NVIDIA A10G vs NVIDIA RTX PRO 4000 Blackwell, AI & Machine Learning Comparison
NVIDIA RTX PRO 4000 Blackwell wins 7 of 11 benchmarks, averaging 32.8% 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 PRO 4000 Blackwell leads by 44% (0.18 vs 0.26 frames/s); the closest fight is Qwen3-32B (26% apart); VRAM decides part of this one: NVIDIA RTX PRO 4000 Blackwell 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 A10G | NVIDIA RTX PRO 4000 Blackwell | Difference |
|---|---|---|---|
| Qwen3-4B tok/s | 129.87 | 179.58 | -28% |
| Llama-3.1-8B tok/s | 86.62 | 112.36 | -23% |
| Qwen2.5-Coder-14B tok/s | 47.07 | 60.62 | -22% |
| Qwen3-32B tok/s | 22.04 | 27.8 | -21% |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 6.38 | 8.56 | -25% |
| Z-Image Turbo images/min | 3.45 | 4.425 | -22% |
| 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 | 0.26 | -31% |
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 PRO 4000 Blackwell on 3.
| Workflow | NVIDIA A10G | NVIDIA RTX PRO 4000 Blackwell | Difference |
|---|---|---|---|
| 24-frame storyboard | 9 min | 6.4 min | NVIDIA RTX PRO 4000 Blackwell 1.40x faster |
| Full codebase review | 21.3 min | 16.5 min | NVIDIA RTX PRO 4000 Blackwell 1.29x faster |
| 10 short social clips | 50.7 min | 34.2 min | NVIDIA RTX PRO 4000 Blackwell 1.48x faster |
Specifications compared
| NVIDIA A10G | NVIDIA RTX PRO 4000 Blackwell | |
|---|---|---|
| VRAM | 24GB | 24GB |
| Architecture | Ampere | Blackwell |
| Memory bandwidth | 600 GB/s | 672 GB/s |
| Boost clock | 1,710 MHz | 2,617 MHz |
| TDP | 150 W | 140 W |
| Launch MSRP | $2,800 | $1,500 |
| Release | 2021-11-01 | 2025-08-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA A10G or NVIDIA RTX PRO 4000 Blackwell?
- NVIDIA RTX PRO 4000 Blackwell performs better for ai & machine learning, winning 7 of 11 benchmarks in our suite with an average 32.8% advantage.
- What are the main hardware differences between NVIDIA A10G and NVIDIA RTX PRO 4000 Blackwell?
- NVIDIA A10G has 24GB VRAM and a 150W TDP, while NVIDIA RTX PRO 4000 Blackwell has 24GB VRAM and a 140W TDP.
- Does VRAM matter more than speed between NVIDIA A10G and NVIDIA RTX PRO 4000 Blackwell?
- For AI, yes, NVIDIA RTX PRO 4000 Blackwell 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 A10G and NVIDIA RTX PRO 4000 Blackwell?
- Wan 2.2 5B (720p): NVIDIA RTX PRO 4000 Blackwell leads by roughly 8% (0.18 vs 0.26 frames/s) in our testing.
NVIDIA A10G full review · NVIDIA RTX PRO 4000 Blackwell full review · All AI & Machine Learning rankings