{"product_id":"hp-zgx-fury-g1n-ai-station-nvidia-dgx-station-gb300","title":"HP ZGX Fury G1n AI Station (NVIDIA DGX Station GB300)","description":"\u003ch2\u003eProduct features \u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eCPU \u0026amp; GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eProcessor: 1x NVIDIA® Grace\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003e™\u003c\/span\u003e 72-core Neoverse V2 CPU (ARM-based)\u003c\/li\u003e\n\u003cli\u003eGPU: 1x NVIDIA® Blackwell Ultra GPU\u003c\/li\u003e\n\u003cli\u003eMIG: Multi-instance GPU for up to 7 MIGs\u003c\/li\u003e\n\u003cli\u003eoptional: 1x dedicated NVIDIA® Blackwell GPU for graphics rendering, e.g. RTX Pro™  2000 Blackwell\u003cmeta charset=\"utf-8\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eRAM\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003etotal coherent memory: 748GB, linked via NVLink\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003e®\u003c\/span\u003e-C2C, at 900 GB\/s interconnect bandwidth\u003c\/li\u003e\n\u003cli\u003eCPU memory: 496GB ECC LPDDR5X, 396 GB\/s memory bandwidth (SOCAMM, 6400 MT\/s)\u003c\/li\u003e\n\u003cli\u003eGPU memory: 252GB ECC HBM3e, 7.1 TB\/s memory bandwidth\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDual-port QSFP112 400GbE LAN via NVIDIA ConnectX-8 SuperNIC (= 800 Gbit\/s bandwidth total)\u003c\/li\u003e\n\u003cli\u003e1x RJ45 10GbE LAN port\u003c\/li\u003e\n\u003cli\u003e1x RJ45 1GbE Dedicated BMC LAN port\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e4x M.2 PCIe 5.0 x4 NVMe (M-key 2280)\u003c\/li\u003e\n\u003cli\u003epopulated with 4x 2TB or 4x 4TB SSDs - configurable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003einternal storage options:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e2 TB HP Z Turbo Drive PCIe® M.2 SSD\u003c\/li\u003e\n\u003cli\u003e4 TB HP Z Turbo Drive PCIe® M.2 SSD\u003c\/li\u003e\n\u003cli\u003e2 TB Z Turbo PCIe NVMe™ M.2 SED NMIC SSD\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Slots\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e1x PCIe Gen 5 x16 FHFL double-width, for GPUs\u003c\/li\u003e\n\u003cli\u003e2x PCIe Gen 5 x8 (in x16) FHHL \u003c\/li\u003e\n\u003cli\u003e1x M.2 PCIe 2.0 x1 slot (E-Key 2230))\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eFront IO Ports and Connectors\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e2x USB 3.2 Gen2 port (Type-C, 10 Gbit\/s)\u003c\/li\u003e\n\u003cli\u003e2x USB 3.2 Gen1 ports (Type-A, 5 Gbit\/s)\u003c\/li\u003e\n\u003cli\u003e1x unviersal audio jack\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eRear IO Ports and Connectors\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e4x USB 3.2 Gen2 ports (Type-A, 10 Gbit\/s)\u003c\/li\u003e\n\u003cli\u003e2x QSFP ports (400Gb per port)\u003c\/li\u003e\n\u003cli\u003e1x RJ45 port 10 Gbit\/s Ethernet\u003c\/li\u003e\n\u003cli\u003e1x BMC management port RJ45 1 Gbit\/s Ethernet\u003c\/li\u003e\n\u003cli\u003e1x mini-DP 2.0 (video port, 1920 x 1080 @ 60 Hz)\u003c\/li\u003e\n\u003cli\u003e1x microUSB port (for BMC management)\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e1x microphone port\u003c\/li\u003e\n\u003cli\u003e1x audio-in\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e1x audio line-out\u003cmeta charset=\"utf-8\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eOS \u0026amp; security\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOS: Ubuntu 24.04 LTS with NVIDIA AI Developer Tools\u003c\/li\u003e\n\u003cli\u003epre-installed with essential CUDA-X™ libraries\u003c\/li\u003e\n\u003cli\u003eHP Z Runtime, compatible with HP ZGX Toolkit for Visual Studio Code client devices\u003c\/li\u003e\n\u003cli\u003e\n\u003cp class=\"p1\"\u003eTrusted Platform Module (TPM) 2.0\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eUEFI version 2.9\u003c\/li\u003e\n\u003cli\u003eUEFI secure boot\u003c\/li\u003e\n\u003cli\u003e\n\u003cp class=\"p1\"\u003eNVIDIA approved partner-developed BIOS\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp class=\"p1\"\u003eNVIDIA approved partner-developed BMC\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eKensington Cable lock\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eIT manageability and enterprise features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eout-of-band telemetry via BMC\u003c\/li\u003e\n\u003cli\u003eRedfish API support\u003c\/li\u003e\n\u003cli\u003eNVIDIA Data Center GPU Manager\u003c\/li\u003e\n\u003cli\u003evisibility, monitoring, remote management capabilities\u003c\/li\u003e\n\u003cli\u003ehardware root of trust\u003c\/li\u003e\n\u003cli\u003eenterprise secure boot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDimensions, weight, form factor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eForm factor: desktop tower, rack-mountable with accessory kit (included)\u003c\/li\u003e\n\u003cli\u003eheight: 446 mm \/ 17.56''\u003c\/li\u003e\n\u003cli\u003ewidth: 221.5 mm \/ 8.72''\u003c\/li\u003e\n\u003cli\u003edepth: 667 mm \/ 26.26''\u003c\/li\u003e\n\u003cli\u003epackaging dimensions: 806.5 x 589 x 435 mm (31.75 x 23.19 x 17.125 inch)\u003c\/li\u003e\n\u003cli\u003enet weight: starting at 41kg, exeact weight depends upon the configuration\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eSystem cooling\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ecooling system: closed-loop liquid cooling (suitable for office use)\u003c\/li\u003e\n\u003cli\u003eliquid cooling: Direct to Chip (D2C) Cold Plate\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePower supply\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003epower supply: 1x 1600W Titanium power supply, 100 - 240V\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eMisc\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ecertification and compliance: TAA compliant\u003c\/li\u003e\n\u003cli\u003erack rails for rack configuration option included\u003c\/li\u003e\n\u003cli\u003eoperating temperature: TBD\u003c\/li\u003e\n\u003cli\u003estorage temperature:\u003cmeta charset=\"utf-8\"\u003e TBD\u003c\/li\u003e\n\u003cli\u003eoperating relative humidity: \u003cmeta charset=\"utf-8\"\u003e TBD (non-condensing)\u003c\/li\u003e\n\u003cli\u003estorage relative humidity: \u003cmeta charset=\"utf-8\"\u003e TBD (non-condensing) \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch2\u003eAI performance\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eFP4 Tensor core: 20 PFLOPS \/ 15 PFLOPS without sparsity\u003c\/li\u003e\n\u003cli\u003eFP8 \/ FP6 Tensor core: 10 PFLOPS\u003c\/li\u003e\n\u003cli\u003eInt8 Tensor Core: 330 TOPS\u003c\/li\u003e\n\u003cli\u003eFP16\/BF16 Tensor Core: 5 PFLOPS\u003c\/li\u003e\n\u003cli\u003eTF32 Tensor Core: 2.5 PFLOPS\u003c\/li\u003e\n\u003cli\u003eFP32: 80 TFLOPS\u003c\/li\u003e\n\u003cli\u003eFP64 \/ FP64 Tensor Core: 1.3 TFLOPS\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eProduct description\u003c\/h2\u003e\n\u003cp\u003eThe HP ZGX Fury G1n AI Station is an NVIDIA DGX Station based on the GB300 Grace™ Blackwell superchip. It can be used for running local AI applications for development and production purposes. \u003c\/p\u003e\n\u003cp\u003eExample AI applications include LLM inference for frontier models of up to 1 Trillion parameters, scientific workloads (e.g. BioNeMo), finetuning 100 billion class models, hosting AI agents, and running RAGs for AI-enhanced document workflows. In particular it is well-suited to run MoE (mixture of experts) models. \u003c\/p\u003e\n\u003cp\u003eThanks to its MIG feature and its massive memory throughput it can be run headless to support several colleagues in a local workgroup. \u003c\/p\u003e\n\u003cp\u003eCompared to server systems, or heavy multi-GPU systems, it runs cooler and quieter, and is uniquely suited for office use. Its server-grade management features, such as the integrated BMC, the Redfish API support, and enterprise secure boot allow to integrate it into a corporate IT management landscape.\u003c\/p\u003e\n\u003cp\u003eTwo ZGX Fury G1n AI Station DGX Stations can be joined using the Dual-port QSFP112 400GbE LAN to serve even bigger models, increase precision, or general model performance.\u003c\/p\u003e\n\u003cp\u003eThe HP ZGX Fury AI Station offers two distinct features from other DGX Station vendors:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIncluded HP ZGX Toolkit \/ HP ZU Runtime CLI software - this allows you to link two HP DGX Stations effortlessly, and quickly pull and deploy Hugging Face models, MLflow tracking and Ollama testing\u003c\/li\u003e\n\u003cli\u003eRack-mount rails for rack configuration are included in the package\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eA separately obtainable NVIDIA AI Enterprise software license provides a suite of software tools, libraries, and frameworks to fast-track your AI deployment on the HP ZGX Fury DGX Station GB300. \u003c\/p\u003e\n\u003ch2\u003eOptional GPUs\u003c\/h2\u003e\n\u003cp\u003eOne of the following optional GPUs can be added into the system to add graphics output options, and for scientific simulation and rendering workloads:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eNVIDIA RTX PRO™  4000 Blackwell Generation (24 GB DDR7 dedicated)\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eNVIDIA RTX PRO™  2000 Blackwell Generation (16 GB DDR7 dedicated)\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDatasheets, manuals and additional downloads\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eTBD\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eOfficial business partner\u003c\/h2\u003e\n\u003cp\u003epi3g GmbH \u0026amp; Co. KG (operating buyzero.de) is an official business partner of HP, reseller of the HP ZGX Fury G1n AI Station and other HP AI Solutions.\u003c\/p\u003e\n\u003ch2\u003eLead time \u0026amp; purchase\u003c\/h2\u003e\n\u003cp\u003eThis product is available on pre-order with a current lead time of about 8-12 weeks. \u003ca href=\"https:\/\/buyzero.de\/pages\/kontakt\"\u003eContact us to purchase it.\u003c\/a\u003e\u003c\/p\u003e\n\u003ch2\u003eAdditional SKUs and codes \u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eTBD\u003cmeta charset=\"utf-8\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"HP","offers":[{"title":"Default Title","offer_id":53284219879691,"sku":"hp-zgx-fury-g1n-ai-station","price":130000.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/HP-ZGX-Fury-G1n-AI-Station-NVIDIA-DGX-Station-GB300-hero_3ea1fce7-c866-45a4-a8be-c1a50ae5fb47.png?v=1785680047","url":"https:\/\/buyzero.de\/en\/products\/hp-zgx-fury-g1n-ai-station-nvidia-dgx-station-gb300","provider":"buyzero.de","version":"1.0","type":"link"}