NVIDIA A10G vs NVIDIA RTX 5000 Ada Generation, AI & Machine Learning Comparison
NVIDIA RTX 5000 Ada Generation wins 9 of 11 benchmarks, averaging 48.2% 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 5000 Ada Generation leads by 100% (6.38 vs 12.74 images/min); the closest fight is Qwen3-32B (17% apart); VRAM decides part of this one: NVIDIA RTX 5000 Ada Generation runs 137 of our 12 AI workloads while the other card runs 10, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA A10G | NVIDIA RTX 5000 Ada Generation | Difference |
|---|---|---|---|
| Qwen3-4B tok/s | 129.87 | 170.72 | -24% |
| Llama-3.1-8B tok/s | 86.62 | 103.18 | -16% |
| Qwen2.5-Coder-14B tok/s | 47.07 | 56.66 | -17% |
| Qwen3-32B tok/s | 22.04 | 25.88 | -15% |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 6.38 | 12.74 | -50% |
| Z-Image Turbo images/min | 3.45 | 5.925 | -42% |
| FLUX.1 dev images/min | 0 | 1.286 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 0.793 | n/a |
| Qwen-Image-Edit images/min | 0 | 0 | n/a |
| Wan 2.2 5B (720p) frames/s | 0.18 | 0.32 | -44% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A10G is faster on 0 of 3; NVIDIA RTX 5000 Ada Generation on 3.
| Workflow | NVIDIA A10G | NVIDIA RTX 5000 Ada Generation | Difference |
|---|---|---|---|
| 24-frame storyboard | 9 min | 5.1 min | NVIDIA RTX 5000 Ada Generation 1.74x faster |
| Full codebase review | 21.3 min | 17.6 min | NVIDIA RTX 5000 Ada Generation 1.21x faster |
| 10 short social clips | 50.7 min | 27.9 min | NVIDIA RTX 5000 Ada Generation 1.82x faster |
Specifications compared
| NVIDIA A10G | NVIDIA RTX 5000 Ada Generation | |
|---|---|---|
| VRAM | 24GB | 32GB |
| Architecture | Ampere | Ada Lovelace |
| Memory bandwidth | 600 GB/s | 576 GB/s |
| Boost clock | 1,710 MHz | 2,550 MHz |
| TDP | 150 W | 250 W |
| Launch MSRP | $2,800 | $4,000 |
| Release | 2021-11-01 | 2023-08-09 |
FAQ
- Which is better for ai & machine learning: NVIDIA A10G or NVIDIA RTX 5000 Ada Generation?
- NVIDIA RTX 5000 Ada Generation performs better for ai & machine learning, winning 9 of 11 benchmarks in our suite with an average 48.2% advantage.
- What are the main hardware differences between NVIDIA A10G and NVIDIA RTX 5000 Ada Generation?
- NVIDIA A10G has 24GB VRAM and a 150W TDP, while NVIDIA RTX 5000 Ada Generation has 32GB VRAM and a 250W TDP.
- Does VRAM matter more than speed between NVIDIA A10G and NVIDIA RTX 5000 Ada Generation?
- For AI, yes, NVIDIA RTX 5000 Ada Generation fits 21 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 5000 Ada Generation?
- Stable Diffusion XL: NVIDIA RTX 5000 Ada Generation leads by roughly 100% (6.38 vs 12.74 images/min) in our testing.
NVIDIA A10G full review · NVIDIA RTX 5000 Ada Generation full review · All AI & Machine Learning rankings