Performance comparison: which is faster?
NVIDIA RTX 6000 Ada (NVIDIA, 2023) and GeForce RTX 4080 SUPER (NVIDIA, 2024) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: RTX 6000 Ada is about 18.3% faster
For generative AI, the higher-VRAM RTX 6000 Ada（48GB） 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 6000 Ada | RTX 4080 SUPER |
|---|---|---|
| Performance Score | 42,000 | 35,500 |
| VRAM | 48GB | 16GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | Workstation | RTX 40 |
| Release Year | 2023 | 2024 |
| 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 RTX 6000 Ada also run here)
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | RTX 6000 Ada |
| Run larger generative AI and LLM models | RTX 6000 Ada |
| Prioritize value and adequate performance | RTX 4080 SUPER (the lower model is often sufficient) |
RTX 6000 Ada is about 18.3% higher by score (RTX 6000 Ada: 42000 points / RTX 4080 SUPER: 35500 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 6000 Ada has 48GB of VRAM, while RTX 4080 SUPER has 16GB; RTX 6000 Ada 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 6000 Ada and Ryzen 9 9950X3D with RTX 4080 SUPER (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
