{"product_id":"dell-pro-max-with-gb10-fcm1253-128gb-2tb","title":"Dell Pro Max with GB10 FCM1253 128GB Unified Memory 2TB SSD","description":"\u003csection class=\"phd-intro\"\u003e\n  \u003cdiv\u003e\n\u003cp class=\"phd-eyebrow\"\u003eDesktop AI system \/ NVIDIA Grace Blackwell\u003c\/p\u003e\n\u003ch2\u003e128GB of unified memory for AI development at your desk.\u003c\/h2\u003e\n\u003c\/div\u003e\n  \u003cdiv\u003e\n\u003cp\u003eThe Dell Pro Max with GB10 (FCM1253) is a complete desktop computer, 150mm square, built around the NVIDIA GB10 Grace Blackwell Superchip. A 20-core Arm CPU and a Blackwell GPU share one 128GB pool of LPDDR5X memory. The system comes with NVIDIA DGX OS 7 and NVIDIA's AI software stack.\u003c\/p\u003e\n\u003cp\u003eIt is designed for developers, researchers and data scientists who want to prototype, fine-tune and run AI models on local hardware. Projects can later move to larger NVIDIA infrastructure. This configuration is Dell part number T9WMV, with a 2TB SSD, Wi-Fi 7 and a 280W USB-C power adapter.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003cnav class=\"phd-jump-links\" aria-label=\"Product information\"\u003e\n  \u003ca href=\"#hardware-components\"\u003eProduct details\u003c\/a\u003e\n  \u003ca href=\"#hardware-specification\"\u003eTechnical specification\u003c\/a\u003e\n  \u003ca href=\"#hardware-included\"\u003eWhat's included\u003c\/a\u003e\n  \u003ca href=\"#hardware-questions\"\u003eBefore you order\u003c\/a\u003e\n\u003c\/nav\u003e\n\u003cdiv class=\"phd-metrics\" aria-label=\"Key specifications\"\u003e\n  \u003cdiv\u003e\n\u003cstrong\u003e128GB\u003c\/strong\u003e\u003cspan\u003eLPDDR5X unified memory shared by CPU and GPU\u003c\/span\u003e\n\u003c\/div\u003e\n  \u003cdiv\u003e\n\u003cstrong\u003e273GB\/s\u003c\/strong\u003e\u003cspan\u003eUnified memory bandwidth\u003c\/span\u003e\n\u003c\/div\u003e\n  \u003cdiv\u003e\n\u003cstrong\u003e1 PFLOP\u003c\/strong\u003e\u003cspan\u003ePeak FP4 AI compute, with sparsity\u003c\/span\u003e\n\u003c\/div\u003e\n  \u003cdiv\u003e\n\u003cstrong\u003e2x 200Gbps\u003c\/strong\u003e\u003cspan\u003eConnectX-7 QSFP network ports\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003csection class=\"phd-components\" id=\"hardware-components\"\u003e\n  \u003ch2\u003eGrace Blackwell in a compact desktop\u003c\/h2\u003e\n  \u003cdiv class=\"phd-features\"\u003e\n    \u003carticle\u003e\u003ch3\u003eOne memory pool for large models\u003c\/h3\u003e\n\u003cp\u003eThe GB10 links its CPU and GPU with NVLink-C2C, so both work from the same 128GB of memory rather than a separate, smaller pool of graphics memory. Dell quotes models of up to 200 billion parameters for this system; NVIDIA gives the same figure for FP4-precision inference on its GB10-based DGX Spark, and up to 70 billion parameters for fine-tuning. What fits in practice depends on precision, context length, the framework and the memory used by the operating system and other applications.\u003c\/p\u003e\u003c\/article\u003e\n    \u003carticle\u003e\u003ch3\u003eNVIDIA DGX OS and AI software\u003c\/h3\u003e\n\u003cp\u003eDGX OS 7 is NVIDIA's Ubuntu-based operating system, set up with the GPU drivers and NVIDIA AI software stack. NVIDIA names familiar tools such as PyTorch, Jupyter and Ollama for prototyping, fine-tuning and local inference on GB10 systems, and Dell positions this model for data science and agentic AI development. NVIDIA AI Enterprise, where required, is licensed separately.\u003c\/p\u003e\u003c\/article\u003e\n    \u003carticle\u003e\u003ch3\u003eLink two systems over ConnectX-7\u003c\/h3\u003e\n\u003cp\u003eAn NVIDIA ConnectX-7 SmartNIC provides two 200Gbps QSFP ports; the system also has 10GbE and Wi-Fi 7 for everyday networking. Dell specifies one QSFP port for connecting a second Dell Pro Max with GB10 and quotes models of up to 400 billion parameters across the pair. Dell lists RDMA and GPUDirect support for clustered workloads. The software must support distributed inference or training to use both.\u003c\/p\u003e\u003c\/article\u003e\n  \u003c\/div\u003e\n\u003c\/section\u003e\n\u003caside class=\"phd-note\"\u003e\u003ch3\u003eAn Arm-based Linux system running NVIDIA DGX OS.\u003c\/h3\u003e\n\u003cp\u003eDell lists NVIDIA DGX OS as the supported operating system for this model; it is not a Windows workstation. Before ordering, check that your applications, containers and libraries are available for Linux on 64-bit Arm (aarch64).\u003c\/p\u003e\u003c\/aside\u003e\n\u003csection class=\"phd-specs\" id=\"hardware-specification\"\u003e\n  \u003cdiv class=\"phd-section-heading\"\u003e\n\u003ch2\u003eTechnical specification\u003c\/h2\u003e\n\u003cp\u003eDell part number T9WMV, with Dell and NVIDIA manufacturer specifications\u003c\/p\u003e\n\u003c\/div\u003e\n  \u003ctable\u003e\n\u003ccaption\u003e01 \/ Supplied configuration\u003c\/caption\u003e\n\u003ctbody\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eSystem\u003c\/th\u003e\n\u003ctd\u003eDell Pro Max with GB10, model FCM1253, micro desktop\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eDell part number\u003c\/th\u003e\n\u003ctd\u003eT9WMV\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eSuperchip\u003c\/th\u003e\n\u003ctd\u003eNVIDIA GB10 Grace Blackwell Superchip, 140W processor rating\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eCPU\u003c\/th\u003e\n\u003ctd\u003e20-core Arm: 10x Cortex-X925 and 10x Cortex-A725; 16MB cache\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eGPU\u003c\/th\u003e\n\u003ctd\u003eIntegrated NVIDIA Blackwell GPU with fifth-generation Tensor Cores and fourth-generation RT cores\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eMemory\u003c\/th\u003e\n\u003ctd\u003e128GB LPDDR5X unified system memory, 8533MT\/s, up to 273GB\/s; onboard, no memory slots\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eStorage\u003c\/th\u003e\n\u003ctd\u003e2TB M.2 2230 PCIe Gen4 NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eOperating system\u003c\/th\u003e\n\u003ctd\u003eNVIDIA DGX OS 7 (Ubuntu-based Linux)\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eWireless\u003c\/th\u003e\n\u003ctd\u003eWi-Fi 7 (802.11be) and Bluetooth 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003ePower\u003c\/th\u003e\n\u003ctd\u003e280W USB-C AC adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n  \u003ctable\u003e\n\u003ccaption\u003e02 \/ GB10 compute, memory and video\u003c\/caption\u003e\n\u003ctbody\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eAI performance\u003c\/th\u003e\n\u003ctd\u003eUp to 1 PFLOP FP4 Tensor performance, theoretical peak with sparsity\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eCUDA cores\u003c\/th\u003e\n\u003ctd\u003e6,144, NVIDIA Blackwell generation\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eMemory interface\u003c\/th\u003e\n\u003ctd\u003e256-bit LPDDR5X; coherent CPU-GPU memory over NVLink-C2C\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eVideo engines\u003c\/th\u003e\n\u003ctd\u003e1x NVENC; 1x NVDEC\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eDisplay output\u003c\/th\u003e\n\u003ctd\u003eHDMI 2.1 up to 7680 x 4320 at 30Hz; DisplayPort 1.4a alt mode on the 20Gbps USB-C ports, up to 7680 x 4320 at 60Hz for a single display. DisplayPort MST is not supported.\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n  \u003cp class=\"phd-footnote\"\u003eFP4 performance is a manufacturer peak using sparsity, not an application benchmark. Model capacity and speed depend on precision, framework, context length and workload.\u003c\/p\u003e\n  \u003ctable\u003e\n\u003ccaption\u003e03 \/ Connections and physical format\u003c\/caption\u003e\n\u003ctbody\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eHigh-speed networking\u003c\/th\u003e\n\u003ctd\u003eNVIDIA ConnectX-7 SmartNIC with 2x QSFP ports, 200Gbps each\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eEthernet\u003c\/th\u003e\n\u003ctd\u003e1x RJ-45 10GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eUSB\u003c\/th\u003e\n\u003ctd\u003e3x USB-C 20Gbps (USB 3.2 Gen 2x2) with DisplayPort 1.4a alt mode and power out; 1x USB-C power input\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eVideo port\u003c\/th\u003e\n\u003ctd\u003e1x HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eExpansion\u003c\/th\u003e\n\u003ctd\u003eNo expansion slots; one M.2 2230\/2242 SSD position, fitted with the 2TB drive\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eDimensions\u003c\/th\u003e\n\u003ctd\u003e150mm wide x 150mm deep; 45.5mm high, 51mm at the highest point\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eWeight\u003c\/th\u003e\n\u003ctd\u003e1.22kg to 1.34kg, depending on configuration\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003ePower adapter\u003c\/th\u003e\n\u003ctd\u003e280W USB-C AC adapter, connected to the dedicated USB-C power input\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eOperating temperature\u003c\/th\u003e\n\u003ctd\u003e0°C to 35°C\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n  \u003cp class=\"phd-footnote\"\u003eAll ports are on the rear panel. Linking two systems requires a compatible QSFP cable and a second Dell Pro Max with GB10.\u003c\/p\u003e\n\u003c\/section\u003e\n\u003csection class=\"phd-supply\" id=\"hardware-included\"\u003e\n  \u003cdiv\u003e\n\u003cp class=\"phd-eyebrow\"\u003eSupplied with this listing\u003c\/p\u003e\n\u003ch2\u003eWhat's included\u003c\/h2\u003e\n\u003cul\u003e\n    \u003cli\u003eDell Pro Max with GB10 FCM1253 system, Dell part number T9WMV\u003c\/li\u003e\n    \u003cli\u003e128GB LPDDR5X unified memory and 2TB M.2 NVMe SSD, installed\u003c\/li\u003e\n    \u003cli\u003eNVIDIA DGX OS 7\u003c\/li\u003e\n    \u003cli\u003eWi-Fi 7 and Bluetooth 5.4 wireless module\u003c\/li\u003e\n    \u003cli\u003e280W USB-C power adapter\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n  \u003cdiv\u003e\n\u003cp class=\"phd-eyebrow\"\u003ePlan your setup\u003c\/p\u003e\n\u003ch2\u003eWhat you'll need\u003c\/h2\u003e\n\u003cul\u003e\n    \u003cli\u003eAn internet connection during first setup; Dell's setup steps use the 10GbE RJ-45 port\u003c\/li\u003e\n    \u003cli\u003eA display, keyboard and mouse, or a Wi-Fi device to complete Dell's wireless setup\u003c\/li\u003e\n    \u003cli\u003eHDMI or USB-C DisplayPort cabling suited to your display\u003c\/li\u003e\n    \u003cli\u003eA compatible QSFP cable and a second Dell Pro Max with GB10 to link two systems\u003c\/li\u003e\n    \u003cli\u003eSoftware and containers built for Linux on 64-bit Arm (aarch64), plus the model weights and any licences your workload requires\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003csection class=\"phd-faq\" id=\"hardware-questions\" aria-label=\"Before you order\"\u003e\n  \u003cdetails\u003e\u003csummary\u003eWhat kind of AI work is it suited to?\u003c\/summary\u003e\u003cdiv\u003e\n\u003cp\u003eDell and NVIDIA position GB10 systems for local AI development: prototyping applications and agents, fine-tuning, inference and data science, as well as developing edge and robotics applications. The shared 128GB memory can hold larger models than a graphics card with less dedicated memory, and the NVIDIA software stack helps projects move to larger NVIDIA systems later.\u003c\/p\u003e\n\u003cp\u003eIt is a development and inference system rather than a replacement for multi-GPU servers used for large-scale training.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n  \u003cdetails\u003e\u003csummary\u003eHow large a model can I run in 128GB?\u003c\/summary\u003e\u003cdiv\u003e\u003cp\u003eDell quotes models of up to 200 billion parameters for this system. NVIDIA gives the same figure for FP4-precision inference on GB10, and up to 70 billion parameters for fine-tuning. These are upper limits, not guarantees. Memory is shared with the operating system and your applications, and requirements grow with higher precision, longer context and larger batches. Check your model's memory needs in the framework you plan to use.\u003c\/p\u003e\u003c\/div\u003e\u003c\/details\u003e\n  \u003cdetails\u003e\u003csummary\u003eCan I run Windows or x86 software on it?\u003c\/summary\u003e\u003cdiv\u003e\u003cp\u003eIt comes with NVIDIA DGX OS 7, the operating system Dell lists for this model. DGX OS is Ubuntu-based Linux running on Arm, so applications and containers need 64-bit Arm (aarch64) builds. It is not a Windows PC; check your toolchain before ordering.\u003c\/p\u003e\u003c\/div\u003e\u003c\/details\u003e\n  \u003cdetails\u003e\u003csummary\u003eCan I connect two systems together?\u003c\/summary\u003e\u003cdiv\u003e\u003cp\u003eYes. Dell specifies one of the two 200Gbps QSFP ports for connecting a second Dell Pro Max with GB10, and quotes models of up to 400 billion parameters across the pair. You will need a compatible QSFP cable and software that supports distributed inference or training.\u003c\/p\u003e\u003c\/div\u003e\u003c\/details\u003e\n  \u003cdetails\u003e\u003csummary\u003eCan I upgrade the memory or storage?\u003c\/summary\u003e\u003cdiv\u003e\u003cp\u003eThe 128GB of memory is onboard and cannot be expanded. The system has one M.2 2230\/2242 SSD position, already fitted with the 2TB drive, and no expansion slots. Plan additional storage for models and datasets through the USB-C ports or the network.\u003c\/p\u003e\u003c\/div\u003e\u003c\/details\u003e\n  \u003cdetails\u003e\u003csummary\u003eHow does the Dell manufacturer warranty relate to Percepta's warranty?\u003c\/summary\u003e\u003cdiv\u003e\u003cp\u003ePercepta's warranty for this listing is shown in the buying information. Dell's manufacturer warranty is separate and is provided by Dell under Dell's own terms. Your statutory rights are unaffected.\u003c\/p\u003e\u003c\/div\u003e\u003c\/details\u003e\n  \u003cdetails\u003e\u003csummary\u003eManufacturer documentation\u003c\/summary\u003e\u003cdiv\u003e\u003cul\u003e\n    \u003cli\u003e\u003ca href=\"https:\/\/www.dell.com\/en-uk\/shop\/desktop-computers\/dell-pro-max-with-gb10\/spd\/dell-pro-max-fcm1253-micro\" target=\"_blank\" rel=\"noopener\"\u003eDell Pro Max with GB10 product page (Dell UK)\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"https:\/\/www.delltechnologies.com\/asset\/en-gb\/products\/workstations\/technical-support\/dell-pro-max-with-gb10-workstation-brochure-and-spec-sheet.pdf.external\" target=\"_blank\" rel=\"noopener\"\u003eDell Pro Max with GB10 brochure and specification sheet (PDF)\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"https:\/\/dl.dell.com\/content\/manual509804-dell-pro-max-with-gb10-fcm1253-owner-s-manual.pdf?language=en-us\" target=\"_blank\" rel=\"noopener\"\u003eDell Pro Max with GB10 FCM1253 owner's manual (PDF)\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/dgx-spark\/\" target=\"_blank\" rel=\"noopener\"\u003eNVIDIA DGX Spark - GB10 platform, workloads and software\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"https:\/\/docs.nvidia.com\/dgx\/dgx-spark\/hardware.html\" target=\"_blank\" rel=\"noopener\"\u003eNVIDIA GB10 hardware overview (DGX Spark user guide)\u003c\/a\u003e\u003c\/li\u003e\n  \u003c\/ul\u003e\u003c\/div\u003e\u003c\/details\u003e\n\u003c\/section\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":60991635063118,"sku":"T9WMV","price":5995.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1078\/0213\/2814\/files\/desktop-dell-pro-max-fcm1253-micro-bk-gallery-1.png?v=1790638963","url":"https:\/\/shop.perceptasolutions.com\/products\/dell-pro-max-with-gb10-fcm1253-128gb-2tb","provider":"Percepta Solutions","version":"1.0","type":"link"}