Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — you'll have ~15.7 GB of headroom running Gemma 3 27B Instruct at Q4_K_M (16.3 GB, ~64 tok/s (est.)) with room for up to 8K context.
See what else this hardware can run →
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
| VRAM | 32 GB |
| Memory Bandwidth | 1792 GB/s |
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 59 GB | ✗ No | — | — |
| Q8_0 | 33.6 GB | ✗ No | — | — |
| Q6_K | 27.1 GB | ✓ Yes | 8K | — |
| Q5_K_M | 24.1 GB | ✓ Yes | 8K | — |
| Q4_K_M | 21.3 GB | ✓ Yes | 8K | — |
| Q3_K_M | 16.5 GB | ✓ Yes | 16K | — |
| Q2_K | 13.8 GB | ✓ Yes | 16K | — |
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 32 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 5090: 8K 25.4 GB · 32K 50.4 GB ✗ · 128K 150.2 GB ✗. Past 32K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Gemma 3 27B Instruct on 32 GB of system RAM, CPU only: runs comfortably.
| Gemma 3 27B Instruct | Q4_K_M · 16.3 GB · ~64 tok/s (est.) |
| Gemma 3 12B Instruct | Q4_K_M · 7.2 GB · ~125 tok/s (est.) |
| Gemma 3 4B Instruct | Q4_K_M · 2.4 GB · ~238 tok/s (est.) |
| Gemma 3 1B Instruct | Q4_K_M · 0.6 GB · ~352 tok/s (est.) |
At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 years.
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~15.7 GB of headroom running Gemma 3 27B Instruct at Q4_K_M (16.3 GB, ~64 tok/s (est.)) with room for up to 8K context.
Gemma 3 27B Instruct at Q4_K_M quantization (16.3 GB), estimated ~64 tokens/sec, up to 8K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Gemma 3 27B Instruct | 16.3 GB | Runs | ~64 tok/s |
| Gemma 3 12B Instruct | 7.2 GB | Runs | ~125 tok/s |
| Gemma 3 4B Instruct | 2.4 GB | Runs | ~238 tok/s |
| Gemma 3 1B Instruct | 0.6 GB | Runs | ~352 tok/s |
← Can I Run It? | Gemma 3 Model Page | NVIDIA GeForce RTX 5090 GPU Page | Check Your Hardware