NVIDIA GeForce RTX 3060 Ti
Ampere mid-high with 8 GB at 448 GB/s. Comfortable for 7B Q4 (~80-100 tok/s) and 13B Q4 with light offload. The 'middle' of Ampere — better bandwidth than the 3060 12GB, less VRAM. Choice between this and the 12 GB sibling depends on whether 13B+ is in your roadmap.
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Sub-scores sum to 458 / 1000. Headline = 458 × 0.70 (Estimated-confidence discount) = 321. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →
Extrapolated from 448 GB/s bandwidth — 53.8 tok/s estimated. No measured benchmarks yet.
Plain-English: Comfortable for 7B chat.
Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.
This card is for operators who want fast 7B inference and occasional 13B use, but who aren't planning to run 30B+ models. It's a strong choice for interactive chat or code generation with 7B Q4 models, delivering roughly ~80-100 tok/s from its 448 GB/s bandwidth. 13B Q4 models run at about ~50-60 tok/s with light offload, but the 8 GB VRAM forces offloading of context or layers, which adds latency. The 3060 Ti breaks on any model requiring more than 8 GB, like 13B with long context or 30B Q4. It also lacks tensor cores for FP8 or INT8 acceleration, so quantized inference relies on CUDA cores. Pass on this card if your roadmap includes 13B+ models with long context or 30B class models—the 12 GB 3060 or a used 3080 10GB/12GB will serve better. At ~$280 used, it's a fair price for a fast 7B runner, but the VRAM ceiling limits its future-proofing.
›Why this rating
The 3060 Ti offers strong bandwidth for its price, making it excellent for 7B models, but the 8 GB VRAM is a hard ceiling that limits model size and context length. It's a solid mid-range pick today, but not a long-term investment for growing local AI workloads.
Overview
Ampere mid-high with 8 GB at 448 GB/s. Comfortable for 7B Q4 (~80-100 tok/s) and 13B Q4 with light offload. The 'middle' of Ampere — better bandwidth than the 3060 12GB, less VRAM. Choice between this and the 12 GB sibling depends on whether 13B+ is in your roadmap.
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Specs
| VRAM | 8 GB |
| Power draw (peak) | 200 W |
| Released | 2020 |
| MSRP | $399 |
| Backends | CUDA Vulkan |
Models that fit
Open-weight models small enough to run on NVIDIA GeForce RTX 3060 Ti with usable context.
Frequently asked
What models can NVIDIA GeForce RTX 3060 Ti run?
Does NVIDIA GeForce RTX 3060 Ti support CUDA?
How much does NVIDIA GeForce RTX 3060 Ti cost?
Where next?
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.