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Product Overview |
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The HPE Xilinx Alveo U50 Data Center Accelerator Card is designed to augment server capabilities by accelerating compute-intensive workloads. It features Xilinx Alveo U50 FPGA technology and fits into standard data center servers, supporting applications such as data analytics, machine learning, and network functions. |
General Information |
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| Brand | HPE |
Technical Information |
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| Chipset | AMD |
| Interface / PCIe Slot | PCIe 4.0 x8 |
| Supported Frameworks | OpenCL |
| Cooling Type | Passive |
| Power Connector | None (slot-powered) |
Miscellaneous |
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| Assembly Required | No |
| Compliance Standards | WEEE, RoHS, CE, FCC |
Physical Characteristics |
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| Slot Width | Single-Slot |
| Form Factor | Full-Height Full-Length (FHFL) |
| Weight | 3.00 |
| Condition | Refurbished |
Product Description |
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The HPE P35634-B21 is a data center accelerator card equipped with Xilinx Alveo U50 technology. It is designed to enhance computational performance by offloading and accelerating demanding workloads in enterprise and cloud infrastructure environments. This accelerator card fits into server systems to provide specialized hardware processing capabilities for tasks such as data analytics, machine learning, and network function virtualization. IT professionals and system integrators utilize this card to improve processing efficiency and throughput in data centers. Key Features
This accelerator card plays a critical role in augmenting the processing capabilities of servers by handling specialized workloads. It supports IT infrastructure by enabling more efficient data processing, thereby helping data centers address increasing computational demands. |
Use Cases |
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The HPE P35634-B21 accelerator card is typically deployed in data center environments where workloads require hardware acceleration for specialized processing tasks. It is suitable for enterprises and cloud providers aiming to improve computational efficiency for demanding applications. How It's Used:
In operational settings, this accelerator card serves to enhance processing capabilities by handling specific computational tasks. This reduces CPU load and helps meet performance requirements for advanced data center applications. |
FAQ's |
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