Deploy Gemma 3
Text & ChatGemma 3 is Google’s model family for instruction following and language tasks. The catalog offers 4B, 12B and 27B configurations with different GPU requirements.
Set up a Gemma 3 workspace
Starting at $0.66/hr on dedicated GPU
Model configurations (3)
| Model | GPU | VRAM | Price | Action |
|---|---|---|---|---|
Gemma 3 4B Small (4B) | L4 | 24 GB | $0.66/hr | Deploy |
Gemma 3 12B Medium (12B, Recommended) | L4 | 24 GB | $0.66/hr | Deploy |
Gemma 3 27B Large (27B) | RTX A6000 | 48 GB | $0.72/hr | Deploy |
Prices include the service fee. Charges follow actual running time.
Requirements
The listed configuration specifies 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 $0.66/hr. Review the template’s required setup steps and settings before launch.
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 $0.66/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?
Startup time depends on model downloads, container setup, cached files and GPU availability. Review the estimate for your selected template; it is not a guaranteed time to a finished result. Dedicated GPU time is billed while allocated, including startup.
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?
Choose a GPU, review the estimated rate, and check the template’s setup requirements before launching.