HP
HP Z2 G4 Mid-Tower Workstation Intel Core i7-9700 16GB DDR4 500GB NVMe Quadro P2000 Windows 11 Pro
Mid-tower workstation with 8-core i7-9700, 16GB DDR4, 500GB NVMe and Quadro P2000 5GB for professional 3D and compute workloads
- TypeBusiness Desktops & Workstations
- Form FactorMid Tower
- UsageBusiness
- ColorBlack
- MonitorMonitor not included
- Operating SystemWindows 11 Pro
- 8-core Intel Core i7-9700 reaches 4.7 GHz turbo for fast compute
- 16 GB DDR4 2666 MHz memory handles multi-app workloads smoothly
- 500 GB NVMe SSD boots Windows 11 Pro and loads projects quickly
- NVIDIA Quadro P2000 5 GB GDDR5 drives four DisplayPort 1.4 monitors
- 500 W 90 % efficient power supply supports sustained professional workloads
Professional Workstation Mid Tower
The HP Z2 G4 is a mid-tower workstation built around an Intel Core i7-9700 processor with eight cores running at 3.0 GHz and a 4.7 GHz turbo frequency. It ships with 16 GB of DDR4 2666 memory in a dual-channel configuration and a 500 GB NVMe SSD for fast boot and application loading. An NVIDIA Quadro P2000 graphics card with 5 GB GDDR5 memory provides four DisplayPort 1.4 outputs for multi-monitor setups. Windows 11 Pro 64-bit is pre-installed and digitally activated.
Suited for CAD and Multi-Display Work
This system targets professionals running 2D and 3D CAD, BIM or visualization workloads that benefit from certified Quadro drivers and four native DisplayPort connections. The 128 GB maximum memory ceiling supports larger assemblies and datasets. Buyers who need more than 500 GB of high-speed storage or who require double-precision compute performance should look at other configurations. The integrated 10/100/1000 Ethernet and 5.1 audio cover standard office connectivity without extra cards.
Quadro P2000 5 GB GDDR5 160-bit
The Quadro P2000 is the specification that determines fit for professional graphics pipelines. Its 5 GB frame buffer and 160-bit memory interface set the ceiling for model complexity and texture resolution in certified applications. Four DisplayPort 1.4 ports drive up to four 4K displays simultaneously without adapters. If your software demands a larger frame buffer or higher memory bandwidth, this GPU will be the limiting factor.
商品特色
- 8-core Intel Core i7-9700 reaches 4.7 GHz turbo for fast compute
- 16 GB DDR4 2666 MHz memory handles multi-app workloads smoothly
- 500 GB NVMe SSD boots Windows 11 Pro and loads projects quickly
- NVIDIA Quadro P2000 5 GB GDDR5 drives four DisplayPort 1.4 monitors
- 500 W 90 % efficient power supply supports sustained professional workloads
商品規格
| Series | Z2 |
|---|---|
| Model | G4 |
| Type | Business Desktops & Workstations |
| Form Factor | Mid Tower |
| Usage | Business |
| Color | Black |
| Monitor | Monitor not included |
| Operating System | Windows 11 Pro |
| CPU Type | Intel Core i7 |
| CPU Name | Intel Core i7-9700 |
| CPU Socket Type | LGA 1151 |
| GPU/VGA Type | NVIDIA Quadro P2000 |
| Memory Capacity | 16GB DDR4 |
| Memory Speed | DDR4 2666 |
| Maximum Memory Supported | 128 GB |
| SSD | 500 GB pcie |
| HDD | No |
| Screen Size | No Screen |
| Case Features | NVMe SSD |
商品問答
How do I install the graphics card into the HP Z2 G4 Mid-Tower Workstation, and which step is most often missed?
Remove the side panel, insert the Nvidia Quadro P2000 into the PCIe x16 slot, and connect the display cables to its four DisplayPort 1.4 outputs. The step most often missed is removing the protective bracket cover from the rear of the case before seating the card.
What maintenance or replacement will the HP Z2 G4 Mid-Tower Workstation need over time?
The 16GB DDR4 2666MHz memory can be expanded up to 128GB using the four DIMM slots, and the 500GB NVMe SSD can be swapped for a larger drive. The 500W power supply and system fans should be cleaned of dust periodically to maintain airflow.
What limit appears first on the HP Z2 G4 Mid-Tower Workstation during a long rendering session?
The Nvidia Quadro P2000 5GB GDDR5 frame buffer will fill before the 16GB system memory or the 500GB NVMe SSD become bottlenecks, capping scene complexity in GPU-accelerated workloads.
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