Deploy Gemma 3
Text & ChatCatalogue notes · not a new performance benchmark
Gemma 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.
Review a Gemma 3 setup
Available Variants (3)
| Model | GPU | VRAM | Configured estimate | Action |
|---|---|---|---|---|
Gemma 3 4B Small (4B) | L4 | 24 GB | Review current price | Deploy |
Gemma 3 12B Medium (12B, Recommended) | L4 | 24 GB | Review current price | Deploy |
Gemma 3 27B Large (27B) | RTX A6000 | 48 GB | Review current price | Deploy |
These configured estimates include the service fee and configured disk. Review the current quote before starting. Capacity, startup and output quality are not verified by this table.
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) with a current quote and spending controls shown before you start.
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?
Pricing varies by hardware and storage. Review the current quote and spending controls before starting.
How long does Gemma 3 take to deploy?
Startup depends on capacity, image and model downloads, and runtime readiness. The deployment page reports progress; a catalogue entry does not guarantee a startup time.
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 a configuration, review its dependencies, licence, current quote and spending controls, then choose whether to start.