NVIDIA GeForce RTX 4060 Ti 8GB — Local LLM Performance & Compatibility
作者： Jakub Rusinowski · 最后更新： 2026年9月19日
8 GB版的4060 Ti。值得与16 GB版区分：两者同为288 GB/s，但16 GB能装下两倍大的模型——本地推理通常由容量而非速度决定选择。
Technical Specifications
| VRAM | 8 GB |
| Memory Bandwidth | 288 GB/s |
| TDP | 160 W |
| Architecture | Ada Lovelace AD106 |
| Release Year | 2023 |
| MSRP at Launch | $399 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 31–59 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | Does not fit — needs ~44 GB of 8 GB usable |
或在 Vast.ai 比较，低至 $0.35/小时 (typical low · varies)
作为亚马逊联盟成员，我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金，您无需额外付费。
LLMs Compatible with 8 GB VRAM
All models below run comfortably in 8 GB VRAM with Q4_K_M quantization.
| Bielik | Bielik PL 11B v3.0 Instruct · 7 GB VRAM · Q4_K_M · bielik |
| Llama 3.2 Family | Llama 3.2 11B Vision Instruct · 7 GB VRAM · Q4_K_M · llama-3-2 |
| Llama 3.2 Vision | Llama 3.2 Vision 11B · 7 GB VRAM · Q4_K_M · ollama run llama3.2-vision:11b |
| Falcon 3 | Falcon 3 10B Instruct · 7 GB VRAM · Q4_K_M · ollama run falcon3:10b |
| Gemma 2 Family | Gemma 2 9B IT · 6 GB VRAM · Q4_K_M · ollama run gemma2 |
| GLM-4.7 / GLM-Z1 | GLM-4 9B · 6 GB VRAM · Q4_K_M · ollama run glm4:9b |
| Qwen 3.5 | Qwen 3.5 9B · 6 GB VRAM · Q4_K_M · ollama run qwen3.5:9b |
| GLM-4.6V | GLM-4.6V-Flash 9B · 6 GB VRAM · Q4_K_M · glm-4-6v |
34 more families also fit 8 GB — browse the full model library.
Best Use Cases
- 8 GB entry AI
- small models
- low power
FAQ
Can the NVIDIA GeForce RTX 4060 Ti 8GB run local LLMs?
Yes — the NVIDIA GeForce RTX 4060 Ti 8GB has 8 GB VRAM and runs 8 GB版的4060 Ti。值得与16 GB版区分：两者同为288 GB/s，但16 GB能装下两倍大的模型——本地推理通常由容量而非速度决定选择。
How fast is the NVIDIA GeForce RTX 4060 Ti 8GB for AI inference?
The NVIDIA GeForce RTX 4060 Ti 8GB is estimated to run Llama 3.1 8B at 31–59 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 8 GB usable. These are modelled estimates, not measurements — see /en/methodology.
What LLMs can I run on 8 GB VRAM?
With 8 GB you can run: Bielik, Llama 3.2 Family, Llama 3.2 Vision, Falcon 3, Gemma 2 Family. Use Ollama for the easiest setup: ollama run llama3.1:8b.
Compare Similar GPUs
- NVIDIA GeForce RTX 3080 Ti (12 GB, 0 t/s)
- NVIDIA GeForce RTX 3080 12GB (12 GB, 0 t/s)
- AMD Radeon RX 7700 XT (12 GB, 0 t/s)
- NVIDIA GeForce RTX 4090 Laptop GPU (16 GB, 0 t/s)
VRAM Tier
Buying Guide
← All GPU Reviews | All Hardware | Check Your Hardware | Full Benchmarks | Can I Run It?