NVIDIA AI L40S GPU

Description

NVIDIA L40S GPU, a data center and workstation-focused GPU based on the Ada Lovelace architecture, designed for AI, rendering, and virtualization workloads:

* NVIDIA L40S Key Specifications
Feature            Specification                                                                 |
|————————-|———————————————————————————-|
Architecture        | Ada Lovelace (TSMC 4N process)                                                  |
CUDA Cores          | 18,176                                                                          |
Tensor Cores        | 4th-gen (568 cores, supports FP8/FP16/TF32/INT8)                                |
RT Cores           | 3rd-gen (142 cores, for ray tracing acceleration)                               |
Base Clock         | ~1.5 GHz                                                                        |
Boost Clock        | ~2.5 GHz (typical workload-dependent)                                           |
Memory             48GB GDDR6 ECC (384-bit bus)                                                |
Memory Bandwidth   864 GB/s                                                                    |
FP32 Performance   | ~91 TFLOPS (peak)                                                               |
TF32 (AI) Perf.    | ~366 TFLOPS (with sparsity)                                                     |
PCIe Interface     Gen4 x16 (64 GB/s bidirectional)                                            |
TDP                350W (active cooling required)                                              |
Form Factor        Dual-slot, full-height PCIe card (with blower-style cooler)                 |
NVLink Support     | ❌ No (PCIe-only for multi-GPU)                                                 |
Display Outputs    | 4x DisplayPort 1.4a (for workstation use)                                       |

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* Key Features & Use Cases
1. AI & Machine Learning
– Optimized for inference and mid-scale training (e.g., Llama 2-13B, Stable Diffusion).
– Supports FP8 precision (2x faster than FP16 for AI workloads).

2. Professional Visualization
– RTX-driven rendering (Omniverse, Blender, Maya).
– 48GB VRAM handles large 3D models/8K textures.

3. Virtualization & Cloud
– NVIDIA vGPU support (for shared GPU workloads in VMs).
– Used in cloud instances (AWS G5, Azure NVv5).

4. Media Encoding
– Dual NVENC (8th-gen) + NVDEC engines:
– AV1 encode/decode, 8K HDR streaming.

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* L40S vs. Competing GPUs
GPU          L40S       H100 PCIe RTX 6000 Ada |
|——————|—————|—————|——————|
Architecture | Ada Lovelace  | Hopper        | Ada Lovelace     |
Memory       | 48GB GDDR6    | 80GB HBM3     | 48GB GDDR6       |
TF32 Perf.   | 366 TFLOPS    | 756 TFLOPS    | 330 TFLOPS       |
TDP          | 350W          | 350W          | 300W             |
Use Case     | AI/rendering  | HPC/AI        | Pro Viz          |

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* When to Choose the L40S?
– For AI inference where H100 is overkill.
– For rendering/virtualization needing ECC memory.
– As a cost-effective alternative to A100/H100 in some workloads.