{"product_id":"rtx-pro-6000-blackwell-server-edition-copy","title":"RTX PRO 6000 Blackwell Max-Q Workstation Edition","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003ePowering the next era of AI. \u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_10-9-2025_11643_www.nvidia.com_4163b5c5-1060-435c-8f94-10ee4b31a3eb.jpg?v=1757482591\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eScalable Workstation Performance \u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eExperience the next level of AI and creative performance with the NVIDIA RTX PRO™ 6000 Blackwell Max-Q Workstation Edition. Engineered to accelerate your most demanding workflows, it delivers unparalleled AI and neural rendering capabilities backed by 96GB of ultra-fast GDDR7 memory, in a density-optimized design. Seamlessly scale from one to four GPUs, multiplying your compute power and enabling you to pioneer new frontiers in AI, data science, and graphics.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHighlights — Industry-Leading Performance\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, 'Segoe UI', Roboto, Arial, sans-serif; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"text-align: center;\"\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 68.9369%; text-align: center;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 31.0631%; text-align: center;\"\u003e3511 TOPS\u003csup\u003e1,2\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 68.9369%;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 31.0631%;\"\u003e333 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 68.9369%;\"\u003eSingle-Precision (FP32) Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 31.0631%;\"\u003e110 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003ctfoot\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" style=\"padding: 10px; font-size: 0.9rem; color: rgb(85, 85, 85); border-top: 1px solid rgb(221, 221, 221); text-align: center; width: 100%;\"\u003e\n\u003cem\u003e\u003c\/em\u003e\n\u003cp\u003e1. Peak rates based on GPU Boost Clock.   |   2. Theoretical FP4 TOPS using sparsity.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tfoot\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePowered by NVIDIA Blackwell Architecture\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/geforce-rtx-50-series-architecture-ari.jpg?v=1755491985\" alt=\"\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 81.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 81.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.9157%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFifth-Gen Tensor Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eMax AI performance with FP4 and DLSS 4\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 41.5806%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eNew Streaming Multiprocessors\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eOptimized for RTX Neural Shaders\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.7005%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFourth-Gen Ray Tracing Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eBuilt for RTX Mega Geometry\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 1293.06px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 448.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 448.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-tensor-core-ffffff_1.svg?v=1755494534\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e5th Gen Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFifth-generation Tensor Cores deliver up to 3X the performance of the previous generation and add support for FP4 precision and DLSS 4 Multi Frame Generation technology. Accelerate local LLMs, prototype new AI models, and drive enhanced content creation and graphics.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 448.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-render-ffffff_1.svg?v=1755494654\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e4th Gen RT Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFourth-generation RT Cores deliver up to 2X the performance of the previous generation, accelerating rendering for M\u0026amp;E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100X more ray-traced triangles.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 448.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-accelerating-cuda-c---appl-with-multiple-gpus-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Blackwell is the most powerful professional RTX GPU ever created, featuring the latest SM and CUDA® core technology. The SM features increased processing throughput and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 409.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.094px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-chip-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e96GB of GPU Memory\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNew and improved GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster and work with larger, more complex datasets. With 96 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.094px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-encoding-ffffff_1.svg?v=1755494865\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e9th-Gen NVENC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNinth-generation NVIDIA NVENC engines significantly accelerate video encoding speed and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding and improve HEVC and AV1 encoding quality.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.094px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-broadcast-ffffff_1_1.svg?v=1755494943\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e6th-Gen NVDEC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSixth-generation NVIDIA NVDEC engines provide up to double H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion, and use advanced AI-powered video editing features.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 435.875px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 435.875px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-multi-gpus-ffffff_1.svg?v=1755494864\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Instance GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMulti-Instance GPU (MIG) expands the performance and value of RTX PRO 6000 Max-Q, enabling the creation of up to four (4) fully isolated instances. Each MIG instance has its own high-bandwidth memory, cache, and compute cores. and guaranteed quality of service (QoS), extending the reach of accelerated computing resources to every user.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 435.875px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-pcie-switch-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Gen 5\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSupport for PCI Express Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 435.875px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-display-gaming-no-bezel-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMax-Q\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003ePacking a 300W punch into an ultra-efficient design, the RTX PRO 6000 Max-Q redefines high-density workstation performance. Optimized for energy and space efficiency, it enables up to 4 GPUs in a single system, delivering unmatched scalability for AI training, 3D rendering, and complex simulations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWorkloads\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eMulti-Workload Acceleration\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_10-9-2025_11726_www.nvidia.com_44356250-de63-48c2-b2c2-734d143d9180.jpg?v=1757483235\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eSpecifications \u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; text-align: left;\" cellpadding=\"8\" cellspacing=\"0\" border=\"1\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background-color: #f2f2f2;\"\u003e\n\u003cth style=\"text-align: center;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Architecture\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eAI TOPS\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e3511\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e5th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Encoder (NVENC)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x 9th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Decoder (NVDEC)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x 6th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Configuration\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e96GB GDDR7 with error-correcting code (ECC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1792 GB\/sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e300 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSystem Requirements\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; text-align: left; width: 100%;\" cellpadding=\"8\" cellspacing=\"0\" border=\"1\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background-color: #f2f2f2;\"\u003e\n\u003cth style=\"text-align: center;\"\u003eCategory\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"6\" style=\"text-align: center;\"\u003e\u003cb\u003eSystem Requirements\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eIntel Core i5, i7, i9, or Xeon processor or later\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eAMD Ryzen or Epyc class processor or later\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePCI Express 5.0 x16 (preferred) expansion slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSystem memory ≥ GPU memory (2× GPU memory recommended)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eInternet connection for driver installation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eDisplayPort 2.1 (preferred), HDMI®, or DVI-compatible display(s)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"8\" style=\"text-align: center;\"\u003e\u003cb\u003eSupported Platforms\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eMicrosoft Windows 11 (64-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMicrosoft Windows 10 (64-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRed Hat Enterprise Linux 7.x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSUSE Linux Enterprise Desktop 15.x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eFedora 31\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eUbuntu 18.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eFreeBSD 11.x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSolaris 11\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload \u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003e\u003ca rel=\"noopener\" title=\"Datasheet RTX6000\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/workstation-datasheet-blackwell-rtx-pro-6000-max-q-nvidia-3519233.pdf?v=1757482383\" target=\"_blank\"\u003e\u003cem\u003eDownload\u003c\/em\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Contains\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1x NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition Professional Graphics Card\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e1x Auxiliary Power Cable\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50726512525629,"sku":"SBC5001","price":1828999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/NVIDIA-RTX-PRO-6000-Blackwell-Max-Q-Workstation-Edition-3QTR-Top-Left-Icons.png?v=1757483154","url":"https:\/\/thinkrobotics.com\/es\/products\/rtx-pro-6000-blackwell-server-edition-copy","provider":"Atlantis Robotics","version":"1.0","type":"link"}