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Product Overview |
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The Cisco NVIDIA Tesla T4 is a GPU accelerator card that delivers powerful AI inference and data processing capabilities in a compact, energy-efficient package. It fits into standard server PCIe slots and is designed to enhance computing performance for data centers and AI applications. |
General Information |
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| Brand | Cisco |
| Part Number | 699-2G183-0200-200H |
| Series | NVIDIA Tesla T4 |
Technical Information |
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| Chipset | Nvidia |
| GPU Architecture | Turing (NVIDIA) |
| Interface / PCIe Slot | PCIe 3.0 x16 |
| Supported Frameworks | CUDA, OpenCL, TensorRT, PyTorch, TensorFlow, JAX, MXNet, ONNX Runtime |
| Supported Precisions | FP32, FP16, INT8, INT4 |
| Cooling Type | Passive |
| Power Connector | None (slot-powered) |
Memory |
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| Memory Size | 16GB |
| Interface | GDDR6 |
| Memory Bus | 256-bit |
Miscellaneous |
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| Assembly Required | No |
| Compliance Standards | RoHS, CE |
Physical Characteristics |
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| Slot Width | Half-Height Half-Length (HHHL) |
| Form Factor | Half-Height Half-Length (HHHL) |
| Weight | 3.00 |
| Condition | Refurbished |
Product Description |
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The Cisco NVIDIA Tesla T4 GPU accelerator card is built to accelerate machine learning inference, graphics rendering, and data analytics. It's commonly used in data centers, cloud computing environments, and AI research labs where demanding computational tasks require GPU power. Often found in servers and workstations, this card benefits data scientists, AI developers, and IT professionals aiming to improve performance without significant power draw. Its compact size allows integration into various server configurations without occupying excessive space. Key Features
This GPU accelerator is typically deployed in modern data centers and enterprise environments where AI and analytics demand scalable and efficient hardware. It plays a crucial role in speeding up inference tasks and managing workloads that require parallel processing capabilities. |
Use Cases |
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The Cisco 16GB GDDR6 NVIDIA Tesla T4 GPU accelerator is primarily deployed in data centers and enterprise environments where AI inference and high-throughput data processing are critical. It benefits IT professionals managing virtualization, edge computing, and scalable server infrastructures requiring enhanced computational efficiency. How It's Used:
This GPU accelerator facilitates operational scalability by delivering consistent performance improvements across diverse workloads. Its compact design and PCIe 3.0 interface enable seamless integration into existing server ecosystems, supporting efficient resource allocation and workload distribution. |