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| Product Overview |
|---|
The HPE NVIDIA Tesla V100 32GB graphics card acts as a high-performance accelerator designed to elevate computation in fields like artificial intelligence and scientific simulation. It fits into PCIe 3.0 x16 slots, making it compatible with many server and workstation setups. This card brings powerful processing and memory capabilities to environments that demand speed and efficiency without sacrificing reliability. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | 900-2G500-0310-030 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCIe 3.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, CUDA, DirectCompute |
| Memory | |
|---|---|
| Memory Size | 32GB |
| 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 HPE NVIDIA Tesla V100 32GB graphics card is built for demanding compute tasks, especially in artificial intelligence, machine learning, and high-performance computing environments. It offers substantial memory and processing power to handle large datasets and complex calculations efficiently. Often found in data centers and research labs, this GPU card fits into PCIe 3.0 x16 slots, making it suitable for servers and workstations that need a powerful accelerator. Engineers, scientists, and data analysts typically rely on this card to speed up their workflows and reduce compute times. Key Features
This card is commonly deployed in research facilities, cloud service providers, and enterprise servers where intense computational power is necessary. It plays a crucial role in accelerating tasks that would otherwise take much longer on traditional CPUs. |