- Type: Data Processing Units (DPU)
- Networking: 2x 200GbE
- Form Factor: FHHL
- Interface: PCIe Gen5 x16
- Power Consumption: 150W
- Compatible Risers: RC 3(Slot 1)
A Data Processing Unit (DPU) is a specialized processor designed to handle data movement, networking, storage, and security tasks in servers and data centers. It functions as a programmable SmartNIC with its own Arm CPU cores, hardware accelerators, and high-speed networking capabilities. DPUs offload heavy infrastructure workloads from the main CPU, freeing it up for application-level work. They are commonly used in modern cloud and AI environments to improve efficiency and performance at scale. Popular examples include NVIDIA’s BlueField series of DPUs.
A DPU is different from a GPU because it is optimized for moving, securing, and processing data in transit (networking & storage), whereas a GPU is built for performing massive parallel mathematical computations such as AI training and graphics rendering.
Key Differences Between DPU and GPU
- Purpose: DPU handles data movement, networking, encryption, and storage offloading;
- Workload: DPU excels at infrastructure tasks (packets, security, telemetry);
- Location & Role: DPU sits on the data path as a SmartNIC;
- Efficiency Goal: DPU improves overall server efficiency by freeing CPU cycles;
- Purpose: GPU focuses on heavy parallel math and compute workloads.
- Workload: GPU excels at AI/ML training, simulations, and rendering.
- Location & Role: GPU acts as a compute accelerator.
- Efficiency Goal: GPU increases raw computational power.