Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
Yes. Qwen 3 30B-A3B (MoE) needs 18.4 GB at Q4_K_M and the NVIDIA GeForce RTX 3090 has 24 GB, leaving about 5.6 GB of headroom, at roughly 157 tok/s (estimated) with room for up to 32K of context.
See what else this hardware can run →
| Model | Qwen 3 30B-A3B (MoE) |
| Parameters | 30B (3B active) |
| Quantization | Q4_K_M |
| VRAM needed | 18.4 GB |
| NVIDIA GeForce RTX 3090 VRAM | 24 GB |
| Verdict | Runs |
| Max context | 32K |
| Estimated speed | ~157 tok/s |
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 62.2 GB | ✗ No | — | — |
| Q8_0 | 33.6 GB | ✗ No | — | Build for this |
| Q6_K | 26.2 GB | ✗ No | — | — |
| Q5_K_M | 22.8 GB | ✓ Yes | 8K | — |
| Q4_K_M | 19.6 GB | ✓ Yes | 32K | Build for this |
| Q3_K_M | 14.2 GB | ✓ Yes | 64K | — |
| Q2_K | 11.2 GB | ✓ Yes | 64K | — |
Assumes a 4K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 24 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 3090: 8K 20 GB · 32K 22.4 GB · 125K 31.8 GB ✗. Past 125K it no longer fits 24 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.
No compatible GPU? Qwen 3 on 8 GB of system RAM, CPU only: runs.
Running Qwen 3 30B-A3B (MoE) on this card:
At 2 hrs/day, buying (~$1,499) beats renting at $0.34/hr after about 6.1 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
All Qwen 3 sizes on the NVIDIA GeForce RTX 3090 | Qwen 3 30B-A3B (MoE) model page | NVIDIA GeForce RTX 3090 GPU page | Check your hardware