{"title":"Workstations","description":null,"products":[{"product_id":"asus-ascent-gx10-gx10-gg0004bn-128gb-1tb-ai-supercomputer","title":"ASUS Ascent GX10 Desktop AI Supercomputer – NVIDIA GB10, 128GB Unified Memory, 1TB SSD","description":"\u003cp class=\"PDq2pG_selectionAnchorContainer\"\u003eBring petaflop-scale AI computing directly to your workspace with the ASUS Ascent GX10, a compact desktop AI supercomputer designed for AI developers, researchers, data scientists and machine-learning professionals.\u003cspan class=\"PDq2pG_selectionAnchor\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eThe Ascent GX10 is powered by the NVIDIA GB10 Grace Blackwell Superchip, combining a 20-core Arm processor with an integrated NVIDIA Blackwell GPU. Fifth-generation Tensor Cores and FP4 support deliver up to 1 petaFLOP of AI performance for local model prototyping, fine-tuning and inference.\u003c\/p\u003e\n\u003cp\u003eIts 128GB LPDDR5x coherent unified system memory provides the capacity to work locally with AI models containing up to 200 billion parameters. The included 1TB M.2 NVMe PCIe 4.0 SSD provides high-speed storage for models, datasets and development tools. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA DGX OS provides an Ubuntu-based, AI-optimized development environment. The NVIDIA AI software stack supports widely used frameworks and tools such as CUDA, PyTorch, TensorFlow, Jupyter, TensorRT, NVIDIA NIM and NVIDIA Blueprints.\u003c\/p\u003e\n\u003cp\u003eIntegrated NVIDIA ConnectX-7 networking enables high-speed communication and allows two compatible Ascent GX10 systems to be linked for larger workloads, including models containing as many as 405 billion parameters.\u003c\/p\u003e\n\u003cp\u003eDespite its powerful capabilities, the Ascent GX10 measures only 150 × 150 × 51mm. Wi-Fi 7, Bluetooth 5.4, 10Gb Ethernet, HDMI and four high-speed USB-C connections provide comprehensive connectivity for modern AI-development environments. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eBOX INCLUDES\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1 × ASUS Ascent GX10 AI Supercomputer\u003cbr\u003e1 × 240W AC Power Adapter\u003cbr\u003e1 × Power Cord\u003cbr\u003e1 × 0.4m QSFP Cable\u003cbr\u003e1 × User Manual\u003cbr\u003e1 × Warranty Card\u003c\/p\u003e","brand":"ASUS","offers":[{"title":"Default Title","offer_id":53931462820123,"sku":"GX10-GG0004BN","price":23199.0,"currency_code":"AED","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0797\/7077\/9931\/files\/w692_1.png?v=1789208524"},{"product_id":"nvidia-dgx-spark-gb10-128gb-4tb-ai-supercomputer","title":"NVIDIA DGX Spark Personal AI Supercomputer – GB10 Grace Blackwell, 128GB Unified Memory, 4TB NVMe SSD","description":"\u003cp class=\"PDq2pG_selectionAnchorContainer\"\u003eDevelop, fine-tune and run advanced artificial-intelligence models locally with NVIDIA DGX Spark—a compact personal AI supercomputer built on the same NVIDIA Grace Blackwell architecture used across modern AI infrastructure.\u003cspan class=\"PDq2pG_selectionAnchor\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eAt its core is the NVIDIA GB10 Grace Blackwell Superchip, combining a 20-core Arm CPU with an integrated NVIDIA Blackwell GPU. Fifth-generation Tensor Cores support FP4 processing and deliver up to 1 petaFLOP of theoretical AI performance for generative AI, machine learning, computer vision, data science and model inference.\u003c\/p\u003e\n\u003cp\u003eThe processor features ten high-performance Arm Cortex-X925 cores and ten Cortex-A725 cores. This hybrid CPU architecture handles application processing, data preparation and system operations while the integrated Blackwell GPU accelerates AI workloads.\u003c\/p\u003e\n\u003ch3\u003eUnified Memory for Large AI Models\u003c\/h3\u003e\n\u003cp\u003eDGX Spark includes 128GB of LPDDR5x coherent unified system memory shared between the CPU and GPU. Unlike conventional systems with separate system RAM and graphics memory, its unified architecture allows both processors to work within the same large memory pool.\u003c\/p\u003e\n\u003cp\u003eThe 256-bit memory interface delivers bandwidth of up to 273GB\/s. A single DGX Spark can support compatible AI models containing as many as 200 billion parameters, depending on model architecture, precision and quantization.\u003c\/p\u003e\n\u003ch3\u003e4TB Self-Encrypting Storage\u003c\/h3\u003e\n\u003cp\u003eThe integrated 4TB NVMe M.2 solid-state drive provides high-speed storage for AI models, datasets, containers, development environments and project files.\u003c\/p\u003e\n\u003cp\u003eSelf-encryption provides hardware-level protection for stored information, making DGX Spark suitable for professional environments working with private datasets, proprietary models and sensitive development projects.\u003c\/p\u003e\n\u003ch3\u003eComplete NVIDIA AI Development Platform\u003c\/h3\u003e\n\u003cp\u003eNVIDIA DGX OS is an Ubuntu-based Linux operating system optimized for accelerated AI workloads. The system includes the NVIDIA AI software stack, allowing developers to begin working with established tools and frameworks without building the complete environment from scratch.\u003c\/p\u003e\n\u003cp\u003eSupported development technologies include:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA CUDA\u003c\/li\u003e\n\u003cli\u003ePyTorch\u003c\/li\u003e\n\u003cli\u003eJupyter\u003c\/li\u003e\n\u003cli\u003eOllama\u003c\/li\u003e\n\u003cli\u003eNVIDIA TensorRT\u003c\/li\u003e\n\u003cli\u003eNVIDIA NIM microservices\u003c\/li\u003e\n\u003cli\u003eNVIDIA Blueprints\u003c\/li\u003e\n\u003cli\u003eContainerized AI development workflows\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eProjects developed locally can be transferred to compatible NVIDIA-accelerated cloud or data-centre environments with fewer architecture changes.\u003c\/p\u003e\n\u003ch3\u003eDual-System Scalability\u003c\/h3\u003e\n\u003cp\u003eThe integrated NVIDIA ConnectX-7 SmartNIC allows two compatible DGX Spark systems to be connected through a supported QSFP interconnect cable.\u003c\/p\u003e\n\u003cp\u003eA two-system configuration provides 256GB of combined unified memory and can support compatible AI models containing up to 405 billion parameters. This makes it possible to expand beyond a single system without immediately moving development to large data-centre infrastructure.\u003c\/p\u003e\n\u003cp\u003eThe QSFP interconnect cable is sold separately.\u003c\/p\u003e\n\u003ch3\u003eAdvanced Connectivity\u003c\/h3\u003e\n\u003cp\u003eDGX Spark includes 10Gb Ethernet, Wi-Fi 7 and Bluetooth 5.4 for high-speed wired and wireless networking.\u003c\/p\u003e\n\u003cp\u003eFour USB Type-C connections support peripherals and external storage, with up to three DisplayPort outputs available through USB-C Alternate Mode. An HDMI 2.1a output supports compatible monitors and multichannel audio.\u003c\/p\u003e\n\u003ch3\u003eCompact Desktop Design\u003c\/h3\u003e\n\u003cp\u003eMeasuring only 150 × 150 × 50.5mm and weighing approximately 1.2kg, DGX Spark delivers powerful AI capabilities in a small-form-factor desktop enclosure.\u003c\/p\u003e\n\u003cp\u003eIt is suited to AI developers, researchers, universities, data scientists, technology companies and businesses that require local AI experimentation while keeping models and data within their own environment.\u003c\/p\u003e\n\u003ch3\u003eIdeal Applications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eGenerative AI development\u003c\/li\u003e\n\u003cli\u003eLarge language model inference\u003c\/li\u003e\n\u003cli\u003eModel prototyping and fine-tuning\u003c\/li\u003e\n\u003cli\u003eRetrieval-augmented generation\u003c\/li\u003e\n\u003cli\u003eAI agent development\u003c\/li\u003e\n\u003cli\u003eComputer vision\u003c\/li\u003e\n\u003cli\u003eData science and analytics\u003c\/li\u003e\n\u003cli\u003eRobotics development\u003c\/li\u003e\n\u003cli\u003eEducational AI laboratories\u003c\/li\u003e\n\u003cli\u003ePrivate and on-premises AI workloads\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eBox Includes\u003c\/h3\u003e\n\u003cp\u003e1 × NVIDIA DGX Spark Personal AI Supercomputer\u003cbr\u003e1 × 240W External Power Adapter\u003cbr\u003e1 × Regional Power Cord\u003cbr\u003e1 × Quick Start Documentation\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":53933422543131,"sku":"DGXSPARK-FOUNEDIT-UK","price":24499.0,"currency_code":"AED","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0797\/7077\/9931\/files\/9990420a-32a3-42ba-a6be-f664e950012d.webp?v=1789217484"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0797\/7077\/9931\/collections\/AI-Workstation-1.webp?v=1789208201","url":"https:\/\/emaratgamers.ae\/collections\/workstations.oembed","provider":"emaratgamers.ae","version":"1.0","type":"link"}