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699-2G414-0200-100 NVIDIA Tesla P4 8GB GDDR5 PCI Express Video Graphics Card
SKU:
699-2G414-0200-100
Weight: 3.00 lbs
Condition: Refurbished
- 8GB GDDR5 memory for efficient data processing
- PCI Express interface ensures fast communication
- Optimized for AI inference and deep learning workloads
- Compact, low-profile design suitable for server environments
In stock
$277.57
| Product Overview |
|---|
The NVIDIA Tesla P4 8GB GDDR5 PCI Express Video Graphics Card is designed to accelerate AI inference tasks within data centers or server environments. It fits a compact space while providing efficient, reliable performance for workloads like machine learning and video processing, making it a practical choice for organizations focusing on AI-driven applications. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | 699-2G414-0200-100 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCIe 3.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.5, OpenCL, Vulkan: 1, CUDA, DirectCompute |
| Output Interface | No display outputs (compute accelerator) |
| Power Connectors | None (powered by PCIe slot) |
| Memory | |
|---|---|
| Memory Size | 8GB |
| Interface | GDDR5 |
| Memory Bus | 256-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Single-slot, Low-profile |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The NVIDIA Tesla P4 is built for accelerating AI inference and delivering high-performance computing in data centers. It is often found in server racks where space and power efficiency are critical. This card is commonly used in machine learning applications, video analytics, and cloud-based AI services. Key Features
The Tesla P4 typically appears in enterprise data centers and AI research facilities, helping to speed up complex computations without requiring excessive power. Its role is to enable smarter, faster processing where space and energy are at a premium. |
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