Nari Labs Dia2 2B speed on RTX 5070 Ti and quantization-level VRAM fit.
RTX 5070 Ti meets the minimum VRAM requirement for Q4 inference of Nari Labs Dia2 2B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5070 Ti can run Nari Labs Dia2 2B with Q4 quantization. At approximately 174 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 15GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 16GB | 173.53 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 16GB | 121.47 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 16GB | 65.94 tok/s | ✅ Fits comfortably |
Check current pricing links for RTX 5070 Ti and similar cards.
Open RTX 5070 Ti buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →Rent cloud GPUs by the hour — no upfront hardware cost.
RTX 5070 Ti can run Nari Labs Dia2 2B at Q4 with an estimated 174 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while RTX 5070 Ti has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.