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| Product Overview |
|---|
The HPE NVIDIA Tesla V100 PCIe 32GB accelerator delivers robust GPU computing power aimed at scientific and AI workloads. It fits into PCIe slots of server machines, providing a balance between high memory capacity and broad system compatibility without needing specialized hardware setups. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | Tesla V100-PCIE-32GB |
| Series | NVIDIA Tesla V100 PCIe 32GB (HPE variant) |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The HPE NVIDIA Tesla V100 PCIe 32GB is built for heavy computational tasks like AI training, deep learning, and scientific simulations. It commonly sits inside data centers and research labs where processing vast datasets and accelerating algorithms is essential. Engineered for machine learning engineers, data scientists, and HPC specialists, this accelerator handles demanding parallel workloads efficiently. You’ll often find it deployed in servers that require powerful GPUs without the constraints of specialized interconnects. Key Features
This accelerator is typically installed in enterprise servers and research clusters where computational efficiency directly impacts productivity. It enables faster model training and simulation runs, helping reduce project timelines without changing existing infrastructure much. |
| Use Cases |
|---|
This computational accelerator is suited for applications requiring substantial processing power and memory capacity. How It's Used:
The Tesla V100 PCIe 32GB enables organizations to enhance computational efficiency and tackle complex problems with reduced latency. |