Can I Run Qwen 3 on NVIDIA GeForce RTX 3080 (10GB)?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — Qwen 3 8B at Q4_K_M needs 7 GB at 8K context (5 GB weights + 2 GB KV cache/overhead), leaving ~3 GB of the NVIDIA GeForce RTX 3080 (10GB)'s 10 GB, at ~71 tok/s (est.), with room for up to 16K context.
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NVIDIA GeForce RTX 3080 (10GB) Specs
| VRAM | 10 GB |
| Memory Bandwidth | 760 GB/s |
Qwen 3 8B on the NVIDIA GeForce RTX 3080 (10GB): VRAM by quantization
| Quant | VRAM needed | Fits 10 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 18.4 GB | ✗ No | — | — |
| Q8_0 | 10.7 GB | ✗ No | — | Build for this |
| Q6_K | 8.7 GB | ✓ Yes | 16K | — |
| Q5_K_M | 7.8 GB | ✓ Yes | 16K | — |
| Q4_K_M | 7 GB | ✓ Yes | 16K | Build for this |
| Q3_K_M | 5.5 GB | ✓ Yes | 32K | — |
| Q2_K | 4.7 GB | ✓ Yes | 32K | — |
Assumes an 8K-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 10 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 3080 (10GB): 8K 7 GB · 32K 10.6 GB ✗ · 125K 24.6 GB ✗. Past 32K it no longer fits 10 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Qwen 3 8B on 8 GB of system RAM, CPU only: runs.
Qwen 3 Sizes That Fit the NVIDIA GeForce RTX 3080 (10GB) (at 8K context)
| Qwen 3 8B | Q4_K_M · 7 GB at 8K context · ~71 tok/s (est.) |
At 2 hrs/day, buying (~$699) beats renting at $0.34/hr after about 2.9 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.
FAQ
Can I run Qwen 3 on the NVIDIA GeForce RTX 3080 (10GB)?
Yes, comfortably — Qwen 3 8B at Q4_K_M needs 7 GB at 8K context (5 GB weights + 2 GB KV cache/overhead), leaving ~3 GB of the NVIDIA GeForce RTX 3080 (10GB)'s 10 GB, at ~71 tok/s (est.), with room for up to 16K context.
What's the best Qwen 3 size for the NVIDIA GeForce RTX 3080 (10GB)?
Qwen 3 8B at Q4_K_M quantization needs 7 GB at 8K context (5 GB weights + 2 GB KV cache/overhead), estimated ~71 tokens/sec, up to 16K context.
Every Qwen 3 size on the NVIDIA GeForce RTX 3080 (10GB)
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen 3 235B-A22B (MoE) | 144.3 GB | Does not fit | — |
| Qwen 3 32B | 22.8 GB | Does not fit | — |
| Qwen 3 30B-A3B (MoE) | 20 GB | Does not fit | — |
| Qwen 3 14B | 11.1 GB | Runs at Q3_K_M | — |
| Qwen 3 8B | 7 GB | Runs | ~71 tok/s |
Qwen 3 on Other GPUs
- Qwen 3 on Intel Arc B570
- Qwen 3 on NVIDIA GeForce RTX 5070
- Qwen 3 on NVIDIA GeForce RTX 5060 Ti 8GB
- Qwen 3 on NVIDIA GeForce RTX 5060
- Qwen 3 on NVIDIA GeForce RTX 4070 Ti
Popular Models on the NVIDIA GeForce RTX 3080 (10GB)
VRAM Tier
Troubleshooting
Buying Guide
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