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| Product Overview |
|---|
The NVIDIA L40 48GB GDDR6 PCI Express 4.0 Passive Accelerator Graphics Card delivers powerful processing for AI and data analytics tasks. It fits into high-performance computing setups where efficient, silent operation is critical, helping professionals handle complex workloads with reliability and speed. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | 900-2G133-0010-000 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Interface / PCIe Slot | PCIe 4.0 x16 |
| Bus Interface | PCI Express 4.0 x16 |
| Supported APIs | DirectX 11, DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.3, CUDA, Shader Model: 6.7, DirectCompute |
| Cooling Type | Passive |
| Memory | |
|---|---|
| Memory Size | 48GB |
| Interface | GDDR6 |
| Memory Bus | 48GB GDDR6 |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The NVIDIA L40 is a high-performance accelerator graphics card built for demanding computational tasks, including AI model training, data analytics, and visualization. It is often found in data centers and professional workstations where processing large volumes of data is routine. This card is designed for professionals and researchers who require reliable, fast processing power without the noise of active cooling. Commonly used in server racks or multi-GPU setups, it supports complex workloads in a compact form. Key Features
This accelerator is typically deployed in data centers, AI research facilities, and enterprise servers. Its quiet operation and high memory capacity make it a practical choice where space and noise are concerns. Users benefit from the card’s ability to manage heavy workloads efficiently without the need for additional cooling solutions. |
| Use Cases |
|---|
The 900-2G133-0010-000 NVIDIA L40 graphics card is utilized in environments requiring intensive computational acceleration. How It's Used:
These applications benefit from the card's large memory capacity and efficient passive cooling, facilitating powerful processing without additional noise or cooling infrastructure. |