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| Product Overview |
|---|
The HP NVIDIA Tesla V100 SXM2 16GB is a high-performance GPU designed primarily for AI, deep learning, and scientific computing. It fits into advanced server environments where dense GPU configurations and fast memory access are required. The card offers significant computational power and memory bandwidth, making it a key component in accelerating complex data processing tasks. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | Q2N66A |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | SXM2,NVLink 2.0 |
| Supported APIs | OpenCL, CUDA, CUDA: 7.0 |
| Output Interface | None (headless compute accelerator) |
| Power Connectors | None (powered via SXM2 socket) |
| Memory | |
|---|---|
| Memory Size | 16GB |
| Interface | HBM2 |
| Memory Bus | 4096-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | SXM2 module |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The HP NVIDIA Tesla V100 SXM2 16GB graphics card is built for intensive computational tasks such as AI model training, scientific simulations, and large-scale data analysis. Commonly integrated into high-performance servers and data centers, this card meets the demands of researchers and engineers who need reliable and fast GPU acceleration. Often found in environments where speed and memory capacity are critical, the Tesla V100's design supports complex workflows that require heavy parallel processing and large memory bandwidth. Professionals working in machine learning, scientific research, and advanced visualization benefit from the card's ability to handle intricate calculations efficiently. Key Features
This GPU is typically deployed in data centers powering AI research, large-scale simulations, and complex computational workloads. It plays a crucial role in reducing training times and handling workloads that would otherwise overwhelm standard GPUs. The Tesla V100 SXM2 is essential wherever powerful parallel computation and memory throughput are needed. |