NVIDIA GeForce RTX 3090 vs NVIDIA A10G, AI & Machine Learning Comparison
NVIDIA GeForce RTX 3090 wins 7 of 11 benchmarks, averaging 45.1% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Qwen3 32B, where NVIDIA GeForce RTX 3090 leads by 72% (37.95 vs 22.04 tok/s); the closest fight is Z-Image Turbo (11% apart); VRAM decides part of this one: NVIDIA GeForce RTX 3090 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 3090 | NVIDIA A10G | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 206.67 | 129.87 | +59% |
| Llama 3.1 8B tok/s | 144.9 | 86.62 | +67% |
| Qwen2.5-Coder 14B tok/s | 78.79 | 47.07 | +67% |
| Qwen3 32B tok/s | 37.95 | 22.04 | +72% |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 7.46 | 6.38 | +17% |
| Z-Image Turbo images/min | 3.825 | 3.45 | +11% |
| 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 | 0.22 | 0.18 | +22% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 3090 is faster on 3 of 3; NVIDIA A10G on 0.
| Workflow | NVIDIA GeForce RTX 3090 | NVIDIA A10G | Difference |
|---|---|---|---|
| 24-frame storyboard | 8.3 min | 9 min | NVIDIA GeForce RTX 3090 1.08x faster |
| Full codebase review | 12.7 min | 21.3 min | NVIDIA GeForce RTX 3090 1.68x faster |
| 10 short social clips | 42.4 min | 50.7 min | NVIDIA GeForce RTX 3090 1.19x faster |
Specifications compared
| NVIDIA GeForce RTX 3090 | NVIDIA A10G | |
|---|---|---|
| VRAM | 24GB | 24GB |
| Architecture | Ampere (GA102) | Ampere |
| Memory bandwidth | 936.2 GB/s | 600 GB/s |
| Boost clock | 1,695 MHz | 1,710 MHz |
| TDP | 350 W | 150 W |
| Launch MSRP | $1,499 | $2,800 |
| Release | 2020-09-24 | 2021-11-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 3090 or NVIDIA A10G?
- NVIDIA GeForce RTX 3090 performs better for ai & machine learning, winning 7 of 11 benchmarks in our suite with an average 45.1% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 3090 and NVIDIA A10G?
- NVIDIA GeForce RTX 3090 has 24GB VRAM and a 350W TDP, while NVIDIA A10G has 24GB VRAM and a 150W TDP.
- Does VRAM matter more than speed between NVIDIA GeForce RTX 3090 and NVIDIA A10G?
- For AI, yes, NVIDIA GeForce RTX 3090 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 3090 and NVIDIA A10G?
- Qwen3 32B: NVIDIA GeForce RTX 3090 leads by roughly 72% (37.95 vs 22.04 tok/s) in our testing.
NVIDIA GeForce RTX 3090 full review · NVIDIA A10G full review · All AI & Machine Learning rankings