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 regular updates and specialized variants, Gemma has evolved into one of the leading open-source options for enterprises.
Key Strengths
Open Weights with Google Quality
- Gemini Technology: Based on Google DeepMind’s 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 3)
- Text + Image (4B+): Processing images and text
- 128K Context (4B+): Long documents in a single pass
- Multilingual: Over 140 languages supported
- Current Benchmarks: 76.9% MMLU, 74.4% HumanEval (Gemma 3 27B)
Flexible Deployment Options
- On-Premise: Own servers or private cloud
- Edge/Mobile: Compact variants (270M, 1B, 2B, 4B)
- Cloud: Vertex AI, AWS, Azure with your own instance
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 3 Family (2025)
| Model | Parameters | VRAM | Recommended GPU | Context |
|---|---|---|---|---|
| Gemma 3 27B | 27B | 32+ GB | A100 / H100 | 128K |
| Gemma 3 12B | 12B | 16+ GB | RTX 4090 | 128K |
| Gemma 3 4B | 4B | 8 GB | RTX 4070 | 128K |
| Gemma 3 1B | 1B | 2 GB | Mobile / Edge | 32K |
| Gemma 3 270M | 0.27B | 1 GB | Mobile / Edge | 32K |
Gemma 2 Family (2024)
| Model | Parameters | VRAM | Recommended GPU | Context |
|---|---|---|---|---|
| Gemma 2 27B | 27B | 32+ GB | A100 | 8K |
| Gemma 2 9B | 9B | 12+ GB | RTX 4080 | 8K |
| Gemma 2 2B | 2B | 4 GB | RTX 3060 | 8K |
Comparison: Gemma vs. Gemini vs. Llama
| Aspect | Gemma 3 | Gemini 2.0 | Llama 4 |
|---|---|---|---|
| License | Open Weights | Proprietary | Community License |
| Self-Hosting | Yes | No | Yes |
| API Costs | None (Self-Hosted) | Pay-per-Use | None (Self-Hosted) |
| Multimodal | Text + Image | Comprehensive | Text + Image |
| GDPR Self-Host | Ideal | Cloud-dependent | Ideal |
| Fine-Tuning | Possible | Limited | Possible |
| Specialized Variants | TranslateGemma, FunctionGemma | Limited | None |
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
Edge and Mobile
- Gemma 3 1B/4B: For smartphones and IoT
- 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.
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 3 27B is the first choice for enterprises wanting to combine Google quality with self-hosting. The updated benchmarks (76.9% MMLU, 74.4% HumanEval) confirm its competitiveness against proprietary alternatives.
For specialized applications, we recommend:
- TranslateGemma for multilingual enterprises with high quality requirements
- FunctionGemma for workflow automation and API integrations
- Gemma 3 4B or 1B for edge applications and resource-constrained environments
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.