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CPU-capable model ready

Gemma 4 27B

21 consumer GPUs can run Gemma 4 27B at Q4 natively. Precise VRAM thresholds and benchmarks below.

21 Compatible GPUs
18 with offloading
27B params
256K context
Javier Morales
Javier Morales AI Hardware Specialist — 8 years experience
GitHub: github.com/javier-morales-ia

llama.cpp 0.2.x · CUDA 12 · ROCm 6 · Updated monthly · methodology →

Execution Context

ARCHITECTURE TRANSFORMER
CONTEXT 256K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER Google
LICENSE Apache 2.0
Hardware Decision

This model requires a Mid-range GPU (16 GB VRAM)

Minimum

RTX 5080

Runs at Q4 — functional, some wait

16 GB VRAM
View compatible setup
Balanced

RTX 4070 Ti Super

Best value for daily use

16 GB VRAM
View compatible setup
Optimal

RTX 5090

Full quality, fastest inference

32 GB VRAM
View compatible setup

*Prices and availability may change. Some links are affiliate links.

System Requirements

GPU VRAM 14.9 GB Mid-range GPU
System RAM 27 GB 32 GB recommended
Storage 13.5 GB Q4 · SSD recommended
CPU i7 → 3 tok/s Runs without GPU

VRAM by Quantization

Quantization VRAM needed Disk space Quality
FP16 (max quality) 59.4 GB 54 GB Maximum
Q8 (high quality) 29.7 GB 27 GB Near-lossless
Q4 (recommended) Best balance 14.9 GB 13.5 GB Recommended
Q2 (minimum) 7.4 GB 6.8 GB Quality loss

Model Details

Developer Google
Parameters 27B
Context window 256,000 tokens
License Apache 2.0
Use cases chat, reasoning, vision, analysis
Released 2026-04

Install with Ollama

ollama run gemma4:27b

Hugging Face

google/gemma-4-27b-it
View on HF →
Technical Requirements

Can your GPU run Gemma 4 27B?

Gemma 4 27B requires 14.9 GB VRAM at Q4. 21 consumer GPUs meet this threshold. Below 8 GB or 12.9 GB you'll hit significant offload latency.

7.4GB Critical min
14.9GB Optimal Q4
29.7GB High Quality Q8
59.4GB Max FP16

Hardware Performance Matrix

21 Q4 native · 18 offload · 1 unsupported

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 →
RTX 5080 16GB Optimal Calculate →
M3 Ultra 192GB Optimal 19 tok/s Calculate →
RTX 4080 Super 16GB Optimal Calculate →
RTX 5070 Ti 16GB Optimal 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 →
RTX 4070 Ti Super 16GB Optimal Calculate →
RX 7900 XT 20GB Optimal 19 tok/s Calculate →
M4 Pro 24GB Optimal 6 tok/s Calculate →
RX 7800 XT 16GB Optimal Calculate →
RX 6800 XT 16GB Optimal Calculate →
RTX 4060 Ti 16GB 16GB Optimal Calculate →
M3 Pro 18GB Optimal Calculate →
M2 Pro 16GB Optimal Calculate →
Arc A770 16GB 16GB Optimal Calculate →
M1 Pro 16GB Optimal Calculate →
RTX 3080 Ti 12GB Offload Calculate →
RTX 5070 12GB Offload Calculate →
RTX 3080 10GB Offload Calculate →
RTX 4070 12GB Offload Calculate →
RX 7700 XT 12GB Offload Calculate →
RTX 3070 Ti 8GB Offload Calculate →
RTX 4060 Ti 8GB Offload Calculate →
RTX 3070 8GB Offload Calculate →
RX 6700 XT 12GB Offload Calculate →
RTX 3060 Ti 8GB Offload Calculate →
RTX 2080 Ti 11GB Offload Calculate →
RTX 3060 12GB Offload Calculate →
RTX 4060 8GB Offload Calculate →
RX 7600 8GB Offload Calculate →
RX 6600 XT 8GB Offload Calculate →
Arc A750 8GB 8GB Offload Calculate →
RX 6600 8GB Offload Calculate →
RTX 3050 8GB 8GB Offload Calculate →
GTX 1660 Super 6GB N/A Calculate →

Recommended GPUs for Gemma 4 27B

Benchmarks Reales
Sin Reviews Pagadas
Seleccion Editorial
Basado en Datos

Best picks by compatibility, VRAM headroom, and value — prices and availability may change.

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Gemma 4 27B — Compatibility guide

Gemma 4 27B can run on CPU without a dedicated GPU — unusual for a 27B model. On an i7-13700K with llama.cpp Q4 it reaches 3 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 27B

Which GPU is worth it? Real specs and benchmarks side by side.

Compatible Hardware

GPUs that run Gemma 4 27B at Q4 — sorted by AI performance score.

Benchmarks Reales
Sin Reviews Pagadas
Basado en Datos
RTX 5090
RTX 5090

NVIDIA · 32 GB VRAM

Q4 OK
42 tok/s > $1000
RTX 4090
RTX 4090

NVIDIA · 24 GB VRAM

Q4 OK
24 tok/s > $1000
M4 Ultra

Apple · 128 GB VRAM

Q4 OK
25 tok/s > $1000
RTX 5080
RTX 5080

NVIDIA · 16 GB VRAM

Q4 OK
$600–1000
M3 Ultra

Apple · 192 GB VRAM

Q4 OK
19 tok/s > $1000
RTX 4080 Super
RTX 4080 Super

NVIDIA · 16 GB VRAM

Q4 OK
$600–1000

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More Practical Alternatives

Similar models in the vision category with comparable VRAM footprints.

Not sure which GPU you need for Gemma 4 27B?

The VRAM Calculator tells you exactly which quantization your hardware can handle.