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| Product Overview |
|---|
The HPE NVIDIA Tesla L4 24GB Tensor Core GPU is designed to boost AI inference and data-intensive computing within server environments. It fits into high-performance setups where rapid processing and memory capacity are essential, making it a solid choice for enterprise and research applications. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P59071-001 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCIe Gen4 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.3, CUDA, Shader Model: 6.7, DirectCompute |
| Power Connectors | None |
| Memory | |
|---|---|
| Memory Size | 24GB |
| Interface | GDDR6 |
| Physical Characteristics | |
|---|---|
| Slot Width | Single-slot |
| 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 HPE NVIDIA Tesla L4 24GB Tensor Core GPU is built for accelerating AI inference, deep learning, and high-performance computing tasks. It's commonly found in data centers and enterprise servers where complex computations and large-scale machine learning models need rapid processing. Often deployed by data scientists, researchers, and IT professionals, this GPU enhances computing power without taking up excessive space, making it valuable in environments where efficiency and scalability are key. Key Features
This GPU is typically deployed in enterprise data centers running AI inference services or scientific simulations. It plays a crucial role in speeding up processing times while maintaining reliability in demanding environments. |
| Use Cases |
|---|
The HPE NVIDIA Tesla L4 24GB Tensor Core GPU is primarily utilized in data center and enterprise server environments where high-throughput AI inference and deep learning workloads are critical. It is ideal for IT teams managing large-scale virtualization and AI-accelerated computing tasks requiring both substantial memory capacity and fast PCIe Gen4 connectivity. How It's Used:
This GPU supports operational efficiency by delivering consistent performance in high-density rack deployments, facilitating scalable AI workloads without compromising server resources. Its integration into established data center infrastructures enables organizations to meet demanding compute needs while maintaining system reliability and throughput. |