

NVIDIA A10G wins 6 of 10 benchmarks, averaging 91% 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 A10G leads by 102% (47.07 vs 23.35 tok/s); the closest fight is Stable Diffusion XL (78% apart); VRAM decides part of this one: NVIDIA RTX 2000 Ada Generation runs 137 of our 12 AI workloads while the other card runs 5, models that don't fit score zero.
| Benchmark | NVIDIA A10G | NVIDIA RTX 2000 Ada Generation | Difference |
|---|---|---|---|
| Qwen3-4B tok/s | 129.87 | 70.88 | +83% |
| Llama-3.1-8B tok/s | 86.62 | 43.08 | +101% |
| Qwen2.5-Coder-14B tok/s | 47.07 | 23.35 | +102% |
| Qwen3-32B tok/s | 22.04 | 0 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 6.38 | 3.58 | +78% |
| FLUX.1 dev images/min | 0 | 0 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 0 | n/a |
| Qwen-Image-Edit images/min | 0 | 0 | n/a |
| Wan 2.2 5B (720p) frames/s | 0.18 | 0 | n/a |
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A10G is faster on 1 of 1; NVIDIA RTX 2000 Ada Generation on 0.
| Workflow | NVIDIA A10G | NVIDIA RTX 2000 Ada Generation | Difference |
|---|---|---|---|
| Full codebase review | 21.3 min | 42.8 min | NVIDIA A10G 2.01x faster |
| NVIDIA A10G | NVIDIA RTX 2000 Ada Generation | |
|---|---|---|
| VRAM | 24GB | 16GB |
| Architecture | Ampere | Ada Lovelace |
| Memory bandwidth | 600 GB/s | 224 GB/s |
| Boost clock | 1,710 MHz | 2,130 MHz |
| TDP | 150 W | 70 W |
| Launch MSRP | $2,800 | $625 |
| Release | 2021-11-01 | 2024-02-12 |
NVIDIA A10G full review · NVIDIA RTX 2000 Ada Generation full review · All AI & Machine Learning rankings