{"product_id":"hp-zgx-nano-g1n-ai-128-gb-lpddr5x-sdram-linux-mini-pc-ai-workstation-ai-pc-d4db3etabu","title":"HP ZGX Nano G1n AI 128 GB LPDDR5x-SDRAM Linux Mini PC AI Workstation, AI PC","description":"\u003cstyle\u003etable.generic tr th {background: #eee;}\u003c\/style\u003eZGX Nano G1n AI Station, NVIDIA DGX OS, NVIDIA 128GB RAM, 2TB SSD, AI Workstation; AI PC\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA GB10 Grace Blackwell Superchip (20-core Arm, 10 Cortex-X925 and 10 Cortex-A725)\u003c\/li\u003e\n\u003cli\u003eNVIDIA DGX OS\u003c\/li\u003e\n\u003cli\u003eNVIDIA Blackwell GPU Architecture\u003c\/li\u003e\n\u003cli\u003e128 GB LPDDR5x-8533 MT\/s (onboard), 2 TB PCIe Gen4 NVMe TLC M.2 SSD\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eReasons To Buy\u003c\/h2\u003e\u003ch4\u003eNVIDIA DGXTM OSand AI softwarestack\u003c\/h4\u003eHit the ground prototyping, fine-tuning, and inferencing with familiarNVIDIA DGXTM OS and integrated NVIDIA AI software stack purpose-built for modern AI development.\u003ch4\u003eNVIDIA GB10 GraceBlackwell Superchip\u003c\/h4\u003eGet up to 1000 TOPS of AI compute at FP4 precision with an NVIDIABlackwell GPU. Supercharge data preprocessing and orchestration with aGrace 20-core Arm CPU.\u003csup\u003e[3]\u003c\/sup\u003e\u003ch4\u003eUnified systemmemory\u003c\/h4\u003eRun AI development and testing workloads with AI models of up to 200billion parameters at your desk with 128 GB of coherent unified systemmemory.\u003ch4\u003eNVIDIA ConnectX Networking\u003c\/h4\u003eWork with even larger AI models locally—up to 405 billion parameters—by connecting two HP ZGX Nano systems together to scale localcompute resources.\u003csup\u003e[4]\u003c\/sup\u003e\u003ch4\u003eTiny AI powerhouse\u003c\/h4\u003eMeasuring at 150mm L x 150mm W x 51mm H,5 this new class ofdesktop is purpose-built for AI development yet fits in the palm of yourhand.\u003csup\u003e[5]\u003c\/sup\u003e\u003ch4\u003eBig AI performance. Tiny footprint.\u003c\/h4\u003ePrototype, fine-tune, and inference models of up to 200B parameters locally. Powered by NVIDIA GB10 Grace Blackwell Superchip\u003csup\u003e[2]\u003c\/sup\u003e and 128 GB of coherent unified memory, the HP ZGX Nano delivers 1,000 TOPS of FP4 AI performance in a compact desktop.\u003ch4\u003eHP ZGX Toolkit: Accelerate time to results\u003c\/h4\u003eMove from idea to deployment faster. The ZGX Toolkit\u003csup\u003e[1]\u003c\/sup\u003e streamlines AI workflows by pairing powerful local compute with open-source tools, built-in discovery, and easy export—helping teams cut friction, boost productivity, and scale results anywhere.\u003ch4\u003eOffload AI workloads without the cloud\u003c\/h4\u003ePair existing laptop and desktop systems—Windows, Mac, or Linux—with a network-connected HP ZGX Nano. Get developer-grade performance without data center queues and costly cloud instances, minimizing latency and keeping sensitive information local.\u003ch4\u003eAdvance edge AI solutions\u003c\/h4\u003eRealize the true potential of edge AI solutions. From real-time computer vision to running agentic and domain-specific models locally, get the performance needed to deploy intelligent, responsive solutions directly where data is generated.\u003ch2\u003eDescription\u003c\/h2\u003e\u003cb\u003eAI supercomputing goes Nano\u003c\/b\u003e\u003cbr\u003eAccelerate AI workflows with HP ZGX Nano and ZGX Toolkit\u003csup\u003e[1]\u003c\/sup\u003e, high-performance local compute combined with a curated open-source stack for prototyping, fine-tuning and inferencing. Built-in IP discovery, model export and local serving reduce friction, ensuring repeatable, deployment-ready results.\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable class=\"generic\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eProcessor\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor cores\u003c\/td\u003e\n\u003ctd\u003e20\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eMemory\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInternal memory\u003c\/td\u003e\n\u003ctd\u003e128 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum internal memory\u003c\/td\u003e\n\u003ctd\u003e128 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInternal memory type\u003c\/td\u003e\n\u003ctd\u003eLPDDR5x-SDRAM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory clock speed\u003c\/td\u003e\n\u003ctd\u003e8533 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eStorage\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNumber of storage drives installed\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eGraphics\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOn-board graphics card\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eNetwork\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet LAN\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWi-Fi\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth version\u003c\/td\u003e\n\u003ctd\u003e5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWi-Fi standards\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7 (802.11be)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWLAN controller model\u003c\/td\u003e\n\u003ctd\u003eMediaTek MT7925\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTop Wi-Fi standard\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7 (802.11be)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAntenna type\u003c\/td\u003e\n\u003ctd\u003e2x2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWLAN controller manufacturer\u003c\/td\u003e\n\u003ctd\u003eMediaTek\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003ePorts \u0026amp; interfaces\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDMI version\u003c\/td\u003e\n\u003ctd\u003e2.1a\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDMI ports quantity\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB 3.2 Gen 2x2 Type-C ports quantity\u003c\/td\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003ePower\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply\u003c\/td\u003e\n\u003ctd\u003e280 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eTechnical details\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis type\u003c\/td\u003e\n\u003ctd\u003eMini PC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUNSPSC-code\u003c\/td\u003e\n\u003ctd\u003e43211515\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSustainable technologies and materials\u003c\/td\u003e\n\u003ctd\u003eAt least 40% post-consumer recycled plastic; At least 60% post-consumer recycled plastic; At least 75% recycled aluminum; At least 20% post-industrial recycled steel; HP paper-based packaging is from recycled or certified sources\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHP GTIN (EAN\/UPC)\u003c\/td\u003e\n\u003ctd\u003e199896740012\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eDesign\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis type\u003c\/td\u003e\n\u003ctd\u003eMini PC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eSoftware\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system installed\u003c\/td\u003e\n\u003ctd\u003eLinux\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eBrand-specific features\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHP segment\u003c\/td\u003e\n\u003ctd\u003eBusiness\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHP Artificial Intelligence\u003c\/td\u003e\n\u003ctd\u003eAI Workstation, AI PC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHP GTIN (EAN\/UPC)\u003c\/td\u003e\n\u003ctd\u003e199896740012\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eWeight \u0026amp; dimensions\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage width\u003c\/td\u003e\n\u003ctd\u003e216 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage depth\u003c\/td\u003e\n\u003ctd\u003e142 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage height\u003c\/td\u003e\n\u003ctd\u003e272 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWidth\u003c\/td\u003e\n\u003ctd\u003e150 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepth\u003c\/td\u003e\n\u003ctd\u003e150 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeight\u003c\/td\u003e\n\u003ctd\u003e150 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage weight\u003c\/td\u003e\n\u003ctd\u003e2.5 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e1.25 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003ePackaging data\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage width\u003c\/td\u003e\n\u003ctd\u003e216 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage depth\u003c\/td\u003e\n\u003ctd\u003e142 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage height\u003c\/td\u003e\n\u003ctd\u003e272 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage weight\u003c\/td\u003e\n\u003ctd\u003e2.5 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eSustainability\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSustainable technologies and materials\u003c\/td\u003e\n\u003ctd\u003eAt least 40% post-consumer recycled plastic; At least 60% post-consumer recycled plastic; At least 75% recycled aluminum; At least 20% post-industrial recycled steel; HP paper-based packaging is from recycled or certified sources\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth colspan=\"2\" class=\"text-left\"\u003eOther features\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOn-board graphics card\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUNSPSC-code\u003c\/td\u003e\n\u003ctd\u003e43211515\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e","brand":"HP","offers":[{"title":"Default Title","offer_id":54668184879388,"sku":"D4DB3ET#ABU","price":5342.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0782\/9726\/8508\/files\/W3bR0QF620eUn_5IHPizxw.c-m.jpg?v=1791352712","url":"https:\/\/gkndirect.co.uk\/products\/hp-zgx-nano-g1n-ai-128-gb-lpddr5x-sdram-linux-mini-pc-ai-workstation-ai-pc-d4db3etabu","provider":"GKN Direct","version":"1.0","type":"link"}