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Product Overview |
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The HP NVIDIA Tesla K40 12GB GDDR5 PCI-E GPU Accelerator is a cutting-edge solution for compute-intensive tasks in high-performance computing environments. With 12GB of GDDR5 memory, a 745 MHz GPU clock, and a dual-slot design, it delivers impressive computing capabilities for complex algorithms, simulations, and analytics. Optimized for data centers and research environments, this accelerator is built to meet the needs of demanding applications requiring powerful processing and large memory capacity. The suggested PSU of 750W ensures stable operation even under heavy computational loads. |
General Information |
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| Brand | HP |
| Part Number | F1R08A |
Technical Information |
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| Chipset | Nvidia |
| GPU Clock | 745 MHz |
| Bus Interface | PCI Express 3.0 x16 |
| Supported APIs | DirectX 11 |
| Suggested PSU | 750W or higher |
| Power Connectors | 1 x 8-pin, 1 x 6-pin |
Memory |
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| Memory Size | 12GB |
| Interface | GDDR5 |
| Memory Bus | 384-bit |
Physical Characteristics |
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| Slot Width | Dual-slot |
| Weight | 3.00 |
| Condition | Refurbished |
Product Description |
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The HP NVIDIA Tesla K40 GPU Accelerator is a powerful compute accelerator designed for data-intensive workloads and high-performance computing environments. Equipped with 12GB of GDDR5 graphics memory, this card offers excellent memory bandwidth and efficiency for complex calculations. The GPU operates at a clock speed of 745 MHz and utilizes a PCI Express 3.0 x16 interface, ensuring quick data transfers between the processor and the GPU. Its dual-slot design is built for optimal cooling and performance in demanding applications. While it doesn’t offer standard video output, it supports APIs like DirectX 11.2 and is designed for compute-heavy tasks. A 750W or higher PSU is recommended for optimal performance. Key Features
The Tesla K40 GPU Accelerator from NVIDIA is ideal for environments that require significant parallel processing power. Its high-capacity memory, coupled with advanced compute capabilities, makes it a top choice for research, simulations, and data analytics. |
Use Cases |
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The HP Nvidia Tesla K40 GPU Accelerator is designed for environments that demand extensive parallel processing power and large memory capacity. It is particularly suited for research institutions, enterprise data centers, and engineering departments that run complex simulations, deep learning models, or data analytics workflows requiring high computational throughput. How It's Used:
By providing substantial processing capabilities and ample memory, the Tesla K40 helps organizations scale their compute workloads efficiently. Its compatibility with standard PCI-E infrastructure allows seamless integration into existing rack deployments, enhancing resource utilization and reducing time to insights in demanding computational scenarios. |