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| Product Overview |
|---|
The NVIDIA Tesla V100 16GB HBM2 Graphics Card delivers robust GPU acceleration tailored for AI, data science, and HPC environments. It slots into servers and compute clusters to handle demanding workloads that benefit from its high memory and processing capabilities. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | 900-2G500-0000-000 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| GPU Clock | 1370 MHz (Base), 1530 MHz (Boost) |
| Bus Interface | PCIe 3.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL: 3.0, Vulkan: 1.3, CUDA: 7.0, Shader Model: 5.1, Shader Model: 6.7 |
| Output Interface | PCI Express 3.0 x16, NVLink (SXM2 variants) |
| Suggested PSU | 700 W |
| Power Connectors | 2x 8-pin |
| Memory | |
|---|---|
| Memory Size | 16GB |
| Interface | HBM2 |
| Memory Bus | 4096 bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Dual-slot |
| Weight | 5.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV |
| Product Description |
|---|
The NVIDIA Tesla V100 16GB HBM2 Graphics Card is built for heavy computational tasks and accelerates complex workloads. It is often found in data centers and research labs where AI training, deep learning models, and large-scale simulations require powerful GPU performance. This graphics card is commonly deployed in servers and high-performance computing clusters, helping data scientists, researchers, and engineers speed up their computations with efficient parallel processing. Key Features
Typically, the Tesla V100 is integrated into workstations or servers that demand consistent, reliable GPU power for data-heavy applications. It plays a key role in advancing machine learning models and accelerating scientific calculations. |