| Management number | 241234059 | Release Date | 2026/07/17 | List Price | US$831.30 | Model Number | 241234059 | ||
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The Dell KC7TG is a Precision 3660 Tower Workstation designed to handle demanding professional workloads such as simulation, data analysis, and advanced content creation. Powered by a 12-core Intel Core i7-12700 processor with speeds up to 4.9 GHz and equipped with 32 GB of DDR5-4400 memory, it delivers the performance needed for complex tasks while maintaining smooth multitasking. The 512 GB NVMe PCIe SSD ensures fast system responsiveness and quick access to files, making it a solid choice for creative and technical professionals.
This workstation offers a versatile range of connectivity options to support a variety of peripherals and network environments. The four DisplayPort outputs allow connection to multiple high-resolution monitors, ideal for detailed design and editing work. The front USB-C port provides fast data transfer speeds, which is especially useful when working with large files or external drives. Gigabit Ethernet ensures stable and reliable network access for collaborative projects and data transfers.
The combination of a 12-core Intel Core i7 processor and NVIDIA RTX A2000 graphics card ensures this workstation can handle resource-intensive applications with ease. The 32 GB of fast DDR5 memory supports smooth multitasking and complex workflows, while the 512 GB NVMe SSD reduces load times and accelerates file access. The 500 W 80 PLUS Platinum power supply delivers efficient and stable power, contributing to the system’s overall reliability during extended use.
This Dell Precision 3660 Tower is well suited to professionals in architecture, product design, video editing, and engineering who require a dependable system for demanding software. It fits well in studio environments and corporate IT setups where stability, security, and expandability are priorities. The workstation’s multi-monitor support and fast data transfer capabilities make it a strong choice for users managing complex projects and large datasets.
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