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| Product Overview |
|---|
The NVIDIA Tesla L4 is a compact GPU designed to accelerate AI inference workloads efficiently. It fits into environments where both performance and power consumption matter, making it suitable for edge servers and AI-focused compute nodes. This GPU bridges the gap between high computational needs and practical energy use, supporting a variety of AI applications without demanding extensive cooling or power infrastructure. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | Tesla L4 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCIe Gen4 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, DirectCompute |
| Memory | |
|---|---|
| Memory Size | 24GB |
| Interface | GDDR6 |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE, FCC |
| Product Description |
|---|
The NVIDIA Tesla L4 GPU is built for AI inference and accelerated computing where power efficiency and performance are critical. It's often found in edge servers, data centers, and embedded systems that need to run complex AI models in real time without excessive power draw. Designed for developers and organizations working on machine learning, computer vision, and natural language processing, this GPU provides a balanced mix of compute power and energy efficiency. Key Features
This GPU is commonly deployed in edge computing environments, data centers focused on AI services, and embedded platforms requiring high-speed inferencing. Its efficiency helps keep operational costs down while maintaining the necessary processing speed for demanding AI tasks. Organizations benefit from the Tesla L4 by integrating it into systems where space and power are limited but AI performance cannot be compromised. |
| Use Cases |
|---|
The NVIDIA Tesla L4 is optimized for AI inference workloads in environments where balancing power efficiency and computational performance is critical. It is particularly beneficial for organizations deploying edge servers, AI accelerators in compact data centers, or hybrid cloud infrastructures requiring scalable inference capabilities. How It's Used:
By delivering efficient AI acceleration with low power consumption, the Tesla L4 enables organizations to scale inference tasks without significant infrastructure modifications. Its compact design and PCIe Gen4 interface ensure compatibility and performance in diverse deployment scenarios, supporting operational efficiency across distributed computing environments. |