DELL OptiPlex 3020 Micro desktop PC i5-4590T 8GB 256GB SSD Windows 10 Pro
- Business Desktops &…
- SoDIMM 204-pin
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Lenovo
Ultra-compact workstation runs demanding business applications with a Core Ultra 7 265 processor, 32 GB DDR5 memory, 1 TB SSD and an RTX A1000 8 GB graphics card
The Lenovo ThinkStation P3 Ultra SFF G2 fits an Intel Core Ultra 7 265 processor, 32 GB of DDR5 memory at 6400 MHz and an NVIDIA RTX A1000 8 GB graphics card into an ultra-small chassis. Windows 11 Pro and Wi-Fi 7 are included for immediate deployment.
This configuration serves CAD, BIM and data-science users who require ISV-certified stability in a minimal footprint. Buyers who need multiple full-height add-in cards, larger GPU memory or rack-mount density should evaluate other form factors.
The 1 TB M.2 2280 PCIe Gen5 drive and 32 GB of DDR5 handle large models, datasets and concurrent applications comfortably. Projects that exceed 32 GB system memory or require multi-GPU scaling will reach the limits of this platform.
| Brand | Lenovo |
|---|---|
| Model | 30J5005DUS |
| Part Number | 30J5005DUS |
| Type | Student / Home Office |
| Form Factor | Ultra Small Form Factor (SFF) |
| Usage | Business |
| Monitor | Monitor not included |
| Operating System | Windows 11 Pro |
| Windows 11 | Yes |
| Cosmetic Condition | New |
| CPU Type | Intel Core Ultra 7 |
| CPU Name | Core Ultra 7 265 |
| GPU/VGA Type | NVIDIA RTX A1000 8GB |
| Memory Capacity | 32GB DDR5 6400MHz |
| SSD | 1TB SSD |
| HDD | None |
| Optical Drive Type | None |
| Screen Size | No Screen |
| WLAN | Intel Wi-Fi 7 BE200 |
| Shipping weight | 6.10 kg |
| Package size | 498 × 295 × 216 mm |
The system uses 32 GB of DDR5 6400 MHz memory. Any added modules must be DDR5 at that speed for compatibility.
The 330 W PSU powers the Core Ultra 7 265 and RTX A1000 8 GB together. USB peripherals draw little power, so headroom remains for typical legacy devices.
Open Device Manager and confirm the RTX A1000 8 GB appears without errors. Run the NVIDIA control panel to validate driver version and GPU utilisation under load.
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