Dell Nvidia P3651 A100 / H100 2-Slot x16 NVLink Bridge Adapter (2 WAY). P/N: RWJ7Y, 0RWJ7Y.
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- Specifications
- Description
| Manufacturer Part Number | RWJ7Y, 0RWJ7Y, 900-53651-0100-001, 900-53651-0000-000, 699-53651-0500-201 |
| Manufacturer | Nvidia |
| Condition | Refurbished |
| Standard Warranty | 90 Day Replacement Warranty |
| Item Category | GPU Interconnect / Bridge |
| Model | P3651 (NVLink Bridge) |
| Form Factor | 2-Slot / x16 PCIe spacing |
| Interface | NVLink |
| External Interfaces | NVLink Connectors |
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| Compatible Port | Nvidia A100 / H100 GPUs (NVLink Interface) |
| Number of Ports | 2 (GPU connections) |
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This is a genuine Dell Nvidia P3651 A100 / H100 2-Slot x16 NVLink Bridge Adapter (P/N: RWJ7Y, 0RWJ7Y, 900-53651-0100-001, 900-53651-0000-000, 699-53651-0500-201). Designed for high-performance computing (HPC) and artificial intelligence (AI) workloads, this NVLink bridge is a critical component for maximizing the performance of Nvidia A100 and H100 Tensor Core GPUs in compatible Dell PowerEdge servers. It establishes a high-bandwidth, low-latency direct connection between two adjacent GPUs, bypassing the PCIe bus to enable unprecedented data transfer speeds between them. This 2-way, 2-slot x16 configuration ensures that the GPUs can efficiently share data and memory at peak performance, which is essential for accelerating large-scale deep learning training, scientific simulations, and other compute-intensive tasks. By facilitating faster inter-GPU communication, the NVLink bridge unlocks the full potential of your Nvidia A100/H100 setup.
Key Features
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Genuine Dell Nvidia Component: Ensures full compatibility and validated performance with Dell PowerEdge servers and Nvidia A100/H100 GPUs.
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A100 / H100 Compatibility: Specifically designed to connect Nvidia A100 and H100 Tensor Core GPUs, leveraging their advanced NVLink technology.
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2-Way, 2-Slot x16 NVLink Configuration: Connects two adjacent GPUs located in x16 PCIe slots, providing a direct, high-speed link.
- High-Bandwidth, Low-Latency Interconnect: Enables significantly faster GPU-to-GPU communication compared to PCIe, crucial for accelerating multi-GPU workloads.
- Enhanced GPU Performance: Maximizes the performance of interconnected GPUs by allowing them to share data and access each other's memory more efficiently.
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Essential for Scalable AI/HPC: A vital component for deep learning training, scientific simulations, and other compute-intensive applications requiring massive parallel processing.
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Improved Data Throughput: Bypasses PCIe bandwidth limitations for direct GPU communication, reducing bottlenecks and improving overall system throughput.