Written by Jakub Rusinowski · Last updated September 19, 2026
12 GB at 912 GB/s — unusually high bandwidth for the capacity, which suits models that fit in 12 GB and are bandwidth-bound. Used-market only.
| VRAM | 12 GB |
| Memory Bandwidth | 912 GB/s |
| TDP | 350 W |
| Architecture | Ampere GA102 |
| Release Year | 2021 |
| MSRP at Launch | $1,199 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 59–112 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | Does not fit — needs ~44 GB of 12 GB usable |
or compare on Vast.ai from $0.35/hr (typical low · varies)
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
All models below run comfortably in 12 GB VRAM with Q4_K_M quantization.
| StarCoder 2 | StarCoder 2 15B · 10 GB VRAM · Q4_K_M · ollama run starcoder2:15b |
| Qwen 3 | Qwen 3 14B · 10 GB VRAM · Q4_K_M · ollama run qwen3:14b |
| DeepSeek R1 | DeepSeek R1 Distill Qwen 14B · 9 GB VRAM · Q4_K_M · ollama run deepseek-r1:14b |
| Phi-4 Family | Phi-4 (14B) · 9 GB VRAM · Q4_K_M · ollama run phi4 |
| Qwen 2.5 Family | Qwen 2.5 14B Instruct · 9 GB VRAM · Q4_K_M · ollama run qwen2.5:14b |
| Cogito v1 | Cogito v1 14B · 9 GB VRAM · Q4_K_M · ollama run cogito:14b |
| Ministral 3 | Ministral 3 14B · 9 GB VRAM · Q4_K_M · ollama run ministral-3:14b |
| OLMo 2 | OLMo 2 13B Instruct · 9 GB VRAM · Q4_K_M · ollama run olmo2:13b |
36 more families also fit 12 GB — browse the full model library.
Yes — the NVIDIA GeForce RTX 3080 Ti has 12 GB VRAM and runs 12 GB at 912 GB/s — unusually high bandwidth for the capacity, which suits models that fit in 12 GB and are bandwidth-bo
The NVIDIA GeForce RTX 3080 Ti is estimated to run Llama 3.1 8B at 59–112 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 12 GB usable. These are modelled estimates, not measurements — see /en/methodology.
With 12 GB you can run: StarCoder 2, Qwen 3, DeepSeek R1, Phi-4 Family, Qwen 2.5 Family. Use Ollama for the easiest setup: ollama run llama3.1:8b.
← All GPU Reviews | All Hardware | Check Your Hardware | Full Benchmarks | Can I Run It?