HPE BD-ACD-10AX1152H Intel Arria 10 GX FPGA Accelerator Expansion Module

The HPE BD-ACD-10AX1152H is a powerful FPGA Accelerator Expansion Module, meticulously designed to significantly boost compute-intensive workloads within modern data centers. This high-performance module integrates an Intel Arria 10 GX Field-Programmable Gate Array (FPGA), providing a highly reconfigurable hardware platform that excels at accelerating a diverse range of applications. It addresses the growing need for specialized processing power in demanding environments, offloading tasks from general-purpose CPUs to enhance overall system efficiency and throughput. This acceleration card connects to host servers via a PCIe 3.0 x8 interface, ensuring high-bandwidth communication vital for rapid data transfer between the FPGA and the system. Equipped with 8 GB of DDR4 Error-Correcting Code (ECC) memory and an additional 53 MB of on-chip memory, it provides ample capacity for complex algorithms and real-time data processing. The Intel Arria 10 GX FPGA features approximately 1.15 million logic elements, offering extensive customization for optimizing specific computational tasks such as data analytics, artificial intelligence, and sophisticated image processing. Ideally suited for deployment in high-performance computing (HPC) environments, the module's single-slot, half-height, half-length form factor allows for flexible integration into various server architectures, including supported HPE ProLiant Gen10 platforms. Its integrated QSFP+ port supports 4x 10 GbE or 40 GbE, facilitating high-speed network connectivity crucial for low-latency, data-intensive use cases. The HPE BD-ACD-10AX1152H is a critical component for organizations looking to achieve sustained teraflop-level acceleration and optimize their infrastructure for the most challenging computational demands.

• High-performance Intel Arria 10 GX FPGA
• 8 GB DDR4 ECC memory for intensive tasks
• PCIe 3.0 x8 interface for rapid host data
• QSFP+ 40GbE connectivity for high throughput
• Optimized for HPC, AI, and data analytics