NVIDIA RTX 5060 Ti for budget local AI inference
The 16GB version of the RTX 5060 Ti is the one worth discussing. The 8GB version is a gaming card that happens to run small models. With 16GB you can run 4-bit quantized models up to about 13B comfortably, plus a 32B model with offloading if you are patient.
That is substantial capability for a mid-range price. What it is not: a 24GB replacement. If your goal is 32B-plus models at full graphics processing unit (GPU) speed, save for more video memory (VRAM) instead.
Power efficiency is the 5060 Ti's quiet advantage. It draws far less than a 3090-class card, so it runs cool in small cases and will not spike your electricity bill during long inference sessions. For a bedroom office rig, that counts.
The 5060 Ti makes sense as a first local-AI card or a second machine's card: quiet, efficient, and enough for the 7B to 13B models most people run daily. Pair it with 32GB of system RAM so offloading never chokes, and you have a solid starter rig. See our current GPU picks.

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