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Product Overview |
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The Dell NVIDIA Tesla A16 64GB GDDR6 Passive PCIe Accelerator is built to deliver reliable AI inference acceleration within data centers. It fits into server environments where passive cooling is preferred, ensuring smooth operation in dense racks without added noise or heat. This accelerator handles large models with its ample memory and fast PCIe connectivity, helping organizations scale AI workloads effectively. |
General Information |
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| Brand | Nvidia |
| Part Number | 699-2G171-0200-302 |
| Series | NVIDIA A16 |
Miscellaneous |
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| Compliance Standards | WEEE, RoHS, CE, FCC |
Physical Characteristics |
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| Weight | 3.00 |
| Condition | Refurbished |
Product Description |
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The Dell NVIDIA Tesla A16 is a high-performance PCIe accelerator built for demanding AI and data center workloads. It is commonly used in servers and workstations that require efficient processing of large-scale machine learning models and real-time inference tasks. Often found in enterprise environments and cloud data centers, this accelerator benefits IT professionals and data scientists looking to speed up AI computations without adding significant heat or noise, thanks to its passive cooling design. Key Features
This accelerator is typically deployed in data centers where space and cooling are at a premium. It plays a key role in enhancing AI inference capabilities while maintaining energy efficiency and quiet operation, making it a practical choice for modern enterprise infrastructures. |
Use Cases |
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The Dell NVIDIA Tesla A16 64GB GDDR6 Passive PCIe Accelerator is primarily deployed in high-density data center environments where efficient AI inference processing is critical. It is ideal for organizations running large-scale AI workloads that require substantial memory capacity and passive cooling to maintain operational stability within dense server racks. How It's Used:
By integrating into passive-cooled PCIe slots, the Tesla A16 ensures stable performance under sustained AI inference loads, enabling organizations to scale processing capabilities without compromising data center cooling constraints. Its design aligns well with operational demands that prioritize quiet, efficient hardware deployment in tightly packed environments. |