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| Product Overview |
|---|
The NVIDIA Tesla L4 is designed to accelerate AI inference and graphical processing in environments where efficient power use is essential. It fits well into data centers, edge servers, and virtualized setups, providing solid performance for AI workloads and multimedia tasks while keeping power consumption low. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | 900-2G193-0000-001 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCIe 4.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.3, CUDA, DirectCompute |
| Output Interface | None |
| 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 NVIDIA Tesla L4 is a specialized GPU designed for AI inference, graphics, and virtualization tasks. It’s built for data centers and edge deployments where efficient, high-throughput processing is needed without excessive power draw. Often found in environments running AI models, graphics rendering, or video streaming, this card suits professionals working in machine learning, data science, or cloud services who need reliable acceleration with a smaller power footprint. Key Features
This GPU is commonly deployed in data centers focused on AI workloads or virtual desktop infrastructure, where performance and energy efficiency both matter. Its role is to accelerate AI computations and graphics tasks without requiring bulky cooling or excessive power, making it practical for dense server racks or edge computing sites. |
| Use Cases |
|---|
The NVIDIA Tesla L4 GPU is ideal for organizations deploying AI inference and multimedia processing within space-constrained and power-sensitive server environments. It supports IT professionals working in data centers, edge computing nodes, and virtualized infrastructures seeking optimized performance-per-watt ratios for demanding workloads. How It9s Used:
By balancing computational capabilities with low power consumption, the NVIDIA Tesla L4 enables scalable and efficient GPU acceleration across diverse infrastructure types. This aligns with operational priorities to maximize throughput while maintaining manageable energy and cooling requirements in complex IT environments. |