NVIDIA A100 80GB PCIe vs NVIDIA RTX PRO 4000 Blackwell, AI & Machine Learning Comparison
NVIDIA A100 80GB PCIe wins 12 of 12 benchmarks, averaging 84.1% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in LTX-Video (distilled), where NVIDIA A100 80GB PCIe leads by 175% (8.51 vs 3.1 frames/s); the closest fight is Qwen3 4B (10% apart); VRAM decides part of this one: NVIDIA A100 80GB PCIe runs 12 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 A100 80GB PCIe | NVIDIA RTX PRO 4000 Blackwell | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 198.27 | 179.58 | +10% |
| Llama 3.1 8B tok/s | 161.75 | 112.36 | +44% |
| Qwen2.5-Coder 14B tok/s | 88.36 | 60.62 | +46% |
| Qwen3 32B tok/s | 43.77 | 27.8 | +57% |
| Llama 3.3 70B tok/s | 22.89 | 0 | n/a |
| Stable Diffusion XL images/min | 16.8 | 8.56 | +96% |
| Z-Image Turbo images/min | 9.3 | 4.425 | +110% |
| FLUX.1 dev images/min | 3.964 | 0 | n/a |
| FLUX.1 Kontext dev images/min | 1.843 | 0 | n/a |
| Qwen-Image-Edit images/min | 1.54 | 0 | n/a |
| LTX-Video (distilled) frames/s | 8.51 | 3.1 | +175% |
| Wan 2.2 5B (720p) frames/s | 0.61 | 0.26 | +135% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A100 80GB PCIe is faster on 4 of 4; NVIDIA RTX PRO 4000 Blackwell on 0.
| Workflow | NVIDIA A100 80GB PCIe | NVIDIA RTX PRO 4000 Blackwell | Difference |
|---|---|---|---|
| 24-frame storyboard | 3.7 min | 6.4 min | NVIDIA A100 80GB PCIe 1.76x faster |
| 60-second AI short film | 4.6 min | 10.2 min | NVIDIA A100 80GB PCIe 2.25x faster |
| Full codebase review | 11.3 min | 16.5 min | NVIDIA A100 80GB PCIe 1.46x faster |
| 10 short social clips | 15.7 min | 34.2 min | NVIDIA A100 80GB PCIe 2.18x faster |
Specifications compared
| NVIDIA A100 80GB PCIe | NVIDIA RTX PRO 4000 Blackwell | |
|---|---|---|
| VRAM | 80GB | 24GB |
| Architecture | Ampere | Blackwell |
| Memory bandwidth | 1935 GB/s | 672 GB/s |
| Boost clock | 1,410 MHz | 2,617 MHz |
| TDP | 300 W | 140 W |
| Launch MSRP | $15,000 | $1,500 |
| Release | 2021-06-28 | 2025-08-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA A100 80GB PCIe or NVIDIA RTX PRO 4000 Blackwell?
- NVIDIA A100 80GB PCIe performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 84.1% advantage.
- What are the main hardware differences between NVIDIA A100 80GB PCIe and NVIDIA RTX PRO 4000 Blackwell?
- NVIDIA A100 80GB PCIe has 80GB VRAM and a 300W TDP, while NVIDIA RTX PRO 4000 Blackwell has 24GB VRAM and a 140W TDP.
- Does VRAM matter more than speed between NVIDIA A100 80GB PCIe and NVIDIA RTX PRO 4000 Blackwell?
- For AI, yes, NVIDIA A100 80GB PCIe fits 4 more of our 12 workloads than NVIDIA RTX PRO 4000 Blackwell. 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 A100 80GB PCIe and NVIDIA RTX PRO 4000 Blackwell?
- LTX-Video (distilled): NVIDIA A100 80GB PCIe leads by roughly 175% (8.51 vs 3.1 frames/s) in our testing.
NVIDIA A100 80GB PCIe full review · NVIDIA RTX PRO 4000 Blackwell full review · All AI & Machine Learning rankings