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PC CAPTIVA Workstation I83-402 Intel Core i5 16 GB 500 GB SSD
The CAPTIVA Workstation I83-402 is a mid-range desktop workstation equipped with an Intel Core i5 processor running at 2.5 GHz, 16 GB of DDR5-SDRAM and a 500 GB solid-state drive. Designed for everyday professional workflows, it provides responsive system performance, quick application loading and reduced wait times for file access. Integrated Wi‑Fi and a built‑in card reader expand connectivity and media handling without additional accessories. The compact tower format and a total weight of 11.3 kg make it suitable for office or studio placement where stable, continuous operation is required.
The combination of an Intel Core i5 processor and 16 GB DDR5-SDRAM delivers a balance of multi-tasking capability and energy efficiency for common productivity and creative tasks. The 500 GB SSD offers faster boot and file transfer speeds compared with traditional hard drives, improving overall responsiveness. Integrated Wi‑Fi and the card reader simplify network access and media transfers. A 450 W power supply provides stable power for sustained workloads while keeping the system footprint reasonable for desktop installations.
Place the workstation on a stable, level surface with adequate ventilation around the chassis. Connect a monitor, keyboard and mouse and attach the network connection either via the integrated Wi‑Fi or a wired LAN if available. Power the unit from a grounded outlet suited to the stated power requirements. After initial startup, follow the on-screen prompts to complete any operating system or driver setup. Use the built-in card reader to transfer photos or media from cameras and removable cards directly to the SSD for fast access.
For sustained performance, keep the system software and drivers up to date and allow adequate airflow around the workstation. Regularly back up important data from the 500 GB SSD to external storage to prevent data loss. For heavier graphics workloads or large video projects, consider adding an appropriate discrete GPU or expanding memory if supported by the platform.
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