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NVIDIA Tesla P4 8GB GDDR5 PCIe 3.0 x16 GPU Accelerator
SKU:
TESLA P4
Weight: 3.00 lbs
Condition: Refurbished
- 8GB GDDR5 memory for efficient AI and inference tasks
- PCIe 3.0 x16 interface ensuring high data transfer rates
- Optimized for low-power, high-density server environments
- Supports deep learning inference and video analytics workloads
In stock
$148.35
| Product Overview |
|---|
The NVIDIA Tesla P4 GPU accelerator is designed to provide efficient AI inference and video analytics in compact server setups. It fits easily into existing infrastructure, offering a balance of speed and power savings that suits large-scale and edge deployments alike. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | TESLA P4 |
| Series | Tesla P4 |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The NVIDIA Tesla P4 GPU accelerator is built for deploying AI inference and deep learning workloads at scale. Often found in data centers and edge servers, it delivers high throughput while maintaining energy efficiency. Commonly used in applications like image recognition, speech processing, and video analytics, the Tesla P4 is a go-to choice for organizations needing powerful yet compact AI acceleration. It benefits developers and IT teams managing AI-driven services requiring reliable, consistent performance. Key Features
Typically deployed in hyperscale data centers and enterprise AI servers, the Tesla P4 plays a critical role in handling inference workloads efficiently. It enables scalable AI solutions without demanding excessive power or space, making it a practical choice for modern computing environments. |
| Use Cases |
|---|
The NVIDIA Tesla P4 is widely used in environments where AI inference and machine learning acceleration are required. How It's Used:
This GPU accelerator enables organizations to efficiently handle complex AI tasks while maintaining low power consumption and seamless integration into existing server setups. |
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