32 GB VRAM · Q4 native Amazon
RTX 5090
Vorteile
- 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
Vorteile
- Runs Gemma 4 31B at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Vorteile
- Runs Gemma 4 31B at Q4 natively
- 128 GB VRAM — adequate headroom
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
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
Reale Benchmarks
Keine bezahlten Reviews
Redaktionelle Auswahl
Datenbasiert
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 →
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
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.
Reale Benchmarks
Keine bezahlten Reviews
Datenbasiert
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
More Practical Alternatives
Similar models in the vision category with comparable VRAM footprints.
Not sure which GPU you need for Gemma 4 31B?
The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
Check availability
Preise ändern sich täglich