

NVIDIA A10G wins 6 of 8 benchmarks, averaging 112.6% faster.
NVIDIA Quadro RTX 8000's numbers are anchored estimates calibrated against our measured cards, pending first-party measurement. Treat small gaps as ties.
The gap is widest in Z-Image Turbo, where NVIDIA A10G leads by 667% (3.45 vs 0.45 images/min); the closest fight is Qwen3-32B (0% apart); VRAM decides part of this one: NVIDIA Quadro RTX 8000 runs 137 of our 12 AI workloads while the other card runs 7, models that don't fit score zero.
| Benchmark | NVIDIA A10G | NVIDIA Quadro RTX 8000 | Difference |
|---|---|---|---|
| Qwen3-4B tok/s | 129.87 | 127.01 | +2% |
| Llama-3.1-8B tok/s | 86.62 | 84.68 | +2% |
| Qwen2.5-Coder-14B tok/s | 47.07 | 46.74 | +1% |
| Qwen3-32B tok/s | 22.04 | 21.98 | 0% |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 6.38 | 6.18 | +3% |
| Z-Image Turbo images/min | 3.45 | 0.45 | +667% |
| FLUX.1 dev images/min | 0 | 0.171 | n/a |
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A10G is faster on 2 of 2; NVIDIA Quadro RTX 8000 on 0.
| Workflow | NVIDIA A10G | NVIDIA Quadro RTX 8000 | Difference |
|---|---|---|---|
| 24-frame storyboard | 9 min | 54.9 min | NVIDIA A10G 6.12x faster |
| Full codebase review | 21.3 min | 21.4 min | NVIDIA A10G 1.00x faster |
| NVIDIA A10G | NVIDIA Quadro RTX 8000 | |
|---|---|---|
| VRAM | 24GB | 48GB |
| Architecture | Ampere | Turing (TU102) |
| Memory bandwidth | 600 GB/s | 672 GB/s |
| Boost clock | 1,710 MHz | 1,770 MHz |
| TDP | 150 W | 260 W |
| Launch MSRP | $2,800 | $9,999 |
| Release | 2021-11-01 | 2018-08-27 |
NVIDIA A10G full review · NVIDIA Quadro RTX 8000 full review · All AI & Machine Learning rankings