Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
16 GB VRAM przy świetnym stosunku ceny do wydajności. Obsługuje wszystkie modele do 14B z dużym oknem kontekstowym.
| VRAM | 16 GB |
| Memory Bandwidth | 736 GB/s |
| TDP | 320 W |
| Architecture | Ada Lovelace AD103 |
| Release Year | 2024 |
| MSRP at Launch | $999 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 68–130 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 |
| Qwen 3 | Qwen 3 14B · 10 GB VRAM · Q4_K_M · ollama run qwen3:14b |
| Gemma 3 | Gemma 3 12B Instruct · 8 GB VRAM · Q4_K_M · ollama run gemma3:12b |
| Phi-4 Family | Phi-4 (14B) · 9 GB VRAM · Q4_K_M · ollama run phi4 |
| Phi-4 Mini | Phi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · ollama run phi4-mini |
| Mistral Family | Mistral Small 3 (24B) · 15 GB VRAM · Q4_K_M · ollama run mistral-small |
| DeepSeek R1 | DeepSeek R1 Distill Qwen 14B · 9 GB VRAM · Q4_K_M · ollama run deepseek-r1:14b |
| Qwen 2.5 Family | Qwen 2.5 14B Instruct · 9 GB VRAM · Q4_K_M · ollama run qwen2.5:14b |
Install Ollama then run the recommended model for this GPU:
ollama run qwen3:14b
Yes — the NVIDIA GeForce RTX 4080 Super has 16 GB VRAM and runs 16 GB VRAM przy świetnym stosunku ceny do wydajności. Obsługuje wszystkie modele do 14B z dużym oknem kontekstowym.
The NVIDIA GeForce RTX 4080 Super is estimated to run Llama 3.1 8B at 68–130 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, Qwen 3, Gemma 3, Phi-4 Family, Phi-4 Mini. Use Ollama for the easiest setup: ollama run qwen3:14b.
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