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Product Overview |
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The NVIDIA Tesla P100 16GB HBM2 PCIe GPU Accelerator serves as a high-performance processor designed to accelerate complex computations in servers and workstations. Positioned within NVIDIA's lineup of GPU accelerators, it fits applications that require intensive floating-point operations and large-scale data handling, particularly in scientific and enterprise computing contexts. |
General Information |
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| Part Number | 900-2H400-0300-031 |
Technical Information |
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| Chipset | Nvidia |
| Interface / PCIe Slot | PCIe 3.0 x16 |
| Bus Interface | PCIe 3.0 x16 |
| Supported APIs | OpenCL, CUDA |
| ray_tracing | No |
| G-Sync / FreeSync | None |
| Cooling Type | Passive |
Memory |
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| Memory Size | 16GB |
| Interface | HBM2 |
Physical Characteristics |
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| Slot Width | 2-slot |
| Weight | 5.00 |
| 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 NVIDIA Tesla P100 16GB HBM2 PCIe GPU Accelerator is built for demanding computational tasks that require substantial parallel processing power. This GPU accelerator is often found in data centers and research facilities where large-scale calculations and deep learning models are common. Professionals in scientific computing, machine learning, and advanced analytics benefit from its robust capabilities. Key Features
Reliability and consistent performance make this accelerator a critical component in environments where precision and speed are paramount. It offers a balance between computational power and power consumption, making it suitable for integration into a variety of HPC configurations. |
Use Cases |
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This GPU accelerator is typically employed in environments demanding extensive parallel processing such as research labs, enterprise data centers, and AI development platforms. Users focusing on deep learning, simulation, and high-precision calculations find this hardware especially advantageous. How It's Used:
By integrating the Tesla P100 into these infrastructures, organizations can achieve improved throughput and scale their processing capabilities effectively. Its design supports sustained workload demands without compromising efficiency or system stability. |