovelace technology that is connected with consumer RTX GPUs. This card with software projects such as LM Studio or Abacus AI, you can run the most efficient and high quantized models, such as some smaller contained models from DeepSeek, GPT among others at the highest token speeds.\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA RTX 4000 ADA 20GB\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eRTX 4000 ADA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e20GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eGDDR6\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e6144\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e360GB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 4.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e192\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e48\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e130W Active\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eSingle Slot FH \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e4x Mini Display Ports 1.4\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003e900-5G190-2270-000\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":41649495474222,"sku":"NVIDIA-RTX-4000-20GB-ADA-Generation","price":2164.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/nvidia-rtx-4000-ada-front.png?v=1764189748"},{"product_id":"nvidia-rtx-pro-4000-blackwell-24gb-gpu","title":"NVIDIA RTX PRO 4000 Blackwell 24GB GPU","description":"\u003cdiv class=\"description\"\u003e\n\t\u003cdiv class=\"info\"\u003e\n\t\t\u003cp\u003eThe NVIDIA RTX PRO 4000 Blackwell GPU is one of the ideal GPUs to start on high level AI workloads, without using most of your budget, yet receiving some of the best AI performance, at a low-profile size. Engineered for AI professionals, engineers, and businesses dependent on AI training, this card has hight computer power, efficiency, reliability and the latest blackwell technology.\n        Whether you're in the Agentic AI area, the 3D world rendering or photo realistic physics, this GPU can accomodate the competitive edge you might need.\u003c\/p\u003e\n\t\u003c\/div\u003e\n\t\u003cdiv class=\"extra-info\"\u003e\n\t\t\u003ch3\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/h3\u003e\n\t\t\u003ctable class=\"feature-table\"\u003e\n\t\t\t\u003ctbody\u003e\n\t\t\t    \u003ctr\u003e\n\t\t\t      \u003cth colspan=\"2\" style=\"background-color: #2ba22b; color:white;\"\u003eNVIDIA RTX PRO 4000 Blackwell 24GB\u003c\/th\u003e\n\t\t\t  \u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eBrand\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\u003cth\u003eModel #\u003c\/th\u003e\n\t\t\t\t\u003ctd\u003eRTX PRO 4000 Blackwell\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eGPU Memory\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e24GB\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Generation\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eGDDR7\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e8960 \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eMemory Bandwidth\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e672GB\/s\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eInterface\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003ePCIe 5.0 x16\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e280\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eRay Tracing Cores\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e70\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003ePower\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e140W Active\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDimensions\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003eSingle-slot low-profile \u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n\t\t\t\t\u003ctr\u003e\n\t\t\t\t\t\u003cth\u003eDisplay Capabilities\u003c\/th\u003e\n\t\t\t\t\t\u003ctd\u003e4x Display Ports 2.1\u003c\/td\u003e\n\t\t\t\t\u003c\/tr\u003e\n              \u003ctr\u003e\n                \u003cth\u003eMPN\u003c\/th\u003e\n                \u003ctd\u003e900-5G147-2270-000\u003c\/td\u003e\n              \u003c\/tr\u003e\n\t\t\t\u003c\/tbody\u003e\n\t\t\u003c\/table\u003e\n\t\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Default Title","offer_id":42133208956974,"sku":"NVIDIA-RTX-PRO-4000-24GB-BLACKWELL","price":2570.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/4-rtx-pro-4000-blackwell-3qtr-left.png?v=1772639042"}],"url":"https:\/\/cloudninjas.com\/collections\/supermicro-sys-322ga-nr-server-gpu-upgrades.oembed?page=2","provider":"Cloud Ninjas","version":"1.0","type":"link"}