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| Product Overview |
|---|
The HPE NVIDIA Tesla L4 24GB Tensor Core GPU provides efficient AI inference and graphics acceleration in a compact PCIe Gen4 x16 form factor. It's designed to fit into existing server infrastructures and deliver reliable performance for AI and machine learning tasks without excessive power consumption. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | 900-2G193-0300-001 |
| 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 |
| Memory | |
|---|---|
| Memory Size | 24GB |
| Interface | GDDR6 |
| Physical Characteristics | |
|---|---|
| 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 PCIe Gen4 x16 GPU is built for demanding AI inference, machine learning, and graphics processing applications. It's commonly used in data centers and workstations where high-throughput and low-latency computation are essential. Often found in environments handling complex simulations, deep learning inference, and visual computing, this card is well-suited for data scientists, AI engineers, and developers who need powerful GPU acceleration without the bulk of traditional GPUs. Key Features
This GPU is typically deployed in server racks or specialized AI appliances where space and power efficiency matter. It helps accelerate inference workloads, enabling faster decision-making and smoother deployment of AI models. By integrating this GPU, organizations can improve throughput on AI workloads while maintaining a manageable thermal and power profile, making it a practical choice for modern AI operations. |