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| Product Overview |
|---|
The Dell NVIDIA Tesla V100S 32GB HBM2 PCIe Passive GPU graphics card provides powerful computing capabilities for AI, machine learning, and scientific research. It fits into PCIe slots of servers designed for high-performance tasks, offering a balance of memory capacity and processing power without active cooling requirements. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | 699-2G500-0212-400 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| GPU Clock | 1530 MHz (Boost) |
| Bus Interface | PCIe 3.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, DirectCompute |
| Output Interface | None (compute accelerator, no display outputs) |
| Suggested PSU | 600W |
| Power Connectors | 1 x 8-pin PCIe |
| Memory | |
|---|---|
| Memory Size | 32GB |
| Interface | HBM2 |
| Memory Bus | 4096-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Dual-slot |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV, cULus |
| Product Description |
|---|
This Dell NVIDIA Tesla V100S 32GB GPU is built for demanding computing tasks that require massive parallel processing power. Often found in data centers and research facilities, it accelerates AI training, scientific simulations, and complex analytics with high memory bandwidth and computational throughput. Engineered with a passive cooling system, it fits well in servers with dedicated airflow setups. It’s typically used by data scientists, engineers, and researchers who need a reliable GPU to handle large datasets and intensive calculations. Key Features
These GPUs are commonly deployed in high-performance computing clusters and AI research labs. Their ability to process large-scale workloads efficiently makes them a critical component in environments where speed and accuracy matter. |