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| Product Overview |
|---|
The HPE NVIDIA Tesla P100 SXM2 16GB GPU serves as a specialized accelerator designed to boost performance in servers handling intensive computing tasks. It fits into environments where AI training, simulations, and data analysis demand fast, reliable processing with ample memory bandwidth. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | NVIDIA TESLA P100 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| GPU Clock | Base ~1190 MHz, Boost up to ~1328 MHz |
| Bus Interface | SXM2 (NVLink) |
| Supported APIs | OpenGL: 4.5, OpenCL, Vulkan: 1, CUDA, DirectCompute |
| Output Interface | None (compute accelerator, no display outputs) |
| Suggested PSU | 750W |
| Power Connectors | None (powered via SXM2 connector/backplane) |
| Memory | |
|---|---|
| Memory Size | 16GB |
| Interface | HBM2 |
| Memory Bus | 4096-bit |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV |
| Product Description |
|---|
The NVIDIA Tesla P100 is a powerful GPU accelerator built for demanding compute tasks such as machine learning, scientific simulations, and large-scale data analytics. It often finds use in data centers and research institutions where parallel processing and high memory bandwidth are essential. Built on the Pascal architecture, this GPU benefits professionals and researchers who require consistent, high-performance computing for their complex workloads. It's commonly integrated into servers that handle AI model training, deep learning, and technical computing. Key Features
Typically deployed in high-performance computing clusters and AI training environments, the Tesla P100 accelerates computation without sacrificing stability. It plays a key role in research labs and enterprise data centers aiming to process large datasets and complex models faster. |
| Use Cases |
|---|
The HPE NVIDIA Tesla P100 SXM2 16GB GPU is commonly deployed in high-performance computing clusters and data centers where large-scale parallel processing is critical. It is particularly suited for organizations running AI model training, scientific simulations, and complex data analytics that require efficient memory bandwidth and computational throughput. How It's Used:
This GPU enables operational efficiency by delivering sustained high throughput and memory performance in demanding computational environments. Its form factor and architecture facilitate scalability in rack-mounted server deployments, supporting evolving workloads without compromising processing speed or reliability. |