Leading the new trend of compactness! Dell launches Precision 3280 CFF workstation with Tensor Core support

Dell recently released a new workstation called Precision 3280 Compact Form Factor (CFF). This device is called "the world's smallest workstation supporting Tensor Core GPU" by Dell. Its top version supports NVIDIA RTX 4000 Ada graphics card and has strong performance.

The Precision 3280 CFF is a compact workstation measuring 206 x 178 x 79 mm and weighing only 2.54 kg, making it easy to carry and deploy. Despite its small size, it packs a punch in performance. This workstation can be equipped with up to 80W 14th generation Intel Core processors to provide users with excellent computing power.

According to the editor’s understanding, the uniqueness of Precision 3280 CFF lies in its scalability and flexibility. It supports dual-channel DDR5-5600 up to 64GB ECC memory, and dual M.2 2280 slots to support up to two PCIe Gen 4 NVMe SSDs. In addition, the workstation is equipped with two PCIe The x8 slot supports a variety of GPU options, including Intel UHD graphics, NVIDIA T400, T1000, RTX 2000 and RTX 4000, etc.

Dell provides Qualcomm or Intel wireless network card options for the Precision 3280 CFF, supporting the latest WiFi 6E and Bluetooth 5.3 standards to ensure that users can obtain stable and high-speed network connections in various environments.

In addition, the Precision 3280 CFF has a very rich port configuration, including one USB 3.2 Gen 2×2 port, five USB 3.2 Gen 2 Type-A port, two USB 3.2 Gen 1 Type-A ports, one RJ45 Ethernet port, and three DisplayPorts 1.4a port. Users can also choose additional HDMI 2.1, DisplayPort 1.4a, VGA or USB Type-C ports as needed to meet various connectivity needs.

Precision 3280 CFF also supports rack mounting. Users can choose the accessory "Hypershelf for Precision 3280" to install up to 7 computers on the server rack, which can save space and improve management efficiency. This feature makes Precision 3280 CFF not only suitable for individual users, but also very suitable for scenarios requiring large-scale deployment such as enterprises and data centers.

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