NVIDIA L40S
The NVIDIA L40S is a general-purpose data center GPU based on the Ada Lovelace architecture, featuring 48GB GDDR6 ECC memory. It combines third-generation RT Cores and fourth-generation Tensor Cores to support generative AI fine-tuning and inference, graphics rendering, and video processing. It comes in a 350W dual-slot PCIe form factor.
Core Specifications
CompleteSpecifications
| architecture | Ada Lovelace |
| Shape | PCIe Dual-Slot Full-Height Full-Length |
| GPU VRAM | 48GB GDDR6 (ECC) |
| Memory Bandwidth | 864 GB/s |
| FP8 Tensor Core | 733 TFLOPS* (sparse) |
| FP16 Tensor Core | 366 TFLOPS* (sparse) |
| TF32 Tensor Core | 183 TFLOPS* (sparse) |
| FP32 | 91.1 TFLOPS |
| RT Core | 3rd Generation |
| Power Consumption | 350W |
| Location | Generative AI fine-tuning, inference, graphics rendering, and video processing |
* Sparse mode specifications: Dense performance is half that of sparse specs. Specs sourced from NVIDIA's official product page; actual configuration subject to factory settings.
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The NVIDIA L40S is a general-purpose data center GPU based on the Ada Lovelace architecture, featuring 48GB GDDR6 ECC memory. It combines third-generation RT Cores and fourth-generation Tensor Cores to support generative AI fine-tuning and inference, graphics rendering, and video processing. It comes in a 350W dual-slot PCIe form factor.
| architecture | Ada Lovelace |
| Shape | PCIe Dual-Slot Full-Height Full-Length |
| GPU VRAM | 48GB GDDR6 (ECC) |
| Memory Bandwidth | 864 GB/s |
| FP8 Tensor Core | 733 TFLOPS* (sparse) |
| FP16 Tensor Core | 366 TFLOPS* (sparse) |
| TF32 Tensor Core | 183 TFLOPS* (sparse) |
| FP32 | 91.1 TFLOPS |
| RT Core | 3rd Generation |
| Power Consumption | 350W |
| Location | Generative AI fine-tuning, inference, graphics rendering, and video processing |
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