Substantial configuration · Officially released product · Updated 2026-09-06
16GB GPU memory, main unit cost separate
NVIDIA GeForce RTX 5060 Ti 16GB local LLM speed/memory/electricity rate
448 GB/s GDDR7 VRAM. 16GB entry desktop GPU with 8B and 12B Q4 models 100% loadable in dedicated VRAM.
Core specifications
- available memory
- 15GB
- Memory bandwidth
- 448GB/s
- local LLM sustained load
- about 250W
- Korean price range (KRW)
- 75–105 × KRW 10,000
a person who fits well
- Utilizes 15GB of available memory
- CUDA-based local inference
- Qwen3.6 35B-A3B (MoE) level high-speed generation
Check before purchasing
Price and power shown are GPU-centric comparisons. In a real system, a host PC, power supply, cooling and slot configuration are added.
4K context · Q4 model-specific expected performance
| Model | required memory | Decode | First token | Prefill |
|---|---|---|---|---|
| Gemma 4 12B llama.cpp CUDA · Q4_K_M | 8GB | 47.6 ~ 52.7 tok/s | 3.5 ~ 4.7 s | 876 ~ 1,162 tok/s |
| Qwen3.6 35B-A3B (MoE) llama.cpp CUDA · Q4_K_M | 21.28GB | 15.1 ~ 19.5 tok/s | 2.1 ~ 2.7 s | 1,544 ~ 2,047 tok/s |
Single-user expected range and may vary depending on runtime, cooling, and quantization files.
Frequently Asked Questions
Which local LLM can be run on an RTX 5060 Ti 16GB?
Gemma 4 12B, Qwen3.6 35B-A3B (MoE) etc. can be compared with 4K input and device-specific recommended formats. The required memory varies depending on the model and context length.
What is the power consumption of a local LLM on an RTX 5060 Ti 16GB?
Expected to be around 250W under sustained load, with an actual range of 190–320W.
Are the displayed token speeds ground truth?
This is an estimated range calibrated to the calculator against official hardware specifications and verified benchmark ranges. Runtime, cooling, quantization may vary depending on file and context length.