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| Product Overview |
|---|
The KK7JD Dell NVIDIA BlueField-2 DPU features an 8-core ARM processor, 32GB DDR4 memory, dual 25Gbps SFP56 ports, and PCIe 4.0 x8 interface, providing a versatile platform for network acceleration and data processing within demanding environments. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | KK7JD |
| Technical Information | |
|---|---|
| Product Type | DPU Card |
| Chipset/Controller | NVIDIA BlueField-2 |
| Data Rate (Speed) | 25GbE |
| Interface (Bus) | PCIe 4.0 x8 |
| Number of Ports | 2-Port (Dual) |
| Connectivity & Physical | |
|---|---|
| Form Factor | Full Height Half Length |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | No |
| Product Description |
|---|
The KK7JD Dell NVIDIA BlueField-2 DPU is a powerful data processing unit designed to accelerate networking, storage, and security operations within data centers and enterprise environments. It integrates an 8-core ARM processor running at 500MHz with 32GB of DDR4 memory, delivering efficient and scalable performance for demanding workloads. This accelerator card is commonly found in high-performance computing clusters, cloud infrastructure setups, and networking appliances where advanced data handling and offloading capabilities are crucial. IT professionals and system architects benefit from its ability to optimize data flow and reduce CPU overhead. Key Features
The KK7JD Dell NVIDIA BlueField-2 DPU delivers enhanced performance and scalability for modern data center workloads, ensuring efficient data processing and network management. Its robust features support a wide range of applications requiring accelerated data handling and security functions. |
| Use Cases |
|---|
The KK7JD Dell NVIDIA BlueField-2 DPU is designed to enhance infrastructure efficiency by offloading critical networking and security workloads from the host CPU. How It's Used:
This Dell NVIDIA BlueField-2 DPU is integral to modern IT infrastructures seeking to maximize performance, reduce latency, and improve overall system resource utilization. |