Performance comparison: which is faster?
GeForce RTX 4070 (NVIDIA, 2023) and NVIDIA V100 SXM2 (NVIDIA, 2017) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: RTX 4070 is about 6.8% faster
For generative AI, the higher-VRAM V100 SXM2（32GB） has the advantage. For gaming, prioritize performance score and CPU compatibility; for AI, prioritize VRAM.
Relative performance score (higher is faster). Actual fps varies by resolution, game, and CPU configuration.
| Item | RTX 4070 | V100 SXM2 |
|---|---|---|
| Performance Score | 23,500 | 22,000 |
| VRAM | 12GB | 32GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | RTX 40 | Datacenter |
| Release Year | 2023 | 2017 |
| Compatible CPU Example | Core i9-10900K | Core i5-11600 |
These generative AI models can run on only one GPU because of the VRAM difference (Stable Diffusion, Flux, LLMs, and others).
— None (all models that run on V100 SXM2 also run here)
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | RTX 4070 |
| Run larger generative AI and LLM models | V100 SXM2 |
| Prioritize value and adequate performance | V100 SXM2 (the lower model is often sufficient) |
RTX 4070 is about 6.8% higher by score (RTX 4070: 23500 points / V100 SXM2: 22000 points). Actual fps also varies by resolution, game, and CPU, so price is a reasonable deciding factor when the gap is only a few percent.
RTX 4070 has 12GB of VRAM, while V100 SXM2 has 32GB; V100 SXM2 has more. If image generation or a local LLM is even a possibility, the higher-VRAM option provides more room.
Using our guideline, Core i9-10900K pairs well with RTX 4070 and Core i5-11600 with V100 SXM2 (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
