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Product Overview |
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The Dell Tesla P100 Pascal 16GB HBM2 Graphics Card delivers powerful GPU acceleration designed for demanding compute applications. It fits into enterprise-level systems to provide high-throughput performance ideal for AI, machine learning, and scientific research tasks. Its combination of Pascal architecture and high-bandwidth memory allows it to handle intensive workloads efficiently, making it a practical choice for professionals needing scalable GPU resources. |
General Information |
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| Brand | Dell |
| Part Number | 0RGKP9 |
Technical Information |
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| Chipset | Nvidia |
| Bus Interface | PCI Express 3.0 x16 |
| Supported APIs | OpenGL: 4.5, OpenCL, CUDA, DirectCompute |
| Output Interface | None (no display outputs, compute accelerator card) |
| Suggested PSU | 600W (system recommended minimum; depends on overall server configuration) |
Memory |
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| Memory Size | 16GB |
| Interface | HBM2 |
| Memory Bus | 4096-bit |
Physical Characteristics |
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| Slot Width | Dual-slot (2-slot) |
| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
Product Description |
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The Dell Tesla P100 Pascal 16GB HBM2 Graphics Card is built for accelerating workloads that demand massive parallel processing power. This card is often found in data centers and research labs where AI training, machine learning, and heavy computational simulations take place. It’s commonly used by data scientists, engineers, and researchers who need reliable and fast GPU performance to handle large-scale data sets and complex calculations. Key Features
The Tesla P100 is typically deployed in server racks powering AI model training or scientific computations requiring rapid matrix math. Its design helps reduce the time for complex simulations and data analysis, making it a core component in high-performance computing environments. |
Use Cases |
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The Dell Tesla P100 Pascal 16GB HBM2 Graphics Card is predominantly utilized in high-performance computing environments where large-scale parallel processing is essential. Organizations running AI model training, scientific research simulations, or data-intensive analytics benefit from integrating this GPU into their existing server infrastructure. How It's Used:
This graphics card supports operational efficiency by delivering high throughput and memory bandwidth critical for compute-intensive tasks. Its compatibility with standard PCIe slots allows integration into existing enterprise hardware, facilitating scalability as computational demands evolve. |