Google Gemma

innFactory AI Consulting from Rosenheim, Germany advises enterprises across the DACH region (Germany, Austria, Switzerland) on GDPR-compliant self-hosting of Google Gemma. With open weights, you have full control over your data - no information leaves your infrastructure.

Google Gemma - Open Weights from Google

Gemma is Google’s open-weights model family, developed based on the same research and technology as Gemini. Unlike the proprietary Gemini, Gemma models can be freely downloaded, operated locally, and customized for commercial purposes. With Gemma 4, Google has released its most intelligent open models to date, built on Gemini 3 technology and designed to maximize intelligence per parameter.

Gemma 4 - The New Generation (2026)

The Gemma 4 family marks a significant performance leap over the previous generation. Built on Gemini 3 research, the new models feature an integrated Thinking mode for complex reasoning and audio processing as an additional input modality for the first time.

Key Innovations in Gemma 4

• Thinking Mode: Integrated reasoning for mathematical, scientific, and complex tasks
• Audio Support: Audio processing in addition to text and image
• Agentic Workflows: Optimized for autonomous, multi-step tasks
• MoE Architecture: Gemma 4 26B A4B uses Mixture-of-Experts with only 4B active parameters
• Edge Models: Gemma 4 E4B and E2B for mobile and embedded applications

Benchmarks: Gemma 4 31B vs. Gemma 3 27B

The improvements are particularly massive in reasoning and code generation: LiveCodeBench jumps from 29.1% to 80.0%, AIME 2026 from 20.8% to 89.2%.

Key Strengths

Open Weights with Google Quality

• Gemini 3 Technology: Gemma 4 is based on the latest Google DeepMind research
• Full Control: Model runs in your own infrastructure
• No API Costs: Only hardware/cloud costs
• Customizable: Fine-tuning on your own data possible

Multimodal Capabilities (Gemma 4)

• Text + Image + Audio: Triple-modal processing (new: audio)
• 128K Context: Long documents in a single pass
• Multilingual: Over 140 languages supported
• Thinking Mode: Integrated reasoning for complex tasks

Flexible Deployment Options

• On-Premise: Own servers or private cloud
• Edge/Mobile: Gemma 4 E2B and E4B for compact devices
• Cloud: Vertex AI, AWS, Azure with your own instance
• Available on: HuggingFace, Ollama, Kaggle, LM Studio, Docker

Specialized Variants

In addition to the main models, Google offers specialized Gemma variants for specific use cases:

TranslateGemma (January 2026)

• Available in: 4B, 12B, and 27B parameters
• Focus: State-of-the-art translation quality
• Use Cases: Multilingual enterprise communication, document localization
• Advantage: Optimized for 140+ languages with particular strength in European languages

FunctionGemma (December 2025)

• Model Size: 270M parameters (ultra-compact)
• Focus: Function calling and structured outputs
• Use Cases: API integration, workflow automation, agentic AI
• Advantage: Minimal resource requirements with high precision

Gemma Scope 2 (December 2025)

• Type: Interpretability Suite
• Purpose: Transparency and debugging of Gemma 3 models
• Benefit: Traceable AI decisions for regulated industries
• DACH Relevance: Supports compliance requirements

Model Overview

Gemma 4 Family (2026)

Gemma 3 Family (2025)

Gemma 2 Family (2024)

Comparison: Gemma vs. Gemini vs. Llama

Use Cases

GDPR-Compliant Enterprise AI

• Sensitive data remains in your infrastructure
• No data transfer to external services
• Full control over logging and audit
• Gemma Scope 2 for traceable decisions

Specialized Applications

• RAG Systems: Make enterprise knowledge searchable
• Code Assistants: Internal developer tools
• Customer Service: Chatbots without data sharing
• Multilingual: TranslateGemma for international teams
• Workflow Automation: FunctionGemma for API integration
• Agentic Workflows: Gemma 4 for autonomous, multi-step tasks

Edge and Mobile

• Gemma 4 E2B/E4B: New edge-optimized models with Thinking mode
• Gemma 3 1B/4B: Proven compact variants
• Offline-capable: No internet connection needed
• Low Latency: Local processing

EU Availability

Google Vertex AI (Recommended)

• Region: Frankfurt (europe-west3)
• Advantage: Fully managed service with EU data residency
• GDPR: Fully compliant with proper configuration

Self-Hosted Options

• AWS SageMaker: Frankfurt (eu-central-1)
• Azure ML: West Europe
• On-Premise: Own data centers for maximum control

All Gemma models can be downloaded as open weights and operated in EU infrastructure, guaranteeing full data sovereignty. Gemma 4 is additionally available on HuggingFace, Ollama, Kaggle, LM Studio, and Docker.

Integration with CompanyGPT

Gemma models can be integrated into CompanyGPT as a self-hosted option - ideal for enterprises that want to combine Google quality with complete data control. The specialized variants like TranslateGemma are particularly suitable for multilingual enterprise environments.

Our Recommendation

Gemma 4 31B is the first choice for enterprises wanting to combine Google quality with self-hosting. With 85.2% MMMLU, 80% LiveCodeBench, and an integrated Thinking mode, it significantly surpasses its predecessor Gemma 3 27B across all relevant benchmarks.

For specialized applications, we recommend:

• Gemma 4 26B A4B for efficient deployment thanks to MoE architecture (only 4B active parameters)
• Gemma 4 E4B/E2B for edge applications and resource-constrained environments
• TranslateGemma for multilingual enterprises with high quality requirements
• FunctionGemma for workflow automation and API integrations

We support you in selecting, deploying, and fine-tuning Gemma models in your infrastructure. With Gemma Scope 2, we additionally offer transparency analyses for regulated industries.