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Desktop PC HP EliteDesk 800 G6 SFF – Intel Core i7-10700 2.9/4.8 GHz, 16 GB DDR4 2666 MHz, 512 GB SSD, Windows 11 Pro, Black
The HP EliteDesk 800 G6 Small Form Factor is a compact business desktop designed to deliver high performance in a space-saving chassis. Powered by an Intel Core i7-10700 (base 2.9 GHz, turbo up to 4.8 GHz), it includes 16 GB DDR4-2666 memory, a 512 GB SSD and integrated Intel UHD Graphics 630. Windows 11 Pro is preinstalled, giving a 64-bit operating environment suitable for office workflows, multitasking and business applications. The small-form-factor design and 6.13 kg weight make it convenient for workplaces with limited space.
The system combines a high-performance 8-core processor and fast solid-state storage for responsive application loading and efficient multitasking. DDR4 memory at 2666 MHz supports business workloads, while the compact SFF chassis offers expandability and a small footprint. Integrated networking and Windows 11 Pro provide a ready-to-use platform for corporate environments.
This SFF configuration uses integrated Intel UHD Graphics 630 and no discrete GPU, so it is not intended for demanding 3D rendering, high-end gaming, or GPU-accelerated professional workloads. Users who need large local storage arrays, extensive PCIe expansion or workstation-class graphics should consider a larger tower or specialised workstation.
Place the EliteDesk on a stable surface with adequate ventilation around the chassis. Connect monitor, keyboard, mouse and network per your workplace setup. Use Windows 11 Pro user accounts and corporate policies as required. For software installation and updates, follow your organisation’s IT procedures. If additional peripherals or storage are needed, check available internal slots and external ports before purchase.
For typical office and business tasks, keep the system updated with Windows and driver updates, use an external backup solution for important data, and verify expansion or peripheral needs (for example, additional storage or a discrete GPU) before deployment.
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