NVIDIA H100 80GB HBM3 vs NVIDIA RTX PRO 4000 Blackwell, AI & Machine Learning Comparison
NVIDIA H100 80GB HBM3 wins 12 of 12 benchmarks, averaging 261.3% 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 H100 80GB HBM3 leads by 464% (17.47 vs 3.1 frames/s); the closest fight is Qwen3 4B (73% apart); VRAM decides part of this one: NVIDIA H100 80GB HBM3 runs 156 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 H100 80GB HBM3 | NVIDIA RTX PRO 4000 Blackwell | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 310.26 | 179.58 | +73% |
| Llama 3.1 8B tok/s | 261.83 | 112.36 | +133% |
| Qwen2.5-Coder 14B tok/s | 144.84 | 60.62 | +139% |
| Qwen3 32B tok/s | 74.07 | 27.8 | +166% |
| Llama 3.3 70B tok/s | 41 | 0 | n/a |
| Stable Diffusion XL images/min | 34.58 | 8.56 | +304% |
| Z-Image Turbo images/min | 22.125 | 4.425 | +400% |
| FLUX.1 dev images/min | 9.064 | 0 | n/a |
| FLUX.1 Kontext dev images/min | 4.264 | 0 | n/a |
| Qwen-Image-Edit images/min | 3.68 | 0 | n/a |
| LTX-Video (distilled) frames/s | 17.47 | 3.1 | +464% |
| Wan 2.2 5B (720p) frames/s | 1.33 | 0.26 | +412% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA H100 80GB HBM3 is faster on 4 of 4; NVIDIA RTX PRO 4000 Blackwell on 0.
| Workflow | NVIDIA H100 80GB HBM3 | NVIDIA RTX PRO 4000 Blackwell | Difference |
|---|---|---|---|
| 24-frame storyboard | 1.8 min | 6.4 min | NVIDIA H100 80GB HBM3 3.53x faster |
| 60-second AI short film | 2.5 min | 10.2 min | NVIDIA H100 80GB HBM3 4.12x faster |
| Full codebase review | 6.9 min | 16.5 min | NVIDIA H100 80GB HBM3 2.39x faster |
| 10 short social clips | 8 min | 34.2 min | NVIDIA H100 80GB HBM3 4.29x faster |
Specifications compared
| NVIDIA H100 80GB HBM3 | NVIDIA RTX PRO 4000 Blackwell | |
|---|---|---|
| VRAM | 80GB | 24GB |
| Architecture | Hopper | Blackwell |
| Memory bandwidth | 3350 GB/s | 672 GB/s |
| Boost clock | 1,980 MHz | 2,617 MHz |
| TDP | 700 W | 140 W |
| Launch MSRP | $30,000 | $1,500 |
| Release | 2022-09-20 | 2025-08-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA H100 80GB HBM3 or NVIDIA RTX PRO 4000 Blackwell?
- NVIDIA H100 80GB HBM3 performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 261.3% advantage.
- What are the main hardware differences between NVIDIA H100 80GB HBM3 and NVIDIA RTX PRO 4000 Blackwell?
- NVIDIA H100 80GB HBM3 has 80GB VRAM and a 700W TDP, while NVIDIA RTX PRO 4000 Blackwell has 24GB VRAM and a 140W TDP.
- Does VRAM matter more than speed between NVIDIA H100 80GB HBM3 and NVIDIA RTX PRO 4000 Blackwell?
- For AI, yes, NVIDIA H100 80GB HBM3 fits 2 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 H100 80GB HBM3 and NVIDIA RTX PRO 4000 Blackwell?
- LTX-Video (distilled): NVIDIA H100 80GB HBM3 leads by roughly 464% (17.47 vs 3.1 frames/s) in our testing.
NVIDIA H100 80GB HBM3 full review · NVIDIA RTX PRO 4000 Blackwell full review · All AI & Machine Learning rankings