Can I Run Gemma 3 27B Instruct on NVIDIA GeForce RTX 3090?
作者： Jakub Rusinowski · 最后更新： 2026年9月19日
Yes. Gemma 3 27B Instruct needs 16.3 GB at Q4_K_M and the NVIDIA GeForce RTX 3090 has 24 GB, leaving about 7.7 GB of headroom, at roughly 27 tok/s (estimated) with room for up to 4K of context.
See what else this hardware can run →
The numbers
| Model | Gemma 3 27B Instruct |
| Parameters | 27B |
| Quantization | Q4_K_M |
| VRAM needed | 16.3 GB |
| NVIDIA GeForce RTX 3090 VRAM | 24 GB |
| Verdict | Runs |
| Max context | 4K |
| Estimated speed | ~27 tok/s |
Gemma 3 27B Instruct on the NVIDIA GeForce RTX 3090: VRAM by quantization
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 59 GB | ✗ No | — | — |
| Q8_0 | 33.6 GB | ✗ No | — | — |
| Q6_K | 27.1 GB | ✗ No | — | — |
| Q5_K_M | 24.1 GB | ✗ No | — | — |
| Q4_K_M | 21.3 GB | ✓ Yes | 4K | — |
| Q3_K_M | 16.5 GB | ✓ Yes | 8K | — |
| Q2_K | 13.8 GB | ✓ Yes | 8K | — |
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 25.4 GB ✗ · 32K 50.4 GB ✗ · 128K 150.2 GB ✗. Past 8K it no longer fits 24 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
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? Gemma 3 27B Instruct on 32 GB of system RAM, CPU only: runs comfortably.
Running Gemma 3 27B Instruct 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.
Other Gemma 3 sizes on the NVIDIA GeForce RTX 3090
- Gemma 3 12B Instruct — runs (7.2 GB)
- Gemma 3 4B Instruct — runs (2.4 GB)
- Gemma 3 1B Instruct — runs (0.6 GB)
Gemma 3 27B Instruct on nearby hardware
- Apple M1 (16 GB) — does not fit
- NVIDIA GeForce RTX 5090 (32 GB) — runs
All Gemma 3 sizes on the NVIDIA GeForce RTX 3090 | Gemma 3 27B Instruct model page | NVIDIA GeForce RTX 3090 GPU page | Check your hardware