NVIDIA GeForce RTX 3090 vs NVIDIA H200, AI & Machine Learning Comparison
NVIDIA H200 wins 12 of 12 benchmarks, averaging 312.3% 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 H200 leads by 724% (2.17 vs 17.87 frames/s); the closest fight is Qwen3 4B (54% apart); VRAM decides part of this one: NVIDIA H200 runs 150 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 GeForce RTX 3090 | NVIDIA H200 | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 206.67 | 318.84 | -35% |
| Llama 3.1 8B tok/s | 144.9 | 268.31 | -46% |
| Qwen2.5-Coder 14B tok/s | 78.79 | 148.43 | -47% |
| Qwen3 32B tok/s | 37.95 | 76.58 | -50% |
| Llama 3.3 70B tok/s | 0 | 42.66 | n/a |
| Stable Diffusion XL images/min | 7.46 | 37.16 | -80% |
| Z-Image Turbo images/min | 3.825 | 23.175 | -83% |
| FLUX.1 dev images/min | 0 | 9.514 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 4.393 | n/a |
| Qwen-Image-Edit images/min | 0 | 3.76 | n/a |
| LTX-Video (distilled) frames/s | 2.17 | 17.87 | -88% |
| Wan 2.2 5B (720p) frames/s | 0.22 | 1.41 | -84% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 3090 is faster on 0 of 4; NVIDIA H200 on 4.
| Workflow | NVIDIA GeForce RTX 3090 | NVIDIA H200 | Difference | Cost per run |
|---|---|---|---|---|
| 24-frame storyboard | 8.3 min | 3.9 min | NVIDIA H200 2.12x faster | $0.010 vs $0.234 |
| Full codebase review | 12.7 min | 6.7 min | NVIDIA H200 1.88x faster | $0.015 vs $0.403 |
| 60-second AI short film | 15.2 min | 3.9 min | NVIDIA H200 3.89x faster | $0.017 vs $0.233 |
| 10 short social clips | 42.4 min | 10 min | NVIDIA H200 4.25x faster | $0.049 vs $0.598 |
Renting by the hour, NVIDIA GeForce RTX 3090 finishes 4 of 4 cheaper. The quicker card is not automatically the cheaper way to get the work done.
Cost to rent
| Card | Per hour |
|---|---|
| NVIDIA GeForce RTX 3090 | $0.069 |
| NVIDIA H200 | $3.590 |
NVIDIA GeForce RTX 3090 is 52.03x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA GeForce RTX 3090 | NVIDIA H200 | |
|---|---|---|
| VRAM | 24GB | 141GB |
| Architecture | Ampere (GA102) | Hopper |
| Memory bandwidth | 936.2 GB/s | 4800 GB/s |
| Boost clock | 1,695 MHz | 1,980 MHz |
| TDP | 350 W | 700 W |
| Launch MSRP | $1,499 | $31,000 |
| Release | 2020-09-24 | 2024-03-18 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 3090 or NVIDIA H200?
- NVIDIA H200 performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 312.3% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 3090 and NVIDIA H200?
- NVIDIA GeForce RTX 3090 has 24GB VRAM and a 350W TDP, while NVIDIA H200 has 141GB VRAM and a 700W TDP.
- Does VRAM matter more than speed between NVIDIA GeForce RTX 3090 and NVIDIA H200?
- For AI, yes, NVIDIA H200 fits 2 more of our 12 workloads than NVIDIA GeForce RTX 3090. 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 GeForce RTX 3090 and NVIDIA H200?
- LTX-Video (distilled): NVIDIA H200 leads by roughly 724% (2.17 vs 17.87 frames/s) in our testing.
NVIDIA GeForce RTX 3090 full review · NVIDIA H200 full review · All AI & Machine Learning rankings