Qwen Qwen3 30B A3b Instruct 2507 FP8 speed on RTX 4060 Ti 8GB and quantization-level VRAM fit.
RTX 4060 Ti 8GB does not meet the minimum VRAM requirement for Q4 inference of Qwen Qwen3 30B A3b Instruct 2507 FP8. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4060 Ti 8GB lacks sufficient VRAM for comfortable Qwen Qwen3 30B A3b Instruct 2507 FP8 operation with Q4 quantization.
Your 8GB GPU is 7GB short of the 15GB minimum.
Options: (1) Try Q2 or Q3 quantization for lower VRAM requirements, (2) Consider cloud GPU rental, (3) Upgrade to a GPU with at least 16GB VRAM.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 15GB | 8GB | 60.63 tok/s | ❌ Not recommended |
| Q8 | 30GB | 8GB | 42.44 tok/s | ❌ Not recommended |
| FP16 | 60GB | 8GB | 23.04 tok/s | ❌ Not recommended |
Check current pricing links for RTX 4060 Ti 8GB and similar cards.
Open RTX 4060 Ti 8GB 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 →Your GPU doesn't meet the VRAM requirements. Run Qwen Qwen3 30B A3b Instruct 2507 FP8 on cloud GPU instantly.
RTX 4060 Ti 8GB is not a comfortable Q4 fit for Qwen Qwen3 30B A3b Instruct 2507 FP8 (about 15GB needed).
Q4 inference is estimated to need about 15GB VRAM on this page, while RTX 4060 Ti 8GB has 8GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.