

NVIDIA L40 wins 8 of 9 benchmarks, averaging 69.3% faster.
Both cards' numbers are anchored estimates calibrated against our measured cards, pending first-party measurement. Treat small gaps as ties.
The gap is widest in Stable Diffusion XL, where NVIDIA L40 leads by 89% (11.2 vs 5.94 images/min); the closest fight is Qwen2.5-Coder 14B (60% apart); VRAM decides part of this one: NVIDIA L40 runs 11 of our 12 AI workloads while the other card runs 4, models that don't fit score zero.
| Benchmark | NVIDIA L40 | NVIDIA Quadro RTX 6000 (Turing) | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 211.33 | 125.23 | +69% |
| Llama 3.1 8B tok/s | 135.12 | 84.21 | +60% |
| Qwen2.5-Coder 14B tok/s | 74.27 | 46.54 | +60% |
| Qwen3 32B tok/s | 34.08 | 0 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 11.2 | 5.94 | +89% |
| FLUX.1 dev images/min | 2.464 | 0 | n/a |
| FLUX.1 Kontext dev images/min | 1.114 | 0 | n/a |
| Qwen-Image-Edit images/min | 0.48 | 0 | n/a |
How long each card takes to finish a complete pipeline, not just one model. NVIDIA L40 is faster on 1 of 1; NVIDIA Quadro RTX 6000 (Turing) on 0.
| Workflow | NVIDIA L40 | NVIDIA Quadro RTX 6000 (Turing) | Difference |
|---|---|---|---|
| Full codebase review | 13.5 min | 21.5 min | NVIDIA L40 1.60x faster |
| NVIDIA L40 | NVIDIA Quadro RTX 6000 (Turing) | |
|---|---|---|
| VRAM | 48GB | 24GB |
| Architecture | Ada Lovelace | Turing (TU102) |
| Memory bandwidth | 864 GB/s | 672 GB/s |
| Boost clock | 2,490 MHz | 1,770 MHz |
| TDP | 300 W | 260 W |
| Launch MSRP | $7,000 | $6,300 |
| Release | 2022-10-13 | 2018-08-14 |
NVIDIA L40 full review · NVIDIA Quadro RTX 6000 (Turing) full review · All AI & Machine Learning rankings