# HP ZGX NANO G1n AI Mini GB10 with Nvidia Blackwell, 128GB RAM, 2TB SSD, DGX WLAN

**URL:** https://aio.lv/en/product--hp-d4db3etabd--12364382
**Data updated:** 2026-04-26 18:53 (EEST)
**Category:** Desktop PCs & Workstations
**Manufacturer:** HP
**Manufacturer code:** D4DB3ET#ABD
**EAN:** 0199896739931
**Warranty:** 2 Years
**Availability:** Available for order
**Price:** 5 686.99 €
**Prices and availability valid until:** 2026-07-11 23:59
**Price without VAT (21%):** 4 699.99 EUR
**Can be purchased by legal entities:** Yes (invoice)
**Buy:** https://aio.lv/en/product--hp-d4db3etabd--12364382

## Delivery options

| Delivery method | Delivery time | Cost |
|---|---|---|
| Office pickup (2b. Kengaraga str., Riga, Latvia, LV-1063) | 13.07.2026 | free |
| Pickup points | 16.07.2026 | 1.99 EUR |
| Courier delivery to door | 16.07.2026 | 4.99 EUR |

## Summary description

Compact AI workstation: HP ZGX NANO G1n AI Mini GB10 equipped with Nvidia Blackwell accelerator, 128GB memory and 2TB SSD storage. Built for AI development, inference and high-performance computing tasks, it includes DGX-class WLAN connectivity for networked deployments. Suitable for data scientists, edge AI, labs and professional workflows requiring dense compute in a small form factor.

## Long description

The HP ZGX NANO G1n AI Mini GB10 is a compact AI workstation designed to deliver dense compute performance in a small form factor. Equipped with an Nvidia Blackwell accelerator, 128 GB of RAM and a 2 TB SSD, this system targets AI development, inference workloads and high-performance computing tasks. It ships with DGX-class WLAN connectivity for robust networked deployments and is supplied with Ubuntu 24.04 in configurations intended for professional data science, edge AI, and laboratory environments.
Advantages
The combination of an Nvidia Blackwell accelerator and 128 GB of RAM enables accelerated model training, lower-latency inference and improved multitasking for large datasets and complex neural networks. The 2 TB SSD provides fast local storage and reduced data-transfer delays. Its compact chassis supports dense deployment in constrained spaces while DGX-class WLAN ensures stable wireless connectivity for distributed workflows and remote management.
Suitable for
Development and training of machine learning models and deep learning prototypes
Inference and real-time AI at the edge or in lab environments
Data scientists and researchers working with large datasets and GPU-accelerated workloads
Professional workflows that require a small workstation with high compute density
When it may not be suitable
Because the unit is focused on GPU-accelerated compute in a compact form factor, it may not be the best choice when large-scale server-class expansion, extensive internal storage bays or multiple internal GPUs are required. Users who need many hot-swappable drives, large numbers of PCIe cards, or chassis-level redundancy should consider rack-mounted or tower-class systems instead.
Key specifications
Processor class: workstation-grade CPU options for AI workflows
Accelerator: Nvidia Blackwell-class GPU for model training and inference
Memory: 128 GB RAM suitable for large models and multitasking
Storage: 2 TB solid state drive for fast local data access
Networking: DGX-class WLAN for reliable wireless connectivity; standard wired networking options available
Operating system: configured with Ubuntu 24.04 in certain builds for compatibility with common AI frameworks
Form factor: compact mini workstation designed for dense deployment and limited workspace
How to use
Install required AI frameworks and drivers for the Nvidia Blackwell accelerator; follow vendor-provided instructions for CUDA, cuDNN and GPU driver installation compatible with Ubuntu 24.04. Copy datasets to the internal 2 TB SSD or mount network storage for larger datasets. Use standard development tools, container platforms or orchestration systems to manage experiments and inference services. For remote access and monitoring, configure the DGX-class WLAN or wired network according to site security policies.
What to consider before purchase
Confirm compatibility of required AI frameworks and drivers with the installed operating system version
Plan for cooling and power requirements in dense deployments to maintain sustained GPU performance
Assess whether 2 TB local storage is sufficient or if external/network storage will be needed for datasets
Verify physical space and mounting options for a compact mini workstation in your environment
Usage recommendations
For reliable performance, keep GPU drivers and AI libraries up to date, allocate sufficient RAM for dataset preprocessing, and use the internal SSD for active projects while archiving older datasets to network storage. In multi-unit deployments, centralize management and monitoring to ensure consistent configurations and efficient resource utilization.

## FAQ

### How much does the HP ZGX NANO G1n AI Mini GB10 Nvidia Blackwell cost, and is it available for purchase?

The price is 5,686.99 € (valid at the time of publication and already includes all taxes). The item is available for order — 40 pcs. are in stock, and you can place your purchase right now with delivery across Latvia and Europe or choose pickup at the Riga collection point. We offer favorable purchase terms, including the option to split the payment into convenient monthly installments. Availability and price are updated in real time, so we recommend placing your order in advance.

### If I order this product today, when will I receive my order?

If you place your order today, delivery will be as fast and convenient as possible. You will be able to pick up your order on 13.07.2026 at the Riga pickup point or choose delivery across Latvia and Europe. We carefully inspect every purchase and pack it securely for safe transportation.

### What payment options are available?

AiO.lv offers several payment methods: Cash payment, Bank transfer, Bank cards on-line, Apple Pay, Google Pay, Leasing for legal entities. All transactions are 100% secure and encrypted.

### Can this product be purchased for a company (with VAT)?

Yes. AiO.lv works with legal entities in Latvia and across Europe. The product price already includes VAT. For certain product categories, as well as for companies from other EU countries with a valid VAT number, a 0% VAT rate may apply. We issue the invoice immediately after the order is placed, support electronic BIS invoices, and automatically generate all necessary accounting documents. You can complete the purchase for a company online — simply select the company profile and choose bank transfer as the payment method during checkout.

### What is the warranty period?

All HP products come with an official 2 Years warranty. It covers all manufacturing defects and malfunctions that may occur during use. The warranty is valid at all authorized HP service centers and through AiO.lv

### Can the product be returned after purchase?

Yes, you can return the product within 14 days of purchase if you bought it as a consumer (not a legal entity). Returns are possible without giving any reason — the main condition is that the product retains its original appearance and full set of accessories. We will make the process as simple and convenient as possible: just contact our customer support team, and we will help you arrange the return.

### Where should I contact for warranty service?

For warranty-related questions you can contact the AiO.lv (SIA VSPRO) customer support team. More information about warranty service: https://aio.lv/en/warranty

## Image

https://aio.lv/img/cache/product/12364382/68665571_large.webp