Performance comparison: which is faster?
GeForce RTX 5090 (NVIDIA, 2025) and NVIDIA A100 SXM (NVIDIA, 2020) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: RTX 5090 is about 15.6% faster
For generative AI, the higher-VRAM A100 SXM（80GB） 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 5090 | A100 SXM |
|---|---|---|
| Performance Score | 52,000 | 45,000 |
| VRAM | 32GB | 80GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | RTX 50 | Datacenter |
| Release Year | 2025 | 2020 |
| Compatible CPU Example | Ryzen 9 9950X3D | Ryzen 9 9950X3D |
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 A100 SXM also run here)
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | RTX 5090 |
| Run larger generative AI and LLM models | A100 SXM |
| Prioritize value and adequate performance | A100 SXM (the lower model is often sufficient) |
RTX 5090 is about 15.6% higher by score (RTX 5090: 52000 points / A100 SXM: 45000 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 5090 has 32GB of VRAM, while A100 SXM has 80GB; A100 SXM has more. If image generation or a local LLM is even a possibility, the higher-VRAM option provides more room.
Using our guideline, Ryzen 9 9950X3D pairs well with RTX 5090 and Ryzen 9 9950X3D with A100 SXM (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
