
Subscribe To Our Newsletter!
Subscribe to the newsletter to stay up to date with the latest news and most useful
Newsletter
↑
Back to Top
| Product Overview |
|---|
The HPE NVIDIA L40S 48GB GPU provides powerful graphical and computational capabilities tailored for deep learning and AI workloads. It fits seamlessly into HPE systems, offering reliable performance in environments that demand high memory and processing power, such as research institutions and enterprise data centers. |
| General Information | |
|---|---|
| Brand | HP |
| Part Number | 900-2G133-0380-030 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCI Express 5.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.3, CUDA, Shader Model: 6.7, DirectCompute |
| Output Interface | None (data center GPU, no user display outputs) |
| Suggested PSU | 750W recommended system PSU |
| Power Connectors | 1 x 12VHPWR (16-pin) |
| Memory | |
|---|---|
| Memory Size | 48GB |
| Interface | GDDR6 |
| Memory Bus | 384-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Dual-slot |
| 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 |
|---|
This HPE NVIDIA L40S 48GB GPU is built for demanding deep learning and AI applications where large memory and robust performance are essential. Commonly used in data centers and research labs, it accelerates complex computations and graphics-intensive tasks. Often found in AI training environments, this GPU benefits data scientists, machine learning engineers, and researchers who need reliable, high-capacity hardware to speed up their workflows. Key Features
The GPU is typically deployed in AI research clusters and enterprise-grade servers where performance and stability are critical. It helps reduce training times, enabling faster experimentation and iteration. In practice, this graphics card supports a range of intensive workloads from autonomous driving simulations to medical imaging analysis, making it a versatile choice for professionals in advanced computing fields. |