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HPE P08257-B21 1 InfiniBand 2-Ports QSFP56 PCIe 3.0 x16
- Dual QSFP56 ports for InfiniBand connectivity.
- Supports InfiniBand speeds up to 200Gb/s per port (400Gb/s aggregate).
- PCI-Express 3.0 x16 interface.
- Designed for high-performance computing (HPC) and AI workloads.
- Low latency and high throughput.
- Compatible with HPE Apollo and ProLiant systems.
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Key specifications
See full specs ↓- Part Number
- P08257-B21
- Product Type
- InfiniBand Adapter
- Ports
- 2 x QSFP56
- Technology
- InfiniBand
- Interface
- PCI-Express 3.0 x16
- Brand
- HPE
Product details
The HPE P08257-B21 is a dual-port QSFP56 InfiniBand adapter designed for high-performance computing and low-latency networking environments. It utilizes the PCIe 3.0 x16 interface for maximum bandwidth.
Technical Information
| Part Number | P08257-B21 |
| Product Type | InfiniBand Adapter |
| Ports | 2 x QSFP56 |
Additional Specifications
| Technology | InfiniBand |
| Interface | PCI-Express 3.0 x16 |
| Brand | HPE |
Description
The HPE P08257-B21 is a cutting-edge InfiniBand adapter engineered to provide extremely high-speed, low-latency interconnectivity for the most demanding computational tasks. Featuring dual QSFP56 ports, this adapter supports InfiniBand speeds that can reach up to 200Gb/s per port, offering a total aggregate bandwidth of 400Gb/s. This makes it an ideal solution for high-performance computing (HPC) clusters, artificial intelligence (AI) training, and other data-intensive applications where rapid data exchange is critical. The adapter utilizes the PCI-Express 3.0 x16 interface, ensuring a high-bandwidth connection to the host server and minimizing potential bottlenecks. The InfiniBand technology itself is designed for minimal latency and high message rates, which are essential for tightly coupled parallel processing and distributed computing environments. This adapter is optimized to work seamlessly with HPE's HPC and AI server platforms, such as Apollo and select ProLiant systems. With its advanced capabilities, the HPE P08257-B21 enables faster processing of large datasets, accelerates complex simulations, and improves the efficiency of distributed machine learning models. It is a key component for organizations pushing the boundaries of scientific research, financial modeling, and complex data analysis, providing the necessary network infrastructure to support massive computational workloads.
Condition: Refurbished
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