NVIDIA GeForce RTX 4090 vs NVIDIA A10G, AI & Machine Learning Comparison
NVIDIA GeForce RTX 4090 wins 7 of 11 benchmarks, averaging 115.8% 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 GeForce RTX 4090 leads by 155% (16.28 vs 6.38 images/min); the closest fight is Llama 3.1 8B (98% apart); VRAM decides part of this one: NVIDIA GeForce RTX 4090 runs 137 of our 12 AI workloads while the other card runs 8, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA GeForce RTX 4090 | NVIDIA A10G | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 260.54 | 129.87 | +101% |
| Llama 3.1 8B tok/s | 171.29 | 86.62 | +98% |
| Qwen2.5-Coder 14B tok/s | 95.12 | 47.07 | +102% |
| Qwen3 32B tok/s | 44.28 | 22.04 | +101% |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 16.28 | 6.38 | +155% |
| Z-Image Turbo images/min | 7.425 | 3.45 | +115% |
| 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 | 0.43 | 0.18 | +139% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 4090 is faster on 3 of 3; NVIDIA A10G on 0.
| Workflow | NVIDIA GeForce RTX 4090 | NVIDIA A10G | Difference |
|---|---|---|---|
| 24-frame storyboard | 5 min | 9 min | NVIDIA GeForce RTX 4090 1.80x faster |
| Full codebase review | 10.5 min | 21.3 min | NVIDIA GeForce RTX 4090 2.03x faster |
| 10 short social clips | 22.7 min | 50.7 min | NVIDIA GeForce RTX 4090 2.23x faster |
Specifications compared
| NVIDIA GeForce RTX 4090 | NVIDIA A10G | |
|---|---|---|
| VRAM | 24GB | 24GB |
| Architecture | Ada Lovelace | Ampere |
| Memory bandwidth | 1008 GB/s | 600 GB/s |
| Boost clock | 2,520 MHz | 1,710 MHz |
| TDP | 450 W | 150 W |
| Launch MSRP | $1,599 | $2,800 |
| Release | 2022-10-12 | 2021-11-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 4090 or NVIDIA A10G?
- NVIDIA GeForce RTX 4090 performs better for ai & machine learning, winning 7 of 11 benchmarks in our suite with an average 115.8% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 4090 and NVIDIA A10G?
- NVIDIA GeForce RTX 4090 has 24GB VRAM and a 450W TDP, while NVIDIA A10G has 24GB VRAM and a 150W TDP.
- Does VRAM matter more than speed between NVIDIA GeForce RTX 4090 and NVIDIA A10G?
- For AI, yes, NVIDIA GeForce RTX 4090 fits 19 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 GeForce RTX 4090 and NVIDIA A10G?
- Stable Diffusion XL: NVIDIA GeForce RTX 4090 leads by roughly 155% (16.28 vs 6.38 images/min) in our testing.
NVIDIA GeForce RTX 4090 full review · NVIDIA A10G full review · All AI & Machine Learning rankings