16 GB VRAM at a strong price/performance ratio. Handles all models up to 14B with room for a large context window.
| 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) | ~110 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 Super has 16 GB VRAM and runs 16 GB VRAM at a strong price/performance ratio. Handles all models up to 14B with room for a large context window.
The NVIDIA GeForce RTX 4080 Super runs Llama 3.1 8B at ~110 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.
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