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| Product Overview |
|---|
The IBM/NVIDIA Tesla T4 16GB GDDR6 PCI-E 3.0 x16 GPU accelerator card delivers targeted GPU computing power tailored for AI and machine learning tasks. It fits into server environments where efficient, high-performance graphics processing is needed without a large physical footprint. This card supports demanding workloads commonly encountered in data centers and enterprise systems. |
| General Information | |
|---|---|
| Brand | IBM |
| Part Number | 02CM978 |
| Series | NVIDIA Tesla T4 |
| Miscellaneous | |
|---|---|
| Compliance Standards | RoHS, CE, FCC |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The IBM/NVIDIA Tesla T4 GPU accelerator card is designed to boost computing performance in data centers and AI applications. It is commonly found in servers running deep learning, inference, and high-performance computing tasks. This card is built for professionals and organizations needing efficient, scalable GPU power without excessive energy consumption. Key Features
This accelerator card is typically deployed in enterprise data centers, cloud infrastructure, and research labs where fast, reliable GPU processing is critical. It plays a key role in accelerating AI inference and large-scale data operations, helping reduce processing times while maintaining consistent performance. |
| Use Cases |
|---|
The IBM/NVIDIA Tesla T4 GPU accelerator card is predominantly deployed in enterprise data centers and cloud environments where AI inference and machine learning workloads demand efficient GPU utilization without compromising server density. It is particularly suitable for IT teams managing virtualized infrastructures and those requiring scalable GPU resources for computational tasks. How It's Used:
This GPU accelerator card contributes to operational efficiency by delivering high-performance computing in a compact form factor, enabling scalable deployment in constrained server environments. Its compatibility with diverse workloads supports IT infrastructures seeking to optimize performance and resource utilization simultaneously. |