NVIDIA A10G vs NVIDIA RTX 4000 (Ada Generation), AI & Machine Learning Comparison
NVIDIA A10G wins 4 of 10 benchmarks, averaging 14.9% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Llama-3.1-8B, where NVIDIA A10G leads by 30% (86.62 vs 66.59 tok/s); the closest fight is Wan 2.2 5B (720p) (0% apart); VRAM decides part of this one: NVIDIA RTX 4000 (Ada Generation) runs 137 of our 12 AI workloads while the other card runs 6, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA A10G | NVIDIA RTX 4000 (Ada Generation) | Difference |
|---|---|---|---|
| Qwen3-4B tok/s | 129.87 | 110.18 | +18% |
| Llama-3.1-8B tok/s | 86.62 | 66.59 | +30% |
| Qwen2.5-Coder-14B tok/s | 47.07 | 36.34 | +30% |
| 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 | 6.56 | -3% |
| 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 | 0.18 | 0% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A10G is faster on 1 of 1; NVIDIA RTX 4000 (Ada Generation) on 0.
| Workflow | NVIDIA A10G | NVIDIA RTX 4000 (Ada Generation) | Difference |
|---|---|---|---|
| Full codebase review | 21.3 min | 27.5 min | NVIDIA A10G 1.29x faster |
Specifications compared
| NVIDIA A10G | NVIDIA RTX 4000 (Ada Generation) | |
|---|---|---|
| VRAM | 24GB | 20GB |
| Architecture | Ampere | Ada Lovelace |
| Memory bandwidth | 600 GB/s | 360 GB/s |
| Boost clock | 1,710 MHz | 2,175 MHz |
| TDP | 150 W | 130 W |
| Launch MSRP | $2,800 | $1,250 |
| Release | 2021-11-01 | 2023-08-09 |
FAQ
- Which is better for ai & machine learning: NVIDIA A10G or NVIDIA RTX 4000 (Ada Generation)?
- NVIDIA A10G performs better for ai & machine learning, winning 4 of 10 benchmarks in our suite with an average 14.9% advantage.
- What are the main hardware differences between NVIDIA A10G and NVIDIA RTX 4000 (Ada Generation)?
- NVIDIA A10G has 24GB VRAM and a 150W TDP, while NVIDIA RTX 4000 (Ada Generation) has 20GB VRAM and a 130W TDP.
- Does VRAM matter more than speed between NVIDIA A10G and NVIDIA RTX 4000 (Ada Generation)?
- For AI, yes, NVIDIA RTX 4000 (Ada Generation) fits 18 more of our 12 workloads than NVIDIA A10G. 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 NVIDIA A10G and NVIDIA RTX 4000 (Ada Generation)?
- Llama-3.1-8B: NVIDIA A10G leads by roughly 30% (86.62 vs 66.59 tok/s) in our testing.
NVIDIA A10G full review · NVIDIA RTX 4000 (Ada Generation) full review · All AI & Machine Learning rankings