NVIDIA A10G vs NVIDIA RTX A4500, AI & Machine Learning Comparison
NVIDIA RTX A4500 wins 5 of 10 benchmarks, averaging 12.8% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Wan 2.2 5B (720p), where NVIDIA RTX A4500 leads by 17% (0.18 vs 0.21 frames/s); the closest fight is Stable Diffusion XL (2% apart); VRAM decides part of this one: NVIDIA RTX A4500 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 | NVIDIA A10G | NVIDIA RTX A4500 | Difference |
|---|---|---|---|
| Qwen3-4B tok/s | 129.87 | 148.87 | -13% |
| Llama-3.1-8B tok/s | 86.62 | 100.2 | -14% |
| Qwen2.5-Coder-14B tok/s | 47.07 | 54.29 | -13% |
| Qwen3-32B tok/s | 22.04 | 0 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 6.38 | 6.5 | -2% |
| 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 | 0.18 | 0.21 | -14% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A10G is faster on 0 of 1; NVIDIA RTX A4500 on 1.
| Workflow | NVIDIA A10G | NVIDIA RTX A4500 | Difference |
|---|---|---|---|
| Full codebase review | 21.3 min | 18.4 min | NVIDIA RTX A4500 1.16x faster |
Specifications compared
| NVIDIA A10G | NVIDIA RTX A4500 | |
|---|---|---|
| VRAM | 24GB | 20GB |
| Architecture | Ampere | Ampere (workstation variant) |
| Memory bandwidth | 600 GB/s | 640 GB/s |
| Boost clock | 1,710 MHz | 1,575 MHz |
| TDP | 150 W | 200 W |
| Launch MSRP | $2,800 | $1,199 |
| Release | 2021-11-01 | 2021-11-23 |
FAQ
- Which is better for ai & machine learning: NVIDIA A10G or NVIDIA RTX A4500?
- NVIDIA RTX A4500 performs better for ai & machine learning, winning 5 of 10 benchmarks in our suite with an average 12.8% advantage.
- What are the main hardware differences between NVIDIA A10G and NVIDIA RTX A4500?
- NVIDIA A10G has 24GB VRAM and a 150W TDP, while NVIDIA RTX A4500 has 20GB VRAM and a 200W TDP.
- Does VRAM matter more than speed between NVIDIA A10G and NVIDIA RTX A4500?
- For AI, yes, NVIDIA RTX A4500 fits 18 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 A4500?
- Wan 2.2 5B (720p): NVIDIA RTX A4500 leads by roughly 3% (0.18 vs 0.21 frames/s) in our testing.
NVIDIA A10G full review · NVIDIA RTX A4500 full review · All AI & Machine Learning rankings