32 GB VRAM · Q4 native Amazon
RTX 5090
Prós
- Runs Gemma 4 31B at Q4 natively
- 32 GB VRAM — adequate headroom
CPU-capable model ready
Gemma 4 31B
11 consumer GPUs can run Gemma 4 31B at Q4 natively. Precise VRAM thresholds and benchmarks below.
11 Compatible GPUs
18 with offloading
31B params
128K context
Top pick
RTX 5090 · 32 GB VRAM runs Q4 natively
Prices and availability may change · affiliate link
Javier Morales AI hardware specialist — 8 years of experience
GitHub: github.com/javier-morales-ia
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
Execution Context
ARCHITECTURE TRANSFORMER
CONTEXT 128K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER Google
LICENSE Apache 2.0
Hardware Decision
This model requires aHigh-end GPU (24 GB VRAM)
Compatible GPUs for Gemma 4 31B
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
24 GB VRAM · Q4 native Amazon
RTX 4090
Prós
- Runs Gemma 4 31B at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Prós
- Runs Gemma 4 31B at Q4 natively
- 128 GB VRAM — adequate headroom
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How to run this model
CPU vs GPU for Gemma 4 31B →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
*Prices and availability may change. Some links are affiliate links.
System Requirements
GPU VRAM 17.1 GB High-end GPU
System RAM 31 GB
32 GB recommended
Storage 15.5 GB Q4 · SSD recommended
CPU i7 → 1 tok/s Runs without GPU
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 68.2 GB | 62 GB | Maximum |
| Q8 (high quality) | 34.1 GB | 31 GB | Near-lossless |
| Q4 (recommended) Best balance | 17.1 GB | 15.5 GB | Recommended |
| Q2 (minimum) | 8.5 GB | 7.8 GB | Quality loss |
Model Details
| Developer | |
| Parameters | 31B |
| Context window | 128,000 tokens |
| License | Apache 2.0 |
| Use cases | chat, vision, reasoning, coding, analysis |
| Released | 2026-04 |
Install with Ollama
ollama run gemma4:31b Hugging Face
google/gemma-4-31B Technical Requirements
Can your GPU run Gemma 4 31B?
Gemma 4 31B requires <strong class="text-primary-container">17.1 GB VRAM</strong> at Q4. 11 consumer GPUs meet this threshold. Below 8 GB or 15.100000000000001 GB you'll hit significant offload latency.
8.5GB Critical min
17.1GB Optimal Q4
34.1GB High Quality Q8
68.2GB Max FP16
Hardware Performance Matrix
11 Q4 native · 18 offload
Recommended GPUs for Gemma 4 31B
Benchmarks reais
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Baseado em dados
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Q4 native
Check availability →
RTX 4090
24 GB VRAM
Q4 native
Check availability →
M4 Ultra
128 GB VRAM
Q4 native
Check availability →
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
Gemma 4 31B — Compatibility guide
Gemma 4 31B can run on CPU without a dedicated GPU — unusual for a 31B model. On an i7-13700K with llama.cpp Q4 it reaches 1 tok/s (slow but usable). With a GPU you get 4–6× more speed — check the VRAM calculator for specifics.
Compare GPUs for Gemma 4 31B
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run Gemma 4 31B at Q4 — sorted by AI performance score.
Benchmarks reais
Sem reviews pagas
Baseado em dados
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
More Practical Alternatives
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Not sure which GPU you need for Gemma 4 31B?
The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
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