Can I Run Qwen3.8 on NVIDIA GeForce RTX 4090?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes, comfortably — Qwen3.8 27B at Q4_K_M needs 18.3 GB at 8K context (16.8 GB weights + 1.5 GB KV cache/overhead), leaving ~5.7 GB of the NVIDIA GeForce RTX 4090's 24 GB, at ~48 tok/s (est.), with room for up to 64K context.
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NVIDIA GeForce RTX 4090 Specs
| VRAM | 24 GB |
| Memory Bandwidth | 1008 GB/s |
Qwen3.8 27B on the NVIDIA GeForce RTX 4090: VRAM by quantization
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 57.1 GB | ✗ No | — | — |
| Q8_0 | 31 GB | ✗ No | — | Build for this |
| Q6_K | 24.3 GB | ✗ No | — | — |
| Q5_K_M | 21.2 GB | ✓ Yes | 32K | Build for this |
| Q4_K_M | 18.3 GB | ✓ Yes | 64K | Build for this |
| Q3_K_M | 13.3 GB | ✓ Yes | 128K | — |
| Q2_K | 10.6 GB | ✓ Yes | 128K | — |
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 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 4090: 8K 18.3 GB · 32K 19.9 GB · 128K 26.3 GB ✗. Past 128K it no longer fits 24 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Qwen3.8 27B on 16 GB of system RAM, CPU only: runs.
Qwen3.8 Sizes That Fit the NVIDIA GeForce RTX 4090 (at 8K context)
| Qwen3.8 27B | Q4_K_M · 18.3 GB at 8K context · ~48 tok/s (est.) |
At 2 hrs/day, buying (~$1,599) beats renting at $0.34/hr after about 6.5 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
Is the NVIDIA GeForce RTX 4090 enough to run Qwen3.8 locally?
Yes, comfortably — Qwen3.8 27B at Q4_K_M needs 18.3 GB at 8K context (16.8 GB weights + 1.5 GB KV cache/overhead), leaving ~5.7 GB of the NVIDIA GeForce RTX 4090's 24 GB, at ~48 tok/s (est.), with room for up to 64K context.
What's the best Qwen3.8 size for the NVIDIA GeForce RTX 4090?
Qwen3.8 27B at Q4_K_M quantization needs 18.3 GB at 8K context (16.8 GB weights + 1.5 GB KV cache/overhead), estimated ~48 tokens/sec, up to 64K context.
Every Qwen3.8 size on the NVIDIA GeForce RTX 4090
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen3.8-Max | 1457.5 GB | Does not fit | — |
| Qwen3.8-Flash-Next | 109.7 GB | Does not fit | — |
| Qwen3.8 27B | 18.3 GB | Runs | ~48 tok/s |
Qwen3.8 on Other GPUs
- Qwen3.8 on NVIDIA GeForce RTX 3090
- Qwen3.8 on AMD Radeon RX 7900 XTX
- Qwen3.8 on Apple M4 Pro
- Qwen3.8 on Apple M3
- Qwen3.8 on Apple M2
Popular Models on the NVIDIA GeForce RTX 4090
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