16 GB VRAM equivalent to 4080 Super in model compatibility. Strong for 7–14B models.
| VRAM | 16 GB |
| Memory Bandwidth | 717 GB/s |
| TDP | 320 W |
| Architecture | Ada Lovelace AD103 |
| Release Year | 2022 |
| MSRP at Launch | $1,199 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | ~105 tokens/sec |
All models below run comfortably in 16 GB VRAM with Q4_K_M quantization.
| Llama 3.1 Family | 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| Qwen 3 | 10 GB VRAM · Q4_K_M · ollama run qwen3:14b |
| Gemma 3 | 8 GB VRAM · Q4_K_M · ollama run gemma3:12b |
| Phi-4 Family | 9 GB VRAM · Q4_K_M · ollama run phi4 |
| Phi-4 Mini | 3 GB VRAM · Q4_K_M · ollama run phi4-mini |
| Mistral Family | 15 GB VRAM · Q4_K_M · ollama run mistral-small |
| DeepSeek R1 | 9 GB VRAM · Q4_K_M · ollama run deepseek-r1:14b |
| Qwen 2.5 Family | 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 has 16 GB VRAM and runs 16 GB VRAM equivalent to 4080 Super in model compatibility. Strong for 7–14B models.
The NVIDIA GeForce RTX 4080 runs Llama 3.1 8B at ~105 tokens/sec with Q4_K_M quantization.
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.
← All GPU Reviews | Check Your Hardware | Full Benchmarks | Can I Run It?