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Lenovo NVIDIA Tesla A2 16GB Professional Computing GPU
SKU:
Tesla A2
Weight: 3.00 lbs
Condition: Refurbished
- 16GB GDDR6 memory for heavy computational tasks
- NVIDIA Ampere architecture designed for AI and data science
- Optimized for professional computing and deep learning workloads
- Compatible with Lenovo systems for seamless integration
In stock
$665.85
| Product Overview |
|---|
The Tesla A2 from NVIDIA is a professional-grade GPU aimed at accelerating AI and machine learning workloads within Lenovo systems. It offers a balance of memory capacity and efficient design, fitting well in data centers or workstations focused on computational tasks. This GPU helps users handle demanding software and large datasets effectively without compromising on energy use or system compatibility. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | Tesla A2 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCI Express 4.0 x16 |
| Supported APIs | OpenCL, CUDA |
| Output Interface | None (headless, no display outputs) |
| Memory | |
|---|---|
| Memory Size | 16GB |
| Interface | GDDR6 |
| Memory Bus | 128-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Single-slot |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Product Description |
|---|
The NVIDIA Tesla A2 GPU is built for professionals who need reliable and efficient computing power for AI, machine learning, and data analytics. Often found in data centers and workstations, it accelerates complex calculations and deep learning models with ease. It’s commonly used by researchers, engineers, and developers focusing on high-performance workloads. Key Features
This GPU is typically deployed in enterprise data centers and research labs where continuous, high-speed computing is essential. Users benefit from its balance of power and efficiency, allowing for extended, intensive computations without overheating or excessive power draw. |
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