10 GB VRAM limits to 8B models but with very fast bandwidth. The 12GB variant (RTX 3080 Ti / 3080 12GB) is significantly better for AI.
| VRAM | 10 GB |
| Memory Bandwidth | 760 GB/s |
| TDP | 320 W |
| Architecture | Ampere GA102 |
| Release Year | 2020 |
| MSRP at Launch | $699 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | ~72 tokens/sec |
All models below run comfortably in 10 GB VRAM with Q4_K_M quantization.
| Llama 3.1 Family | 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| Qwen 2.5 Family | 9 GB VRAM · Q4_K_M · ollama run qwen2.5:14b |
| Gemma 2 Family | 6 GB VRAM · Q4_K_M · ollama run gemma2 |
| Phi-4 Mini | 3 GB VRAM · Q4_K_M · ollama run phi4-mini |
| Mistral Family | 8 GB VRAM · Q4_K_M · ollama run mistral-nemo |
| SmolLM2 | 1 GB VRAM · Q4_K_M · ollama run smollm2:360m |
Install Ollama then run the recommended model for this GPU:
ollama run llama3.1:8b
Yes — the NVIDIA GeForce RTX 3080 (10GB) has 10 GB VRAM and runs 10 GB VRAM limits to 8B models but with very fast bandwidth. The 12GB variant (RTX 3080 Ti / 3080 12GB) is significantly
The NVIDIA GeForce RTX 3080 (10GB) runs Llama 3.1 8B at ~72 tokens/sec with Q4_K_M quantization.
With 10 GB you can run: Llama 3.1 Family, Qwen 2.5 Family, Gemma 2 Family, Phi-4 Mini, Mistral Family. Use Ollama for the easiest setup: ollama run llama3.1:8b.
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