NVIDIA H200 vs NVIDIA RTX PRO 5000 Blackwell, AI & Machine Learning Comparison
NVIDIA H200 wins 12 of 12 benchmarks, averaging 126.6% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Qwen-Image-Edit, where NVIDIA H200 leads by 370% (3.76 vs 0.8 images/min); the closest fight is Qwen3 4B (7% apart); VRAM decides part of this one: NVIDIA RTX PRO 5000 Blackwell runs 150 of our 12 AI workloads while the other card runs 12, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA H200 | NVIDIA RTX PRO 5000 Blackwell | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 318.84 | 298.78 | +7% |
| Llama 3.1 8B tok/s | 268.31 | 208.3 | +29% |
| Qwen2.5-Coder 14B tok/s | 148.43 | 114.63 | +29% |
| Qwen3 32B tok/s | 76.58 | 54.27 | +41% |
| Llama 3.3 70B tok/s | 42.66 | 26.29 | +62% |
| Stable Diffusion XL images/min | 37.16 | 17.46 | +113% |
| Z-Image Turbo images/min | 23.175 | 9.075 | +155% |
| FLUX.1 dev images/min | 9.514 | 4.2 | +127% |
| FLUX.1 Kontext dev images/min | 4.393 | 1.8 | +144% |
| Qwen-Image-Edit images/min | 3.76 | 0.8 | +370% |
| LTX-Video (distilled) frames/s | 17.87 | 4.58 | +290% |
| Wan 2.2 5B (720p) frames/s | 1.41 | 0.56 | +152% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA H200 is faster on 8 of 9; NVIDIA RTX PRO 5000 Blackwell on 1.
| Workflow | NVIDIA H200 | NVIDIA RTX PRO 5000 Blackwell | Difference |
|---|---|---|---|
| 6-panel comic page | 3.2 min | 5.6 min | NVIDIA H200 1.75x faster |
| 60-second AI short film | 3.9 min | 6.7 min | NVIDIA H200 1.73x faster |
| Character sheet, 12 poses | 3.9 min | 7.6 min | NVIDIA H200 1.94x faster |
| 24-frame storyboard | 3.9 min | 3.4 min | NVIDIA RTX PRO 5000 Blackwell 1.16x faster |
| Full codebase review | 6.7 min | 8.7 min | NVIDIA H200 1.29x faster |
| 10 short social clips | 10 min | 16.5 min | NVIDIA H200 1.65x faster |
| 20 long-form articles | 10.9 min | 17.8 min | NVIDIA H200 1.62x faster |
| 40-product photo shoot | 11.2 min | 25.1 min | NVIDIA H200 2.24x faster |
| 100-photo restoration batch | 23.3 min | 55.9 min | NVIDIA H200 2.39x faster |
Specifications compared
| NVIDIA H200 | NVIDIA RTX PRO 5000 Blackwell | |
|---|---|---|
| VRAM | 141GB | 48GB |
| Architecture | Hopper | Blackwell |
| Memory bandwidth | 4800 GB/s | 1344 GB/s |
| Boost clock | 1,980 MHz | 2,377 MHz |
| TDP | 700 W | 300 W |
| Launch MSRP | $31,000 | $4,500 |
| Release | 2024-03-18 | 2025-08-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA H200 or NVIDIA RTX PRO 5000 Blackwell?
- NVIDIA H200 performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 126.6% advantage.
- What are the main hardware differences between NVIDIA H200 and NVIDIA RTX PRO 5000 Blackwell?
- NVIDIA H200 has 141GB VRAM and a 700W TDP, while NVIDIA RTX PRO 5000 Blackwell has 48GB VRAM and a 300W TDP.
- Does VRAM matter more than speed between NVIDIA H200 and NVIDIA RTX PRO 5000 Blackwell?
- For AI, yes, NVIDIA RTX PRO 5000 Blackwell fits 2 more of our 12 workloads than NVIDIA H200. 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 H200 and NVIDIA RTX PRO 5000 Blackwell?
- Qwen-Image-Edit: NVIDIA H200 leads by roughly 296% (3.76 vs 0.8 images/min) in our testing.
NVIDIA H200 full review · NVIDIA RTX PRO 5000 Blackwell full review · All AI & Machine Learning rankings