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Product Overview |
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The NVIDIA Tesla A16 64GB GDDR6 Passive CUDA GPU PCIe Accelerator Card delivers high-performance GPU acceleration optimized for data center environments. It fits well in systems requiring silent operation and powerful CUDA compute capabilities, offering a balance between memory capacity and efficient cooling design. |
General Information |
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| Brand | Nvidia |
| Part Number | 900-2G171-0000-000 |
| Series | NVIDIA Tesla A16 |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE, FCC |
Physical Characteristics |
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| Weight | 3.00 |
| Condition | Refurbished |
Product Description |
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The NVIDIA Tesla A16 is built to accelerate GPU-intensive applications, offering a robust solution for high-density server environments. It's commonly used in data centers that require efficient AI inference, virtual desktop infrastructure (VDI), and graphics rendering. Often found in enterprise setups, this passive-cooled card is designed for users who need powerful parallel processing without added noise or extensive cooling requirements. IT professionals and system integrators benefit from its compatibility and performance. Key Features
This GPU accelerator is typically deployed in data centers powering AI workloads, virtual desktops, and compute-intensive simulations. It allows organizations to scale their GPU resources efficiently while maintaining energy and space efficiency. Its role in modern infrastructure helps streamline heavy computational tasks without the noise and heat of active cooling, making it a practical choice for dense server environments. |
Use Cases |
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The NVIDIA Tesla A16 64GB GDDR6 Passive CUDA GPU PCIe Accelerator Card is designed for high-density GPU acceleration in data center and enterprise virtualization environments. It is best suited for IT professionals managing large-scale virtual desktop infrastructure (VDI) or AI inference workloads where silent operation and efficient cooling are critical. How It's Used:
This GPU accelerator enhances operational efficiency by providing scalable CUDA compute capacity without increasing noise or cooling overhead. Its passive design ensures compatibility with existing data center airflow strategies, facilitating flexible deployment in demanding virtualized and AI-driven infrastructures. |