RTX 5090
Pros
- Runs Gemma 3 27B at Q4 natively
- 32 GB VRAM — adequate headroom
11 consumer GPUs can run Gemma 3 27B at Q4 natively. Precise VRAM thresholds and benchmarks below.
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llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
This model requires aHigh-end GPU (24 GB VRAM)
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
Pros
Pros
Pros
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Check if your GPU can run Gemma 3 27B →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
*Prices and availability may change. Some links are affiliate links.
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 64.8 GB | 54 GB | Maximum |
| Q8 (high quality) | 32.4 GB | 27 GB | Near-lossless |
| Q4 (recommended) Best balance | 16.2 GB | 13.5 GB | Recommended |
| Q2 (minimum) | 8.1 GB | 6.75 GB | Quality loss |
| Developer | |
| Parameters | 27B |
| Context window | 128,000 tokens |
| License | Gemma |
| Use cases | chat, coding, reasoning, analysis |
| Released | 2025-03 |
Install with Ollama
ollama run gemma3:27b Hugging Face
google/gemma-3-27b-it Gemma 3 27B requires <strong class="text-primary-container">16.2 GB VRAM</strong> at Q4. 11 consumer GPUs meet this threshold. Below 8 GB or 14.2 GB you'll hit significant offload latency.
11 Q4 native · 18 offload
| GPU Unit | VRAM | Compatibility | Est. Speed | Action |
|---|---|---|---|---|
| RTX 5090 | 32GB | Optimal | 42 tok/s | Calculate → |
| RTX 4090 | 24GB | Optimal | 24 tok/s | Calculate → |
| M4 Ultra | 128GB | Optimal | 25 tok/s | Calculate → |
| M3 Ultra | 192GB | Optimal | 19 tok/s | Calculate → |
| RTX 3090 | 24GB | Optimal | 22 tok/s | Calculate → |
| M4 Max 48GB | 48GB | Optimal | 13 tok/s | Calculate → |
| RX 7900 XTX | 24GB | Optimal | 22 tok/s | Calculate → |
| M4 Max 36GB | 36GB | Optimal | 13 tok/s | Calculate → |
| RX 7900 XT | 20GB | Optimal | 19 tok/s | Calculate → |
| M4 Pro | 24GB | Optimal | 6 tok/s | Calculate → |
| M3 Pro | 18GB | Optimal | — | Calculate → |
| RTX 5080 | 16GB | Offload | — | Calculate → |
| RTX 4080 Super | 16GB | Offload | — | Calculate → |
| RTX 5070 Ti | 16GB | Offload | — | Calculate → |
| RTX 4070 Ti Super | 16GB | Offload | — | Calculate → |
| RTX 3080 Ti | 12GB | Offload | — | Calculate → |
| RTX 5070 | 12GB | Offload | — | Calculate → |
| RTX 3080 | 10GB | Offload | — | Calculate → |
| RX 7800 XT | 16GB | Offload | — | Calculate → |
| RX 6800 XT | 16GB | Offload | — | Calculate → |
| RTX 4070 | 12GB | Offload | — | Calculate → |
| RTX 4060 Ti 16GB | 16GB | Offload | — | Calculate → |
| RX 7700 XT | 12GB | Offload | — | Calculate → |
| RX 6700 XT | 12GB | Offload | — | Calculate → |
| RTX 2080 Ti | 11GB | Offload | — | Calculate → |
| RTX 3060 | 12GB | Offload | — | Calculate → |
| M2 Pro | 16GB | Offload | — | Calculate → |
| Arc A770 16GB | 16GB | Offload | — | Calculate → |
| M1 Pro | 16GB | Offload | — | Calculate → |
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Check availability →
RTX 4090
24 GB VRAM
Check availability →
M4 Ultra
128 GB VRAM
Check availability →
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Gemma 3 27B needs intermediate hardware or Q4 quantization to run on consumer GPUs. With 18 GB VRAM you get the best quality. Use the VRAM calculator to see which quantization your GPU supports.
Which GPU is worth it? Real specs and benchmarks side by side.
GPUs that run Gemma 3 27B at Q4 — sorted by AI performance score.
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Similar models in the chat category with comparable VRAM footprints.
The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
Prices change daily