Skip to main content

Deploy Gemma 3

Text & Chat

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.

Deploy Gemma 3 in minutes

Starting at $0.53/hr on dedicated GPU

Available Variants (3)

ModelGPUVRAMPriceAction
Gemma 3 4B
Small (4B)
L424 GB$0.53/hrDeploy
Gemma 3 12B
Medium (12B, Recommended)
L424 GB$0.53/hrDeploy
Gemma 3 27B
Large (27B)
RTX A600048 GB$0.66/hrDeploy

Prices include 30% service fee. Billed per minute while running.

Requirements

Gemma 3 requires 24–48GB VRAM depending on variant. Consumer GPUs like the RTX 5080 (16GB) or RTX 4090 (24GB) may not have enough memory for larger variants.

On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) starting at $0.53/hr with no setup required.

Includes OpenWebUI chat interface and OpenAI-compatible API endpoint.

Use Cases

  • Cost-effective AI inference
  • Edge deployment and mobile
  • Instruction following
  • Research and fine-tuning

Related Models

Frequently Asked Questions

How much VRAM does Gemma 3 need?

Gemma 3 requires 24–48GB VRAM depending on the variant.

How much does it cost to run Gemma 3?

Starting at $0.53/hr on a dedicated GPU. Billed per minute while running, 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?

You can run smaller variants locally if your GPU has enough VRAM. For larger variants or sustained production use, cloud GPUs offer more capacity and reliability.

Ready to deploy Gemma 3?

Pick your GPU and have it running in minutes. No infrastructure setup required.