HP ZGX Fury G1n NVIDIA DGX Station GB300 AI Workstation
PRODUCT DESCRIPTION
HP ZGX Fury AI Station G1n NVIDIA DGX Station GB300 Grace Blackwell Ultra AI Workstation, 748GB Coherent Memory, 20 PFLOPS, Dual 400G ConnectX-8, Liquid-Cooled Rackable Tower (E6ZS0PT / E6ZS5PT) - 3 Years Local Warranty
HP ZGX Fury AI Station G1n — NVIDIA DGX Station GB300 AI Workstation with 3-Year Onsite Warranty
The HP ZGX Fury AI Station G1n is HP's build of the NVIDIA DGX Station GB300 platform: an NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip pairing a 72-core Grace CPU with a Blackwell Ultra GPU across 748 GB of coherent memory, delivering up to 20 petaFLOPS of FP4 AI compute for training, fine-tuning and deploying LLMs of up to 1 trillion parameters, AI agents, generative AI and scientific simulation — entirely within your own infrastructure.
Unlike other GB300 stations, the ZGX Fury G1n is backed in Singapore by HP's 3-year (3/3/3) limited warranty covering parts, labour and onsite repair, and it is available in factory-built configurations with an NVIDIA RTX PRO Blackwell display GPU and up to 12 TB of HP Z Turbo Drive PCIe Gen5 NVMe storage. It is the natural choice for enterprises, financial institutions, government agencies and research institutes that already standardise on HP Z workstations and want data-centre-class AI with a familiar support model.
748 GB Coherent Unified Memory for Frontier-Scale Models
252 GB of HBM3e GPU memory at 7.1 TB/s and 496 GB of LPDDR5X CPU memory (four 128 GB SOCAMM modules) at 396 GB/s unite over the 900 GB/s NVLink-C2C link into a single 748 GB coherent memory space — enough to load trillion-parameter models, run long-context RAG pipelines, fine-tune foundation models and drive digital-twin and engineering simulation without CPU–GPU offloading. Multi-Instance GPU (MIG) partitions the Blackwell Ultra GPU into up to seven instances for shared team use.
Factory Configurations — RTX PRO 2000 or RTX PRO 4000 Blackwell, 8 TB or 12 TB NVMe
Every ZGX Fury G1n shares the same GB300 Superchip, 748 GB coherent memory, 72-core Grace CPU, dual 400G ConnectX-8 networking and 3/3/3 warranty; the configurations differ in the professional display GPU and NVMe storage. E6ZS0PT#AB4 pairs an NVIDIA RTX PRO 2000 Blackwell (16 GB GDDR7) with 4 × 2 TB HP Z Turbo Drive PCIe Gen5 NVMe SSDs (8 TB). E6ZS5PT#AB4 steps up to an NVIDIA RTX PRO 4000 Blackwell SFF (24 GB GDDR7) with 2 × 2 TB + 2 × 4 TB NVMe (12 TB). A headless configuration with no discrete graphics card and 4 × 2 TB self-encrypting drives (SED) is available to order for remote-accessed or compliance-driven deployments — part number confirmed at quotation. Select your configuration from the dropdown above.
Dual 400G ConnectX-8 Networking, Gen5 / Gen6 NVMe and PCIe 5.0 Expansion
Two QSFP112 ports on the NVIDIA ConnectX-8 SuperNIC run at 400 Gb/s each (up to 800 Gb/s) for distributed training, private AI clusters and NVMe-over-fabric storage, alongside a 10 GbE RJ45 port for site networking and a dedicated 1 GbE BMC port for out-of-band management. Two embedded M.2 PCIe Gen5 slots off the CPU hold the OS in software RAID 1, and two M.2 PCIe Gen6 slots off the ConnectX-8 hold data in software RAID 0 — all SED-capable. Three PCIe slots (one Gen5 x16 and two Gen5 x16 at x8 electrical) take the display GPU and further NICs or accelerators.
Liquid-Cooled Rackable Tower with HP Z Runtime and Z Toolkit
HP builds the ZGX Fury G1n as a liquid-cooled rackable tower — 44.6 × 22.15 × 66.7 cm in standard tower orientation, starting at 41 kg — so it can sit beside a desk today and move into a rack later without a chassis change. It ships with Ubuntu 24.04 LTS and the NVIDIA AI Developer Tools, plus HP Z Runtime and HP Z Toolkit for streamlined AI environment setup, on NVIDIA-approved partner-developed BIOS and BMC firmware.
Available in Singapore Through SourceIT
SourceIT supplies the HP ZGX Fury AI Station G1n with a full GST invoice, HP's 3-year onsite warranty and enterprise procurement assistance. For desktop-scale AI, see the NVIDIA DGX Spark or HP ZGX Nano G1n; for alternative GB300 stations, see the MSI XpertStation WS300, ASUS ExpertCenter Pro ET900N G3 and GIGABYTE W775-V10-L01.
HP ZGX Fury AI Station G1n Datasheet — Technical Specifications
General
| Product Name | HP ZGX Fury AI Station G1n |
| Part Numbers (Singapore) | E6ZS0PT#AB4 (RTX PRO 2000 Blackwell, 4 × 2 TB); E6ZS5PT#AB4 (RTX PRO 4000 Blackwell SFF, 2 × 2 TB + 2 × 4 TB); no-discrete-GPU SED configuration to order |
| Category | Enterprise AI workstation / deskside AI supercomputer (NVIDIA DGX Station GB300 platform) |
| Form Factor | Liquid-cooled rackable tower |
| Warranty | HP 3-year (3/3/3) limited warranty — 3 years parts, labour and onsite repair |
| Local Warranty (Singapore) | 3 Years HP onsite; procurement and GST invoice by SourceIT |
Processor & GPU
| Compute Platform | NVIDIA DGX Station architecture — NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip |
| CPU | 1 × NVIDIA Grace CPU, 72 Arm Neoverse V2 cores |
| GPU | 1 × NVIDIA Blackwell Ultra GPU (fifth-generation Tensor Cores, second-generation Transformer Engine) |
| CPU–GPU Interconnect | NVIDIA NVLink-C2C, 900 GB/s (per NVIDIA DGX Station datasheet) |
| AI Performance | Up to 20 PFLOPS FP4 Tensor Core (with sparsity), per NVIDIA — 10 PFLOPS FP8/FP6, 5 PFLOPS FP16/BF16 |
| Model Support | AI models up to 1 trillion parameters, per NVIDIA |
| GPU Partitioning | Multi-Instance GPU (MIG) — up to 7 instances |
| Professional Display Graphics | E6ZS0PT: NVIDIA RTX PRO 2000 Blackwell (16 GB GDDR7); E6ZS5PT: NVIDIA RTX PRO 4000 Blackwell SFF (24 GB GDDR7); headless configuration: none |
Memory
| Total Coherent Memory | 748 GB unified CPU + GPU memory space |
| GPU Memory | 252 GB HBM3e, 7.1 TB/s |
| CPU Memory | 496 GB LPDDR5X, 396 GB/s |
| CPU Memory Modules | 4 × 128 GB SOCAMM LPDDR5X-6400 (onboard) |
Storage
| OS Storage | 2 × embedded M.2 PCIe Gen5 (from CPU), software RAID 1 through host OS |
| Data Storage | 2 × embedded M.2 PCIe Gen6 (from ConnectX-8), software RAID 0 through host OS |
| Installed Drives | E6ZS0PT: 4 × 2 TB HP Z Turbo Drive PCIe Gen5 M.2 NVMe (8 TB); E6ZS5PT: 2 × 2 TB + 2 × 4 TB (12 TB); headless configuration: 4 × 2 TB self-encrypting NVMe |
| Encryption | SED capable |
Expansion
| PCIe Slots | 3 — 1 × PCIe Gen5 x16; 2 × PCIe Gen5 x16 (x8 electrical) |
Networking
| High-Speed Networking | 2 × QSFP112, 400 Gb/s per port, NVIDIA ConnectX-8 SuperNIC (up to 800 Gb/s) |
| General Ethernet | 1 × RJ45 10 GbE |
| Management LAN | 1 × RJ45 1 GbE (BMC, system management only) |
I/O Ports
| Front I/O | 2 × USB Type-C 10Gbps, 2 × USB Type-A 5Gbps, 1 × universal audio jack |
| Rear I/O | 4 × USB Type-A 10Gbps, microphone, audio-in, line-out; 1 × micro USB (BMC); 1 × Mini DisplayPort 2.0 (BMC systems management only) |
Management & Firmware
| BIOS / BMC | NVIDIA-approved partner-developed BIOS and BMC firmware; secure remote management for continuous 24/7 operation |
Operating System & Software
| Operating System | Ubuntu 24.04 LTS with NVIDIA AI Developer Tools |
| HP Software | HP Z Runtime and HP Z Toolkit |
Power, Cooling & Physical
| Cooling | Liquid cooled (integrated in chassis) |
| Power Supply | HP enterprise high-efficiency power supply for the 1,600 W DGX Station platform (20 A circuit recommended per NVIDIA) |
| Dimensions (H × W × D) | 44.6 × 22.15 × 66.7 cm, standard tower orientation |
| Weight | Starting at 41 kg |
Compatibility & Software Support
NVIDIA AI Software Stack
Ships with Ubuntu Linux and the NVIDIA AI Developer Tools preinstalled — the same NVIDIA software foundation used across the DGX family. CUDA, cuDNN, TensorRT and TensorRT-LLM, NVIDIA NeMo, NVIDIA NIM microservices, Triton Inference Server, RAPIDS and NGC containers run natively on the Grace Blackwell Ultra platform, alongside PyTorch, TensorFlow, JAX, vLLM, Hugging Face Transformers, DeepSpeed and ONNX Runtime. Docker and Kubernetes deployment are supported for containerised MLOps pipelines. NVIDIA AI Enterprise is available as a separate subscription for supported production deployments.
Arm64 Architecture — Plan Your Software Accordingly
The Grace CPU is an Arm Neoverse V2 processor, so the operating system, drivers and container images are arm64 (aarch64) builds. Mainstream AI frameworks and NVIDIA NGC containers are published for arm64, but proprietary x86-only applications will not run natively — check any commercial software you rely on before ordering. NVIDIA has announced a separate DGX Station for Windows SKU (Windows plus Windows Subsystem for Linux) for a later release; the units SourceIT supplies today ship with Ubuntu.
Clustering and Networking Compatibility
The two NVIDIA ConnectX-8 SuperNIC QSFP112 ports run at 400 Gb/s each (up to 800 Gb/s aggregate) with RDMA over Converged Ethernet, GPUDirect RDMA and GPUDirect Storage support, so two or more systems can be linked for distributed training, or connected to an NVMe-over-fabric storage array. QSFP112 transceivers or direct-attach cables are ordered separately to match your switch fabric — SourceIT will quote compatible optics alongside the system. The 10GbE RJ45 port covers everyday site networking, and the dedicated management LAN keeps out-of-band BMC traffic isolated from production data.
HP Z Ecosystem
The ZGX Fury G1n ships with HP Z Runtime and HP Z Toolkit, HP's environment and workflow tooling for the Z AI station range, and can be rack-mounted with HP's rackable tower hardware when a deployment grows from deskside to a shared compute room. The optional NVIDIA RTX PRO 2000 / 4000 Blackwell display GPUs make it suitable for local visualisation, CAD and DCC alongside AI work; the headless SED configuration suits remote-accessed and regulated environments.
Package Contents & Ordering Information
What Ships With the System
- HP ZGX Fury AI Station G1n with NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip
- NVMe storage and display GPU as per the selected configuration (E6ZS0PT#AB4 or E6ZS5PT#AB4; headless SED build to order)
- Power cord and HP documentation
- HP 3-year (3/3/3) limited warranty with onsite repair
QSFP112 transceivers or DAC cables — for example the HP ZGX 0.4 m QSFP112 Ethernet DAC cable for linking two units — and rack-mount kits are quoted separately.
Which Configuration?
Choose E6ZS0PT for a balanced build with professional display graphics for local visualisation. Choose E6ZS5PT when you need more on-board dataset capacity (12 TB) and the stronger RTX PRO 4000 Blackwell visualisation GPU. Choose the headless SED configuration for rack-adjacent or remote-accessed deployments, or where self-encrypting drives are mandated by security or compliance policy.
NVIDIA DGX Station GB300 Systems at SourceIT Singapore
Three HP ZGX Fury G1n configurations are available from SourceIT Singapore, all with HP's 3-year onsite warranty and GST invoice; prices shown are Singapore list price.
- ASUS ExpertCenter Pro ET900N G3 — NVIDIA DGX Station GB300 platform, same 748 GB / 20 PFLOPS core compute
- MSI XpertStation WS300 — NVIDIA DGX Station GB300 platform, same 748 GB / 20 PFLOPS core compute
- GIGABYTE W775-V10-L01 — NVIDIA DGX Station GB300 platform, same 748 GB / 20 PFLOPS core compute
- NVIDIA DGX Spark — desktop-scale GB10 system (128 GB unified memory, 1 PFLOP FP4) for individual developers
Browse the full NVIDIA DGX Spark & DGX Station collection. For volume, project, research-grant or education pricing, GST invoicing and current lead times, email sales@sourceit.com.sg.
Datasheet & Downloads
Official HP documentation for the ZGX Fury AI Station G1n:
- HP ZGX Fury G1n E6ZS0PT — HP Singapore product page and specifications
- HP ZGX Fury G1n E6ZS5PT — HP Singapore product page and specifications
- HP ZGX Fury AI Station G1n QuickSpecs (PDF)
- HP ZGX Fury AI Station G1n datasheet (PDF)
- HP ZGX Fury AI Station — official product overview
- NVIDIA DGX Station (GB300) — official platform page (Singapore)
- NVIDIA DGX Station datasheet (PDF)
Frequently Asked Questions — HP ZGX Fury AI Station G1n
What is the HP ZGX Fury AI Station G1n?
HP's build of the NVIDIA DGX Station GB300 platform: a liquid-cooled rackable tower with the GB300 Grace Blackwell Ultra Superchip, 748 GB coherent memory and up to 20 PFLOPS FP4 for training, fine-tuning and serving AI models of up to 1 trillion parameters on premises, backed by HP's 3-year onsite warranty.
What is the difference between the ZGX Fury G1n configurations?
Only the display graphics card and the storage. E6ZS0PT#AB4 pairs an NVIDIA RTX PRO 2000 Blackwell with 4 × 2 TB NVMe; E6ZS5PT#AB4 steps up to an RTX PRO 4000 Blackwell SFF with 2 × 2 TB + 2 × 4 TB NVMe; the headless configuration has no discrete graphics card and 4 × 2 TB self-encrypting drives. The GB300 Superchip, 748 GB coherent memory, 72-core Grace CPU, ConnectX-8 networking and 3/3/3 warranty are identical across all three.
Why would I choose the headless SED configuration?
If the system is accessed remotely or sits in a shared compute room, a display GPU adds cost without value — and the self-encrypting drives give hardware-level encryption at rest, which is often a requirement for regulated, government and financial-sector workloads in Singapore.
How does the ZGX Fury G1n compare to the NVIDIA DGX Spark and HP ZGX Nano?
Different class entirely: the ZGX Fury delivers up to 20 PFLOPS FP4 and 748 GB coherent memory for models up to 1 trillion parameters, versus the GB10-based DGX Spark and ZGX Nano at 1 PFLOP and 128 GB (about 200 billion parameters). Choose the Nano or Spark for individual developers; the ZGX Fury for teams and production-scale AI.
HP ZGX Fury G1n vs MSI XpertStation WS300 — which should I choose?
Both are NVIDIA DGX Station GB300 systems with identical core compute. The ZGX Fury adds HP's published 3-year onsite warranty, a rackable liquid-cooled chassis, factory display-GPU options and up to 12 TB of NVMe; the WS300 ships with a 2 TB RAID 1 boot pair and open PCIe 6.0 slots. Talk to us about which fits your deployment and support expectations.
Can multiple team members share one system?
Yes — Multi-Instance GPU (MIG) partitions the Blackwell Ultra GPU into up to seven isolated instances for concurrent users and workloads.
Does it need a server room?
No rack is required — the ZGX Fury is liquid cooled inside its own tower chassis for continuous 24/7 operation, and it can be rack-mounted later if needed. Plan a dedicated 20 A power circuit as for any 1,600 W-class workstation.
What warranty does HP provide in Singapore?
HP's 3-year (3/3/3) limited warranty — 3 years of parts, labour and onsite repair — as stated on HP Singapore's product pages for E6ZS0PT and E6ZS5PT.
How do I purchase the HP ZGX Fury G1n in Singapore?
SourceIT is an authorised IT reseller in Singapore and supplies the ZGX Fury G1n with GST invoice, HP onsite warranty and enterprise procurement assistance — contact sales@sourceit.com.sg for configuration options, lead times and volume pricing.
