Lenovo
CUSTOM ThinkStation P3 Tiny G2 U7265 32GB 512GB 20260912
Out of Stock
Lenovo ThinkStation P3 Tiny G2 U7265 32GB 512GB | Tiny Workstation
Lenovo
MPN: 30K6S1AY00
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Key Features
- Lenovo ThinkStation P3 Tiny G2 platform
- U7265 processor
- 32 GB system memory
- 512 GB solid-state storage
- Tiny desktop workstation form factor
- Built for compact high-density deployments
- Accelerate multitasking with a U7265 processor
- Handle larger working sets using 32 GB of installed memory
Give demanding users more room to work without giving up desk space. Lenovo’s ThinkStation P3 Tiny G2 in this configuration pairs a U7265 processor with 32 GB of memory and 512 GB of SSD storage, creating a compact workstation that is better aligned to heavier multitasking, larger local datasets, and more active professional workflows.
The tiny chassis is ideal for organizations that need a capable system in a small footprint. It fits cleanly behind displays, inside secure enclosures, and across high-density office layouts where tower systems are too large. For IT teams, that means easier standardization across departments that need a consistent workstation platform without the physical overhead of a full-size desktop.
Compared with the lower-memory configuration, this model offers more breathing room for users who keep multiple applications open or work with larger files throughout the day. It is a practical step up for technical staff, analysts, and power users who need compact deployment, but not compact capability. The result is a workstation that earns its place by doing more in less space.
Ideal For
- Technical workstations for analysts and power users
- Compact deployments in secure offices and controlled-access rooms
- Multi-application productivity environments with limited desk space
- Standardized workstation refreshes for teams needing more memory headroom
Why This Product
- 1More memory than the 16 GB configuration
- 2More local storage than the 256 GB configuration
- 3Still fits where tower workstations cannot
- 4Better suited to heavier multitasking workloads