作者： Jakub Rusinowski · 最后更新： 2026年7月12日
优秀的中高端显卡。16 GB VRAM可流畅运行所有13–14B模型。8B模型达132 t/s。对大多数用户而言性价比优于5090。
| VRAM | 16 GB |
| Memory Bandwidth | 960 GB/s |
| TDP | 360 W |
| Architecture | Blackwell GB203 |
| Release Year | 2025 |
| MSRP at Launch | $999 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 74–153 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | Does not fit — needs ~44 GB of 16 GB usable |
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All models below run comfortably in 16 GB VRAM with Q4_K_M quantization.
| Llama 3.1 Family | Llama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| Llama 3.2 Family | Llama 3.2 11B Vision Instruct · 7 GB VRAM · Q4_K_M · llama-3-2 |
| Qwen 3 | Qwen 3 14B · 10 GB VRAM · Q4_K_M · ollama run qwen3:14b |
| Qwen 3.5 | Qwen 3.5 9B · 6 GB VRAM · Q4_K_M · ollama run qwen3.5:9b |
| Gemma 3 | Gemma 3 12B Instruct · 8 GB VRAM · Q4_K_M · ollama run gemma3:12b |
| Gemma 4 | Gemma 4 12B (Unified) · 8 GB VRAM · Q4_K_M · ollama run gemma4:12b |
| IBM Granite 4.1 | Granite 4.1 8B · 6 GB VRAM · Q4_K_M · ollama run granite4.1:8b |
| Phi-4 Family | Phi-4 (14B) · 9 GB VRAM · Q4_K_M · ollama run phi4 |
Install Ollama then run the recommended model for this GPU:
ollama run qwen3:14b
Yes — the NVIDIA GeForce RTX 5080 has 16 GB VRAM and runs 优秀的中高端显卡。16 GB VRAM可流畅运行所有13–14B模型。8B模型达132 t/s。对大多数用户而言性价比优于5090。
The NVIDIA GeForce RTX 5080 is estimated to run Llama 3.1 8B at 74–153 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 16 GB usable. These are modelled estimates, not measurements — see /en/methodology.
With 16 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 3, Qwen 3.5, Gemma 3. Use Ollama for the easiest setup: ollama run qwen3:14b.
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