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Product Overview |
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The R6B53A HPE NVIDIA A100 40GB PCIe Gen4 Computational Accelerator provides 40GB of memory and a PCIe Gen4 interface to meet computational demands. It is designed for integration into server systems requiring GPU acceleration, enabling enhanced data processing capabilities within supported configurations. |
General Information |
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| Brand | HPE |
| Part Number | R6B53A |
Technical Information |
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| Chipset | Nvidia |
| GPU Architecture | Ampere (NVIDIA) |
| Interface / PCIe Slot | PCIe 4.0 x16 |
| Supported Frameworks | CUDA, TensorRT, PyTorch, TensorFlow, JAX, ONNX Runtime |
| Supported Precisions | FP64, FP32, TF32, BF16, FP16, INT8, INT4, INT1 |
| ECC Memory | Yes — Full ECC |
| Cooling Type | Passive |
| Power Connector | 1x 8-pin |
Memory |
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| Memory Size | 40GB |
| Interface | HBM2 |
| Memory Bus | 5120-bit |
Miscellaneous |
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| Assembly Required | No |
| Compliance Standards | WEEE, RoHS, CE, FCC |
Physical Characteristics |
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| Slot Width | 2-slot |
| Form Factor | Full-Height Full-Length (FHFL) |
| Weight | 3.00 |
| Condition | Refurbished |
Product Description |
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The R6B53A HPE NVIDIA A100 40GB PCIe Gen4 Computational Accelerator is a specialized hardware component designed to accelerate computational workloads. It is utilized in environments requiring enhanced parallel processing capabilities, such as data centers and research institutions. This accelerator is typically employed by IT professionals and system administrators who manage high-performance computing systems and need to augment processing power for complex calculations. Key Features
This computational accelerator plays a critical role in enhancing processing throughput for demanding applications. It integrates into server environments to support workloads that benefit from GPU-based acceleration, contributing to efficient computational task execution. |
Use Cases |
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This accelerator is primarily used in data centers and enterprise server environments where computational acceleration is required for workloads such as scientific simulations, machine learning, and data analytics. It is suited for IT teams managing systems that leverage GPU technology for improved processing efficiency. How It's Used:
The R6B53A accelerator serves as a vital component in systems aimed at reducing computation time for complex processes. It complements CPU resources by offloading parallel tasks, thus improving overall system workload management. |
FAQ's |
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