gemma4.devgemma4.dev
  • Models
  • Run Local
  • Deploy
  • Guides
Try Gemma 4 ↗
gemma4.devgemma4.dev

Deploy Gemma 4 to the Cloud

Deploy Gemma 4 models to production infrastructure. From a single-command serverless container to a distributed vLLM cluster on Kubernetes.

Quick Pick

Not sure which deployment option fits your use case?

arrow_forwardProduction inference API → vLLMarrow_forwardGoogle Cloud (easiest) → Gemini APIarrow_forwardPython/ML team → Vertex AIarrow_forwardContainerized app → Cloud Run

All Deployment Options

rocket_launch

vLLM

Advanced

High-throughput inference server with OpenAI-compatible API

api

Gemini API

Beginner

Google's managed Gemma 4 API — no infrastructure needed

cloud

Vertex AI

Advanced

Enterprise ML deployment with GCP Vertex AI Prediction

deployed_code

Cloud Run

Intermediate

Serverless container deployment — pay per request

hub

GKE

Advanced

Kubernetes cluster with GPU node pools

gemma4.devgemma4.dev

运行、部署和调试 Gemma 4 模型。专为快节奏开发者打造。

GitHubGitHubTwitterX (Twitter)Email
Models
  • Gemma 4 E2B
  • Gemma 4 E4B
  • Gemma 4 26B
  • Gemma 4 31B
  • Compare Models
Run Local
  • Ollama
  • Hugging Face
  • GGUF
  • LM Studio
  • llama.cpp
Deploy
  • vLLM
  • Gemini API
  • Vertex AI
  • Cloud Run
Guides & Help
  • Thinking Mode
  • Prompt Formatting
  • Function Calling
  • Error Fixes
© 2026 gemma4.dev All Rights Reserved.