NVIDIA 900-2G133-0080-000 L40S
Brand: NVIDIA | Category: GPUs
SKU: NVI-900-2G133-0080-000 | Part #: 900-2G133-0080-000 | MPN: 900-2G133-0080-000
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About the NVIDIA 900-2G133-0080-000 L40S
The NVIDIA 900-2G133-0080-000 L40S from NVIDIA is enterprise-grade GPUs hardware built for data centers. It features 48GB capacity, DDR6 interface. L40S designed for professional AI, graphics, networking acceleration, or embedded edge computing workloads. Available in brand new condition. NVIDIA gpus products are trusted by enterprises and data centers worldwide. Available from Omnixon Global. Contact our sales team to request a quote.
Technical Specifications
| Brand | NVIDIA |
| Category | GPUs |
| SKU | NVI-900-2G133-0080-000 |
| Part Number | 900-2G133-0080-000 |
| Condition | New |
| Capacity | 48GB |
| Interface | DDR6 |
| Power Supply | 350W |
| GPU Support | NVIDIA L40S |
| AI Optimized | Yes |
| Headline specification | 48GB GDDR6 |
| Platform detail | PCIe accelerator, up to 350W |
| Use case | AI, graphics, simulation, analytics, edge, or network acceleration |
Frequently Asked Questions about NVIDIA 900-2G133-0080-000 L40S
What does the NVIDIA 900-2G133-0080-000 L40S do?
The NVIDIA 900-2G133-0080-000 L40S accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.
What are the headline specs of the NVIDIA 900-2G133-0080-000 L40S?
Key specifications for the NVIDIA 900-2G133-0080-000 L40S: capacity 48GB; interface DDR6; new condition; model L40S; headline specification 48GB GDDR6; platform detail PCIe accelerator, up to 350W; use case AI, graphics, simulation, analytics, edge, or network acceleration. Manufacturer part number 900-2G133-0080-000. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
Is the NVIDIA 900-2G133-0080-000 L40S compatible with my infrastructure?
The NVIDIA 900-2G133-0080-000 L40S requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.