MBF2M345A-HESOT, NVIDIA Mellanox BlueField-2 DPU, 200GbE QSFP56/PCIe Gen4 x16/16GB DDR

The Mellanox MBF2M345A-HESOT is a high-performance NVIDIA BlueField-2 E-Series DPU (Data Processing Unit) for modern data center and cloud infrastructure. It is designed to offload networking, security, and storage tasks from host CPUs, helping enterprise, cloud, and service provider environments improve throughput and lower latency. With a PCI Express 4.0 x16 host interface, the MBF2M345A-HESOT delivers ample bandwidth between the server and the DPU, making it well suited for virtualized workloads and container-based platforms across Asia, Europe, Africa, and North America. The card uses an HHHL (Half-Height, Half-Length) form factor with a tall full-height bracket, so it integrates easily into standard PCIe server slots used by distributors, system integrators, and end users. A single QSFP56 network interface supports 200GbE / HDR (200Gb/s) connectivity, enabling very fast east-west and north-south traffic for cloud-scale networks and high-performance applications. For management, the MBF2M345A-HESOT offers a dedicated 1GbE out-of-band management port, which helps operators separate control and data planes and simplifies remote deployment and monitoring. The DPU includes 16GB on-board DDR memory to support local processing, networking acceleration, and virtualization of network functions without depending only on host RAM. Security is strengthened with Secure Boot enabled, ensuring only trusted firmware is loaded, while crypto functionality is disabled in this specific part number for environments that require controlled or external cryptographic handling. The QSFP56 connector type provides flexibility for 200GbE/HDR optics or DAC cables, giving resellers and integrators an easy path to build scalable spine-leaf fabrics or upgrade existing clusters. Overall, the Mellanox MBF2M345A-HESOT combines high-speed 200GbE connectivity, strong management options, and DPU offload capabilities, helping organizations optimize their server resources and prepare for intensive workloads such as virtualization, microservices, and storage acceleration.