NVIDIA GeForce RTX 4070 vs NVIDIA H100 80GB HBM3, AI & Machine Learning Comparison
NVIDIA H100 80GB HBM3 wins 11 of 11 benchmarks, averaging 157.9% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Qwen2.5-Coder 14B, where NVIDIA H100 80GB HBM3 leads by 185% (50.74 vs 144.84 tok/s); the closest fight is Qwen3 4B (107% apart); VRAM decides part of this one: NVIDIA H100 80GB HBM3 runs 156 of our 12 AI workloads while the other card runs 3, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA GeForce RTX 4070 | NVIDIA H100 80GB HBM3 | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 149.68 | 310.26 | -52% |
| Llama 3.1 8B tok/s | 93.16 | 261.83 | -64% |
| Qwen2.5-Coder 14B tok/s | 50.74 | 144.84 | -65% |
| Qwen3 32B tok/s | 0 | 74.07 | n/a |
| Llama 3.3 70B tok/s | 0 | 41 | n/a |
| Z-Image Turbo images/min | 0 | 22.125 | n/a |
| FLUX.1 dev images/min | 0 | 9.064 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 4.264 | n/a |
| Qwen-Image-Edit images/min | 0 | 3.68 | n/a |
| LTX-Video (distilled) frames/s | 0 | 17.47 | n/a |
| Wan 2.2 5B (720p) frames/s | 0 | 1.33 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 4070 is faster on 0 of 1; NVIDIA H100 80GB HBM3 on 1.
| Workflow | NVIDIA GeForce RTX 4070 | NVIDIA H100 80GB HBM3 | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 19.7 min | 6.9 min | NVIDIA H100 80GB HBM3 2.85x faster | $0.025 vs $0.154 |
Renting by the hour, NVIDIA GeForce RTX 4070 finishes 1 of 1 cheaper. The quicker card is not automatically the cheaper way to get the work done.
Cost to rent
| Card | Per hour |
|---|---|
| NVIDIA GeForce RTX 4070 | $0.076 |
| NVIDIA H100 80GB HBM3 | $1.336 |
NVIDIA GeForce RTX 4070 is 17.58x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA GeForce RTX 4070 | NVIDIA H100 80GB HBM3 | |
|---|---|---|
| VRAM | 12GB | 80GB |
| Architecture | Ada Lovelace | Hopper |
| Memory bandwidth | 504 GB/s | 3350 GB/s |
| Boost clock | 2,475 MHz | 1,980 MHz |
| TDP | 200 W | 700 W |
| Launch MSRP | $599 | $30,000 |
| Release | 2023-04-13 | 2022-09-20 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 4070 or NVIDIA H100 80GB HBM3?
- NVIDIA H100 80GB HBM3 performs better for ai & machine learning, winning 11 of 11 benchmarks in our suite with an average 157.9% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 4070 and NVIDIA H100 80GB HBM3?
- NVIDIA GeForce RTX 4070 has 12GB VRAM and a 200W TDP, while NVIDIA H100 80GB HBM3 has 80GB VRAM and a 700W TDP.
- Does VRAM matter more than speed between NVIDIA GeForce RTX 4070 and NVIDIA H100 80GB HBM3?
- For AI, yes, NVIDIA H100 80GB HBM3 fits 6 more of our 12 workloads than NVIDIA GeForce RTX 4070. 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 4070 and NVIDIA H100 80GB HBM3?
- Qwen2.5-Coder 14B: NVIDIA H100 80GB HBM3 leads by roughly 185% (50.74 vs 144.84 tok/s) in our testing.
NVIDIA GeForce RTX 4070 full review · NVIDIA H100 80GB HBM3 full review · All AI & Machine Learning rankings