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Hp z2 tower g1i a40mdet#abd tower workstation Intel Core ultra 9 285k 32GB ddr5 1TB SSD RTX 2000 ada windows 11 pro black
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Hp z2 tower g1i a40mdet#abd tower workstation Intel Core ultra 9 285k 32GB ddr5 1TB SSD RTX 2000 ada windows 11 pro black
€ 5,339.68
ή
Πλήρωσε σε 3, 6 ή 9 άτοκες δόσεις με 0 χρεώσεις υπηρεσίας χρησιμοποιώντας το
Επιλογή Χρώμα: Black
Σε απόθεμα
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Δωρεάν αποστολή για παραγγελίες άνω των € 85.00 από το Singular Computers Systems LTD
Εκτ. παράδοση: 03 Αυγ - 05 Αυγ
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230589a5-fec1-49c3-96bd-fc79ab3f48d3
HP Z2 Tower G1i Tower Workstation
Core Ultra 9 285KNVIDIA RTX 2000 Ada Generation 16GB GDDR632GB DDR5Windows 11 Pro
The HP Z2 Tower G1i is a full-size professional workstation built for demanding design and engineering work with room to grow. This configuration combines the 24-core Intel Core Ultra 9 285K with 32GB of DDR5 memory, a 1TB PCIe NVMe SSD and a 16GB NVIDIA RTX 2000 Ada professional GPU, delivering strong CPU and GPU performance in a serviceable, expandable chassis. This configu
Χαρακτηριστικά
Λεπτομέρειες
HP Z2 Tower G1i Tower Workstation
Core Ultra 9 285KNVIDIA RTX 2000 Ada Generation 16GB GDDR632GB DDR5Windows 11 Pro
The HP Z2 Tower G1i is a full-size professional workstation built for demanding design and engineering work with room to grow. This configuration combines the 24-coreIntel Core Ultra 9 285K with 32GB of DDR5 memory, a 1TB PCIe NVMe SSD and a 16GB NVIDIA RTX 2000 Ada professional GPU, delivering strong CPU and GPU performance in a serviceable, expandable chassis. This configuration is supplied under part number A40MDET#ABD. Typically in stock with fast delivery across Cyprus.
Best For
✓CAD, 3D modelling and design
✓Rendering and real-time visualization
✓Content creation and editing
✓Simulation and engineering analysis
✓AI-assisted creative workflows
✓Multi-app, multi-display professional work
Key Features
NVIDIA RTX 2000 Ada 16GB
2,816 CUDA cores and 16GB GDDR6 with ISV-certified drivers accelerate 3D, rendering and GPU-assisted professional applications.
24-Core Core Ultra 9 285K
Eight performance and sixteen efficient cores (24 threads) up to 5.7 GHz handle heavy multitasking, modelling and compute with ease.
Expandable Tower
PCIe slots, drive bays and tool-less serviceability allow future graphics, storage and memory upgrades.
Fast 32GB / 1TB Setup
32GB DDR5 memory and a 1TB NVMe SSD keep projects and applications responsive, with headroom to add more.
Technical Specifications
| Identification | |
| Part Number | A40MDET#ABD |
| EAN / GTIN | 0199251457715 |
| MPN | A40MDET#ABD |
| Processor | |
| CPU | Intel Core Ultra 9 285K |
| Cores / Threads | 8 P-cores + 16 E-cores / 24 threads |
| Max Turbo | Up to 5.7 GHz |
| Cache | 36 MB L3 |
| Graphics | |
| GPU | NVIDIA RTX 2000 Ada Generation 16GB GDDR6 |
| Graphics Notes | 2,816 CUDA cores, 22 RT & 88 Tensor cores; ISV-certified |
| Memory & Storage | |
| Memory | 32GB DDR5 |
| Storage | 1TB PCIe NVMe TLC SSD |
| Connectivity & Form Factor | |
| Networking | Gigabit Ethernet |
| Form Factor | Full-size tower (4U rack-mountable) |
| Ports | Multiple USB-A and USB-C, 4× DisplayPort via RTX 2000 Ada, GbE LAN; internal PCIe and drive expansion |
| General | |
| Operating System | Windows 11 Pro |
| Colour | Black |
| Warranty | 3-year (3-3-3) HP limited warranty, standard for HP Z workstations |
Frequently Asked Questions
Singular Expert Insight
This Z2 Tower G1i is a capable all-rounder — the Core Ultra 9 285K with a 16GB RTX 2000 Ada covers serious CAD, 3D and design work, while the tower adds expansion the Mini and SFF models lack. For larger GPU-rendered scenes, a Z2 Tower or Z4 G5 with RTX 4000/4500 Ada gives more headroom. Pair it with a colour-accurate professional monitor for the best design results.
Buyer’s Guide
Buy it if
You want high CPU power, 32GB RAM and a 16GB RTX 2000 Ada in an expandable tower, for CAD, 3D and design.
Skip it if
You render very large 3D scenes or run GPU-heavy simulation — a tower with RTX 4000/4500 Ada or the Z4 G5 with Xeon W suits better.
Also consider
Step up to the A40MHET (RTX 4000 Ada) or Z4 G5 for heavier GPU work, or add 64GB RAM for larger datasets.