HPE Nvidia Tesla P100 16GB PCIe GPU Accelerator Q0E21A 868199-001 868585-001
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- Specifications
- Description
| Manufacturer Part Number | Q0E21A 868585-001 868199-001 |
| Manufacturer | HPE Nvidia |
| Condition | Refurbished |
| Standard Warranty | 90 Day Replacement Warranty |
| Item Category | Graphics Cards |
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HPE NVIDIA Tesla P100 16GB PCIe GPU Accelerator (Q0E21A / 868199-001 / 868585-001)
Supercharge your server performance with the HPE NVIDIA Tesla P100 16GB PCIe GPU Accelerator. Engineered for data centers, this GPU is ideal for AI, machine learning, deep learning, and high-performance computing (HPC) tasks. Built on the Pascal architecture, it delivers massive parallel computing power in a PCIe form factor — perfect for demanding workloads.
Official HPE Part Numbers: Q0E21A, 868199-001, 868585-001
Interface: PCI Express Gen3 x16
Cooling: Passive (requires compatible server airflow)
Technical Specifications:
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GPU Architecture: NVIDIA Pascal™
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Memory: 16GB HBM2
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Memory Bandwidth: 732 GB/s
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CUDA Cores: 3,584
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Interface: PCIe Gen3 x16
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TDP (Power Draw): Approx. 250W
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Cooling Type: Passive (heatsink only, no fan)
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Form Factor: Full-height, dual-slot PCIe card
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Single Precision (FP32): Up to 9.3 TFLOPS
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Double Precision (FP64): Up to 4.7 TFLOPS
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NVLink Support: No (available in SXM2 variant only)
Compatible Replacement For:
This Tesla P100 GPU can be used as a direct replacement for the following part numbers:
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Q0E21A
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868199-001
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868585-001
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900-2H400-0300-031
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699-2H400-0201-500
Server Compatibility:
Compatible with a wide range of HPE ProLiant, Apollo, and other enterprise-class servers that support dual-slot, PCIe 3.0 GPUs with sufficient airflow and power. Commonly supported platforms include:
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HPE ProLiant DL380 Gen9 / Gen10
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HPE Apollo 6500
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HPE ML350 / DL180 / DL560 (confirm power/cooling specs)
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Custom-built HPC or AI servers with PCIe support
Important: This is a passively cooled GPU — proper chassis airflow and server compatibility are required. Always verify your server supports the Tesla P100 PCIe model before installation.
Ideal Use Cases:
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Machine Learning & AI Inference
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Deep Learning Training
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Scientific Research & Simulation
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Financial Modeling
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HPC & Big Data Workloads
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Virtualization & GPU Compute
Upgrade your infrastructure with enterprise-grade GPU acceleration. The Tesla P100 offers the perfect balance of performance, efficiency, and scalability for modern workloads.