Deploy Gemma 3
Text & ChatGemma 3 is Google's efficient open model family with the best quality-to-size ratio in its class. Available in 4B, 12B, and 27B sizes, these models punch above their weight on reasoning and instruction following.
Deploy Gemma 3 in minutes
Starting at $0.53/hr on dedicated GPU
Available Variants (3)
| Model | GPU | VRAM | Price | Action |
|---|---|---|---|---|
Gemma 3 4B Small (4B) | L4 | 24 GB | $0.53/hr | Deploy |
Gemma 3 12B Medium (12B, Recommended) | L4 | 24 GB | $0.53/hr | Deploy |
Gemma 3 27B Large (27B) | RTX A6000 | 48 GB | $0.66/hr | Deploy |
Prices include the service fee. Charges follow actual running time.
Requirements
ModelPilot assigns 24–48GB cloud GPUs across the listed variants. Actual local VRAM requirements vary with model variant, precision, quantization, resolution, and workflow settings.
On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) starting at $0.53/hr with no setup required.
Use Cases
- ✓Cost-effective AI inference
- ✓Edge deployment and mobile
- ✓Instruction following
- ✓Research and fine-tuning
Related Models
Frequently Asked Questions
How much GPU memory is allocated for Gemma 3?
The listed ModelPilot variants use 24–48GB cloud GPUs. Local memory needs vary with the variant, precision, quantization, and workflow settings.
How much does it cost to run Gemma 3?
Starting at $0.53/hr on a dedicated GPU. Charges are calculated from actual running time, with auto-stop when credits run out.
How long does Gemma 3 take to deploy?
Text models typically deploy in 5–15 minutes including model download.
Can I run Gemma 3 on my local GPU?
It depends on the selected variant, precision, quantization, and workflow settings. Compare the variants below with your available VRAM; the table shows ModelPilot's cloud GPU allocation, not a universal local minimum.
Ready to deploy Gemma 3?
Pick your GPU and have it running in minutes. No infrastructure setup required.