

NVIDIA RTX 6000 Ada Generation wins 9 of 9 benchmarks, averaging 75.1% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
The gap is widest in Qwen2.5-Coder-14B, where NVIDIA RTX 6000 Ada Generation leads by 86% (47.07 vs 87.51 tok/s); the closest fight is Z-Image Turbo (48% apart); VRAM decides part of this one: NVIDIA RTX 6000 Ada Generation runs 137 of our 12 AI workloads while the other card runs 9, models that don't fit score zero.
| Benchmark | NVIDIA A10G | NVIDIA RTX 6000 Ada Generation | Difference |
|---|---|---|---|
| Qwen3-4B tok/s | 129.87 | 241.33 | -46% |
| Llama-3.1-8B tok/s | 86.62 | 157.89 | -45% |
| Qwen2.5-Coder-14B tok/s | 47.07 | 87.51 | -46% |
| Qwen3-32B tok/s | 22.04 | 39.87 | -45% |
| Llama 3.3 70B tok/s | 0 | 18.4 | n/a |
| Stable Diffusion XL images/min | 6.38 | 10.7 | -40% |
| Z-Image Turbo images/min | 3.45 | 5.1 | -32% |
| FLUX.1 dev images/min | 0 | 2.229 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 1.029 | n/a |
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A10G is faster on 0 of 2; NVIDIA RTX 6000 Ada Generation on 2.
| Workflow | NVIDIA A10G | NVIDIA RTX 6000 Ada Generation | Difference |
|---|---|---|---|
| 24-frame storyboard | 9 min | 5.5 min | NVIDIA RTX 6000 Ada Generation 1.64x faster |
| Full codebase review | 21.3 min | 11.4 min | NVIDIA RTX 6000 Ada Generation 1.86x faster |
| NVIDIA A10G | NVIDIA RTX 6000 Ada Generation | |
|---|---|---|
| VRAM | 24GB | 48GB |
| Architecture | Ampere | Ada Lovelace |
| Memory bandwidth | 600 GB/s | 960 GB/s |
| Boost clock | 1,710 MHz | 2,505 MHz |
| TDP | 150 W | 300 W |
| Launch MSRP | $2,800 | $6,799 |
| Release | 2021-11-01 | 2022-12-03 |
NVIDIA A10G full review · NVIDIA RTX 6000 Ada Generation full review · All AI & Machine Learning rankings