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Product Overview |
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The HPE Xilinx Alveo U50 Data Center Accelerator Card provides FPGA-based acceleration tailored for high-demand data center workloads. Featuring a PCIe Gen4 interface, it offers enhanced data transfer rates suitable for integrating with server environments requiring specialized computational processing. |
General Information |
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| Brand | HPE |
Technical Information |
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| Chipset | AMD |
| Interface / PCIe Slot | PCIe 4.0 x16 |
| Supported Frameworks | OpenCL, PyTorch, TensorFlow, ONNX Runtime |
| Supported Precisions | FP32, BF16, FP16, INT8 |
| 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 | Full-Height Full-Length (FHFL) |
| Form Factor | Full-Height Full-Length (FHFL) |
| Weight | 3.00 |
| Condition | Refurbished |
Product Description |
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The HPE Xilinx Alveo U50 Data Center Accelerator Card (PCIe Gen4) is engineered to augment data center processing capabilities by offloading specialized computational workloads. This accelerator card is typically deployed in server environments requiring hardware acceleration for tasks such as machine learning, data analytics, and signal processing. IT professionals and data center operators utilize this card to integrate FPGA-based acceleration into their existing infrastructure, leveraging its PCIe Gen4 interface for improved throughput. Key Features
This accelerator card serves as a dedicated hardware resource to enhance specific applications within data centers. By integrating FPGA acceleration, it offers a programmable platform that can be tailored to diverse workload requirements, aiding in efficient resource utilization. |
Use Cases |
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The HPE Xilinx Alveo U50 card is commonly used in data centers that manage complex computational tasks requiring hardware acceleration. It fits well in environments where workloads such as machine learning inference, data analytics, and signal processing benefit from FPGA programmability. How It's Used:
Overall, this accelerator card occupies a key role as a hardware extension within data centers, enabling targeted acceleration of specific workloads to optimize server resource utilization and improve computational efficiency. |
FAQ's |
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