Can I Run Gemma 3 27B Instruct on NVIDIA GeForce RTX 3090?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes. Gemma 3 27B Instruct needs 18.4 GB at 8K context (16.3 GB weights + 2.1 GB KV cache/overhead) at Q4_K_M and the NVIDIA GeForce RTX 3090 has 24 GB, leaving about 5.6 GB of headroom, at roughly 31 tok/s (estimated) with room for up to 64K of context.
See what else this hardware can run →
The numbers
| Model | Gemma 3 27B Instruct |
| Parameters | 27B |
| Quantization | Q4_K_M |
| VRAM needed (8K context) | 18.4 GB |
| NVIDIA GeForce RTX 3090 VRAM | 24 GB |
| Verdict | Runs |
| Max context | 64K |
| Estimated speed | ~31 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 | 56.1 GB | ✗ No | — | — |
| Q8_0 | 30.8 GB | ✗ No | — | — |
| Q6_K | 24.3 GB | ✗ No | — | — |
| Q5_K_M | 21.3 GB | ✓ Yes | 32K | — |
| Q4_K_M | 18.4 GB | ✓ Yes | 64K | — |
| Q3_K_M | 13.6 GB | ✓ Yes | 128K | — |
| Q2_K | 11 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 3090: 8K 18.4 GB · 32K 20.4 GB · 128K 28.5 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.
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 24 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 (9.1 GB)
- Gemma 3 4B Instruct — runs (3.6 GB)
- Gemma 3 1B Instruct — runs (1.5 GB)
Gemma 3 27B Instruct on nearby hardware
- Apple M1 (16 GB) — runs at a lower quant
- 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 | VRAM calculator | Check your hardware