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Product Overview |
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The HPE NVIDIA Tesla A16 64GB GDDR6 Passive CUDA GPU PCIe Accelerator Card delivers substantial parallel processing capability for enterprise workloads. It fits into server infrastructures needing high memory capacity and efficient passive cooling, mainly supporting AI and virtualization applications without adding active fan noise. |
General Information |
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| Brand | HPE |
| Part Number | P47877-001 |
| Series | NVIDIA A16 |
Miscellaneous |
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| Compliance Standards | WEEE, RoHS, CE, FCC, UL, cULus |
Physical Characteristics |
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| Weight | 3.00 |
| Condition | Refurbished |
Product Description |
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The HPE NVIDIA Tesla A16 64GB GPU accelerator card is built for handling intensive computational workloads such as AI inference, machine learning, and virtual desktop infrastructure. Often found in data centers and enterprise server setups, it provides robust parallel processing power with its 64GB GDDR6 memory and CUDA cores. Engineered with a passive cooling system, it fits well in environments with adequate airflow, making it ideal for high-density server racks. IT professionals and organizations focused on scalable compute performance typically deploy this card to accelerate demanding applications. Key Features
This accelerator card is commonly integrated into enterprise-grade servers running AI workloads or virtualized environments. Its role is to boost processing speed while maintaining efficient thermal management. Users often notice improved task throughput and reduced latency in compute-heavy scenarios where this GPU is deployed. |
Use Cases |
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The HPE NVIDIA Tesla A16 64GB GPU is designed for high-density server environments where passive cooling is essential, such as data centers focused on virtualization and AI workloads. It benefits IT teams requiring substantial GPU memory and efficient thermal management without active fan noise, enabling deployment in constrained rack spaces. How It's Used:
This GPU accelerator contributes to operational efficiency by reducing cooling demands while maintaining high processing throughput, allowing IT infrastructure to scale effectively in virtualization and AI-centric deployments. |