GeForce RTX 4080 Super vs NVIDIA L40S, AI & Machine Learning Comparison
NVIDIA L40S wins 12 of 12 benchmarks, averaging 263.5% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Z-Image Turbo, where NVIDIA L40S leads by 1010% (0.75 vs 8.325 images/min); the closest fight is Qwen2.5-Coder 14B (6% apart); VRAM decides part of this one: GeForce RTX 4080 Super runs 152 of our 12 AI workloads while the other card runs 6, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | GeForce RTX 4080 Super | NVIDIA L40S | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 197.53 | 212.05 | -7% |
| Llama 3.1 8B tok/s | 126.29 | 135.51 | -7% |
| Qwen2.5-Coder 14B tok/s | 70.55 | 74.6 | -5% |
| Qwen3 32B tok/s | 0 | 34.44 | n/a |
| Llama 3.3 70B tok/s | 0 | 16.49 | n/a |
| Stable Diffusion XL images/min | 9.12 | 17.02 | -46% |
| Z-Image Turbo images/min | 0.75 | 8.325 | -91% |
| FLUX.1 dev images/min | 0 | 3.836 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 1.693 | n/a |
| Qwen-Image-Edit images/min | 0 | 1.06 | n/a |
| LTX-Video (distilled) frames/s | 1.42 | 8.01 | -82% |
| Wan 2.2 5B (720p) frames/s | 0 | 0.49 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. GeForce RTX 4080 Super is faster on 0 of 1; NVIDIA L40S on 1.
| Workflow | GeForce RTX 4080 Super | NVIDIA L40S | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 14.2 min | 13.5 min | NVIDIA L40S 1.05x faster | $0.066 vs $0.177 |
Renting by the hour, GeForce RTX 4080 Super finishes 1 of 1 cheaper. The quicker card is not automatically the cheaper way to get the work done.
Cost to rent
| Card | Per hour |
|---|---|
| GeForce RTX 4080 Super | $0.280 |
| NVIDIA L40S | $0.790 |
GeForce RTX 4080 Super is 2.82x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| GeForce RTX 4080 Super | NVIDIA L40S | |
|---|---|---|
| VRAM | 16GB | 48GB |
| Architecture | Ada Lovelace | Ada Lovelace |
| Memory bandwidth | 736 GB/s | 864 GB/s |
| Boost clock | 2,505 MHz | 2,520 MHz |
| TDP | 320 W | 350 W |
| Launch MSRP | $999 | $7,500 |
| Release | 2024-01-31 | 2023-08-08 |
FAQ
- Which is better for ai & machine learning: GeForce RTX 4080 Super or NVIDIA L40S?
- NVIDIA L40S performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 263.5% advantage.
- What are the main hardware differences between GeForce RTX 4080 Super and NVIDIA L40S?
- GeForce RTX 4080 Super has 16GB VRAM and a 320W TDP, while NVIDIA L40S has 48GB VRAM and a 350W TDP.
- Does VRAM matter more than speed between GeForce RTX 4080 Super and NVIDIA L40S?
- For AI, yes, GeForce RTX 4080 Super fits 2 more of our 12 workloads than NVIDIA L40S. A model that exceeds VRAM doesn't run slower, it doesn't run at all, so the card that fits the model wins that workload outright.
- Where is the biggest performance difference between GeForce RTX 4080 Super and NVIDIA L40S?
- Z-Image Turbo: NVIDIA L40S leads by roughly 758% (0.75 vs 8.325 images/min) in our testing.
GeForce RTX 4080 Super full review · NVIDIA L40S full review · All AI & Machine Learning rankings