Gemma 4 QAT Model Deployed on GCE with NVIDIA L4 GPUs

This article details a deployment guide for the Gemma 4 model, specifically focusing on its Quantized Aware Training (QAT) version. It outlines the process of setting up Gemma 4 on a Google Compute Engine (GCE) instance equipped with NVIDIA L4 GPUs. The guide also incorporates the use of MCP and the Antigravity CLI tools to facilitate this deployment. AI

IMPACT Provides a technical guide for deploying Gemma 4 QAT on GCE with NVIDIA L4 GPUs.

RANK_REASON The article provides a technical guide for deploying an existing model on specific hardware and software, fitting the 'tool' category.

Read on Medium — MCP tag →

• Antigravity CLI
• Gemma 4 QAT
• Google Compute Engine
• MCP
• NVIDIA L4

• infra
• model release

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →