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Product Overview |
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The HPE NVIDIA Tesla A16 64GB GDDR6 Passive CUDA GPU PCIe Accelerator Card delivers robust GPU acceleration designed to support artificial intelligence and virtualization tasks. Its large memory and passive cooling make it suitable for busy data centers aiming for high performance in a compact form factor. |
General Information |
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| Brand | HPE |
| Part Number | 900-2G171-0300-130 |
| Series | NVIDIA Tesla A16 |
Physical Characteristics |
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| Weight | 3.00 |
| Condition | Refurbished |
Product Description |
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The HPE NVIDIA Tesla A16 is a GPU accelerator card built for demanding workloads such as AI inference, machine learning, and virtual desktop infrastructure. It’s commonly used in data centers and enterprise servers where multiple GPUs are deployed for compute-intensive tasks. Often found in environments requiring high-density GPU setups, this card offers efficient passive cooling, making it ideal for racks with optimized airflow. IT professionals and data scientists benefit from its large memory and parallel processing capabilities. Key Features
This accelerator card is typically deployed in enterprise data centers powering AI inference tasks or virtual desktops where GPU resources are shared among users. It plays a crucial role in enhancing compute power without increasing cooling complexity. |
Use Cases |
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The HPE NVIDIA Tesla A16 64GB GDDR6 Passive CUDA GPU PCIe Accelerator Card is primarily utilized in high-density data center environments where AI inference and virtualization workloads demand substantial GPU resources. It benefits IT organizations deploying multi-tenant virtual desktop infrastructure (VDI) and AI-driven applications that require efficient, scalable GPU acceleration without adding additional cooling complexity. How It's Used:
This accelerator card supports operational efficiency by delivering robust GPU performance while maintaining thermal reliability in constrained server environments. Its scalability aligns with expanding virtualization and AI workloads, ensuring consistent performance across growing infrastructure demands. |