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Product Overview |
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The Dell NVIDIA Tesla L4 is a specialized GPU designed for AI inference and data center workloads. It provides substantial memory and Tensor Core acceleration to handle complex tasks efficiently, fitting well within enterprise and cloud environments that prioritize performance and energy efficiency. |
General Information |
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| Brand | Dell |
| Part Number | 699-2G193-0200-203 |
Technical Information |
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| Chipset | Nvidia |
Memory |
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| Memory Size | 24GB |
| Interface | GDDR6 |
Miscellaneous |
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| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
Physical Characteristics |
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| Slot Width | Low-Profile,Single-Slot |
| Weight | 3.00 |
| Condition | Refurbished |
Product Description |
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The Dell NVIDIA Tesla L4 24GB Tensor Core PCIe Gen4 x16 GPU is designed to handle demanding AI workloads, including inference and machine learning applications. It’s commonly found in data centers and enterprise environments where efficient, high-throughput processing is critical. Built for professionals and organizations that require accelerated computing power, this GPU offers a balance between performance and energy efficiency, making it suitable for a wide range of AI-driven tasks. Key Features
This GPU is typically deployed in cloud services, AI research labs, and enterprise servers where fast and reliable processing is essential. Its ability to efficiently handle machine learning inference helps streamline operations and reduce processing time in real-world applications. |
Use Cases |
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The Dell NVIDIA Tesla L4 GPU is ideally implemented in enterprise-grade data centers and cloud environments requiring efficient AI inference and accelerated computing. It is well-suited for organizations focusing on deploying scalable machine learning models and handling complex data workloads within virtualized and containerized infrastructures. How It's Used:
This GPU's integration enhances operational efficiency by delivering rapid data processing and scalability in demanding IT environments. It enables enterprises to maintain high-performance computing while optimizing power consumption and space within rack deployments. |