NVIDIA GeForce RTX 5060 8GB 8GB GPU memory and body cost are separate
It has 8 GB of VRAM and 448 GB/s of memory bandwidth. Estimates use 64 GB of system RAM at 90 GB/s; actual offload speed depends on the PC configuration.
Speed and memory for the same model
Hardware core specifications
- Available memory
- 7.25GB
- Memory bandwidth
- 448GB/s
- Estimated sustained LLM load
- About 202W
- Korean price range (KRW)
- 66 × KRW 10,000–67 × KRW 10,000
Who it fits
- 7.25GB available memory utilization
- CUDA-based local inference
- K2 Horizon MoVA 36B-A4B-class high-speed generation
Skip it if
Prices cover the GPU alone; electricity estimates cover the entire PC including the GPU. Add the host PC, power supply and cooling to your purchase budget.
Recommended format for each device 4K input
The model you will experience with this equipment
K2 Horizon 0.9B
Required 1.03GB · titration
llama.cpp CUDA · Q4_K_M
Decode
608.6 ~ 693.1 tok/s
First token
0.31 to 0.56 seconds
K2 Horizon MoVA 36B-A4B
recommendedRequired 21.94GB · tight
llama.cpp CUDA · Q4_K_M
Decode
10.3 ~ 10.3 tok/s
First token
2.7 to 4.8 seconds
Qwen3.8-Flash-Next
Required 44.8061152GB · tight
Strata · Blackwell (CC 12.0) · CUDA · MTP · NVMe PLE · single GPU
Decode
33.5 ~ 73.9 tok/s
First token
15.8 to 35.0 seconds
Actual speed varies with runtime version, cooling, context length and quantization file.
On sales pages, look at memory before chips.
The model and speed assumptions above change if the product is not the 8GB configuration.
Frequently asked questions
- What local LLMs can I run on RTX 5060 8GB?
- K2 Horizon 0.9B, K2 Horizon MoVA 36B-A4B, Qwen3.8-Flash-Next and others with a 4K input and the recommended format. Required memory varies by model and context length.
- What is the local LLM power of RTX 5060 8GB?
- Sustained load is about 202 W, with an actual range of 135–275 W.
- Are the displayed token speeds ground truth?
- This is a range aligned to collected benchmark measurements under the same conditions. Combinations without a matching measurement are estimated from the nearest result and vary with runtime, cooling, quantization file and context length.
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