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| Product Overview |
|---|
The HP NVIDIA Tesla T4 16GB accelerator is designed to handle AI and machine learning workloads by delivering a mix of performance and efficiency. It fits into data center environments where space and power are considerations but computational demands remain high. This card balances memory capacity and processing capabilities to support a variety of inference and analytics tasks. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | R0W29A |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCI Express 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) |
| Power Connectors | None (powered via PCIe slot; typical TDP 70W) |
| Memory | |
|---|---|
| Memory Size | 16GB |
| Interface | GDDR6 |
| Memory Bus | 256-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Single-slot, Low profile |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The HP NVIDIA Tesla T4 16GB Computational Accelerator is built for demanding AI, machine learning, and data analytics tasks. It is commonly found in servers and data centers where quick processing of large datasets is critical. Professionals working on deep learning, inference engines, and virtualization benefit from its balanced performance and low power usage. Key Features
This accelerator is often deployed in cloud servers, AI research labs, and enterprise data centers. It helps speed up workflows by efficiently handling complex calculations and large-scale data parallelism, which is crucial for real-time analytics and scalable AI applications. |
| Use Cases |
|---|
The R0W29A HP NVIDIA Tesla T4 16GB Computational Accelerator Video Graphics Card is optimized for accelerating AI and machine learning tasks in professional environments. How It's Used:
This graphics card supports organizations in achieving faster computation times and improved efficiency across various high-performance computing applications. |