NVIDIA GeForce RTX 2070 Super
The Turing refresh that made 8 GB Turing genuinely fast. ~70-90 tok/s on 7B Q4 with ExLlamaV2. Same 8 GB ceiling as the base 2070 but more compute. Strong used-market value in 2026.
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 the operator who wants to run 7B models at high speed on a budget, and is willing to accept the 8 GB VRAM ceiling. It handles 7B Q4 models at ~70-90 tok/s with ExLlamaV2, and can run 13B Q4 models at ~30-40 tok/s with aggressive quantization. The 8 GB limit breaks on 30B+ models, and even 13B models require careful quantization to fit. Pass if you need to run 34B+ models or want headroom for larger context windows. At ~$280 used, it's a strong value for fast 7B inference, but consider an RTX 3060 12 GB if VRAM is the priority.
›Why this rating
The RTX 2070 Super offers excellent tok/s for 7B models at a low used price, but the 8 GB VRAM is a hard limit for larger models. It earns a 7.5 for its strong price-to-performance ratio in its niche, but loses points for limited future-proofing.
Overview
The Turing refresh that made 8 GB Turing genuinely fast. ~70-90 tok/s on 7B Q4 with ExLlamaV2. Same 8 GB ceiling as the base 2070 but more compute. Strong used-market value in 2026.
Search-fallback links. Editorial hasn't yet curated retailer URLs for this card. Approx. $280.
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Specs
| VRAM | 8 GB |
| Power draw | 215 W |
| Released | 2019 |
| MSRP | $499 |
| Backends | CUDA Vulkan |
Models that fit
Open-weight models small enough to run on NVIDIA GeForce RTX 2070 Super with usable context.
Frequently asked
What models can NVIDIA GeForce RTX 2070 Super run?
Does NVIDIA GeForce RTX 2070 Super support CUDA?
How much does NVIDIA GeForce RTX 2070 Super cost?
Where next?
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.