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NVIDIA Tesla P41 24GB GDDR5 PCIe 3.0 x16 GPU Accelerator
SKU:
Tesla P41
Weight: 3.00 lbs
Condition: Refurbished
- 24GB GDDR5 memory for handling large datasets
- PCIe 3.0 x16 interface ensuring high data transfer rates
- Optimized for GPU-accelerated computing tasks
- Designed to boost performance in AI, deep learning, and HPC workloads
In stock
$517.50
| Product Overview |
|---|
The Tesla P41 NVIDIA Tesla P41 24GB GDDR5 PCIe 3.0 x16 GPU Accelerator delivers substantial GPU compute power designed for intensive workloads in AI, machine learning, and scientific computing. It fits into server and workstation environments, providing the necessary hardware to accelerate data-heavy applications with its large memory and fast PCIe interface. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | Tesla P41 |
| Series | Tesla P40 |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The NVIDIA Tesla P41 is a GPU accelerator built for demanding computational tasks that require significant parallel processing power. It's often found in data centers and research institutions where AI training, machine learning, and scientific simulations are common. Engineered to work seamlessly within servers and workstations, this accelerator benefits data scientists, researchers, and engineers who need to run complex models efficiently. Its capabilities make it suitable for tackling large-scale problems that benefit from GPU acceleration. Key Features
Typically deployed in research labs and enterprise data centers, the Tesla P41 is valued for accelerating analytics and simulations. Its use helps reduce processing times on complex computations, enabling faster insights and development cycles. |
| Use Cases |
|---|
The NVIDIA Tesla P41 GPU Accelerator is utilized in scenarios that demand robust computational capabilities and large memory capacity. How It's Used:
Its deployment in these areas helps organizations achieve faster computation times and improved data handling efficiency, facilitating advanced research and development. |
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