NVIDIA A10G vs NVIDIA RTX A6000, AI & Machine Learning Comparison
NVIDIA RTX A6000 wins 9 of 9 benchmarks, averaging 48.5% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Stable Diffusion XL, where NVIDIA RTX A6000 leads by 57% (6.38 vs 10.02 images/min); the closest fight is Qwen3-4B (42% apart); VRAM decides part of this one: NVIDIA RTX A6000 runs 137 of our 12 AI workloads while the other card runs 9, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA A10G | NVIDIA RTX A6000 | Difference |
|---|---|---|---|
| Qwen3-4B tok/s | 129.87 | 184.34 | -30% |
| Llama-3.1-8B tok/s | 86.62 | 124.87 | -31% |
| Qwen2.5-Coder-14B tok/s | 47.07 | 68.51 | -31% |
| Qwen3-32B tok/s | 22.04 | 32.18 | -32% |
| Llama 3.3 70B tok/s | 0 | 15.73 | n/a |
| Stable Diffusion XL images/min | 6.38 | 10.02 | -36% |
| Z-Image Turbo images/min | 3.45 | 5.4 | -36% |
| FLUX.1 dev images/min | 0 | 2.164 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 1.05 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A10G is faster on 0 of 2; NVIDIA RTX A6000 on 2.
| Workflow | NVIDIA A10G | NVIDIA RTX A6000 | Difference |
|---|---|---|---|
| 24-frame storyboard | 9 min | 7.1 min | NVIDIA RTX A6000 1.27x faster |
| Full codebase review | 21.3 min | 14.6 min | NVIDIA RTX A6000 1.46x faster |
Specifications compared
| NVIDIA A10G | NVIDIA RTX A6000 | |
|---|---|---|
| VRAM | 24GB | 48GB |
| Architecture | Ampere | Ampere |
| Memory bandwidth | 600 GB/s | 768 GB/s |
| Boost clock | 1,710 MHz | 1,860 MHz |
| TDP | 150 W | 300 W |
| Launch MSRP | $2,800 | $4,650 |
| Release | 2021-11-01 | 2020-10-05 |
FAQ
- Which is better for ai & machine learning: NVIDIA A10G or NVIDIA RTX A6000?
- NVIDIA RTX A6000 performs better for ai & machine learning, winning 9 of 9 benchmarks in our suite with an average 48.5% advantage.
- What are the main hardware differences between NVIDIA A10G and NVIDIA RTX A6000?
- NVIDIA A10G has 24GB VRAM and a 150W TDP, while NVIDIA RTX A6000 has 48GB VRAM and a 300W TDP.
- Does VRAM matter more than speed between NVIDIA A10G and NVIDIA RTX A6000?
- For AI, yes, NVIDIA RTX A6000 fits 23 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 A6000?
- Stable Diffusion XL: NVIDIA RTX A6000 leads by roughly 57% (6.38 vs 10.02 images/min) in our testing.
NVIDIA A10G full review · NVIDIA RTX A6000 full review · All AI & Machine Learning rankings