GeForce RTX 4080 Super vs NVIDIA A10G, AI & Machine Learning Comparison
GeForce RTX 4080 Super wins 4 of 11 benchmarks, averaging 22.5% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Z-Image Turbo, where NVIDIA A10G leads by 360% (0.75 vs 3.45 images/min); the closest fight is Stable Diffusion XL (43% apart); VRAM decides part of this one: GeForce RTX 4080 Super 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 | GeForce RTX 4080 Super | NVIDIA A10G | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 197.53 | 129.87 | +52% |
| Llama 3.1 8B tok/s | 126.29 | 86.62 | +46% |
| Qwen2.5-Coder 14B tok/s | 70.55 | 47.07 | +50% |
| Qwen3 32B tok/s | 0 | 22.04 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 9.12 | 6.38 | +43% |
| Z-Image Turbo images/min | 0.75 | 3.45 | -78% |
| 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 | 0.18 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. GeForce RTX 4080 Super is faster on 1 of 1; NVIDIA A10G on 0.
| Workflow | GeForce RTX 4080 Super | NVIDIA A10G | Difference |
|---|---|---|---|
| Full codebase review | 14.2 min | 21.3 min | GeForce RTX 4080 Super 1.50x faster |
Specifications compared
| GeForce RTX 4080 Super | NVIDIA A10G | |
|---|---|---|
| VRAM | 16GB | 24GB |
| Architecture | Ada Lovelace | Ampere |
| Memory bandwidth | 736 GB/s | 600 GB/s |
| Boost clock | 2,505 MHz | 1,710 MHz |
| TDP | 320 W | 150 W |
| Launch MSRP | $999 | $2,800 |
| Release | 2024-01-31 | 2021-11-01 |
FAQ
- Which is better for ai & machine learning: GeForce RTX 4080 Super or NVIDIA A10G?
- GeForce RTX 4080 Super performs better for ai & machine learning, winning 4 of 11 benchmarks in our suite with an average 22.5% advantage.
- What are the main hardware differences between GeForce RTX 4080 Super and NVIDIA A10G?
- GeForce RTX 4080 Super has 16GB VRAM and a 320W TDP, while NVIDIA A10G has 24GB VRAM and a 150W TDP.
- Does VRAM matter more than speed between GeForce RTX 4080 Super and NVIDIA A10G?
- For AI, yes, GeForce RTX 4080 Super fits 17 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 GeForce RTX 4080 Super and NVIDIA A10G?
- Z-Image Turbo: NVIDIA A10G leads by roughly 270% (0.75 vs 3.45 images/min) in our testing.
GeForce RTX 4080 Super full review · NVIDIA A10G full review · All AI & Machine Learning rankings