Entry-level Blackwell GPU at $299. 8 GB VRAM is enough for any 7–8B model in Q4. 145W TDP makes it efficient for always-on AI use.
| VRAM | 8 GB |
| Memory Bandwidth | 448 GB/s |
| TDP | 145 W |
| Architecture | Blackwell GB206 |
| Release Year | 2025 |
| MSRP at Launch | $299 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | ~68 tokens/sec |
All models below run comfortably in 8 GB VRAM with Q4_K_M quantization.
| Llama 3.2 Family | Llama 3.2 11B Vision Instruct · 8 GB VRAM · Q4_K_M · ollama run llama3.2-vision:11b |
| Llama 3.1 Family | Llama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| Qwen 2.5 Family | Qwen 2.5 7B Instruct · 5 GB VRAM · Q4_K_M · ollama run qwen2.5:7b |
| Gemma 2 Family | Gemma 2 9B IT · 6 GB VRAM · Q4_K_M · ollama run gemma2 |
| Phi-4 Mini | Phi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · ollama run phi4-mini |
| SmolLM2 | SmolLM2 1.7B Instruct · 1 GB VRAM · Q4_K_M · ollama run smollm2:1.7b |
| DeepSeek R1 | DeepSeek R1 Distill Llama 8B · 6 GB VRAM · Q4_K_M · ollama run deepseek-r1:8b |
Install Ollama then run the recommended model for this GPU:
ollama run llama3.1:8b
Yes — the NVIDIA GeForce RTX 5060 has 8 GB VRAM and runs Entry-level Blackwell GPU at $299. 8 GB VRAM is enough for any 7–8B model in Q4. 145W TDP makes it efficient for always-
The NVIDIA GeForce RTX 5060 runs Llama 3.1 8B at ~68 tokens/sec with Q4_K_M quantization.
With 8 GB you can run: Llama 3.2 Family, Llama 3.1 Family, Qwen 2.5 Family, Gemma 2 Family, Phi-4 Mini. Use Ollama for the easiest setup: ollama run llama3.1:8b.
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