AI Systems. GPU Clusters. Intelligent Agents.
From GPU hardware in the data center to the AI agent that automates your processes - Dawico builds and operates AI systems end-to-end. Self-hosted, privacy-compliant, in German data centers.
DAWICO STRENGTH: Dawico combines deep infrastructure know-how with hands-on AI experience. We operate GPU clusters, host LLMs and develop AI agents - all from a single source.
GPU cluster
Our own hardware
Open source
Models & tools
GDPR-compliant
Data protection
End-to-end
Infrastructure to agent
GPU infrastructure & clusters
AI workloads need computing power that conventional servers don't deliver. Dawico plans, builds and operates GPU systems in professional data centers - from a single GPU server to a multi-node cluster.
- GPU servers with NVIDIA hardware for training and inference
- Multi-node GPU clusters for large models and parallel training
- Planning of cooling and power supply concepts for high-density racks
- Colocation for AI hardware in Berlin and Frankfurt
- Network optimization for large data volumes and low latency
- Consulting on on-premise vs. cloud for AI workloads
Self-hosted LLMs with ollama & vLLM
Not every company wants to send its data to OpenAI or Google. Dawico hosts large language models on your own infrastructure - with ollama and vLLM. Your models, your data, your control.
- Local hosting of open-source models (Llama, Mistral, Qwen and many more)
- ollama for easy deployment and fast prototyping
- vLLM for high-performance inference with optimized throughput
- API endpoints compatible with the OpenAI standard - easy integration into existing applications
- Full data sovereignty: no data leaves your data center
- Scaling from single-GPU to multi-GPU depending on model size and load
AI agents for businesses
AI can do more than chat. With frameworks like OpenClaw and ZeroClaw, Dawico builds intelligent agents that take on real tasks in your company - reliably, transparently and adapted to your processes.
- Writing, answering and classifying emails
- Obtaining and comparing quotes
- Creating texts, reports and documentation
- Consolidating and preparing data from various sources
- Integration with existing systems (ERP, CRM, email, file systems)
- Custom agents for recurring business processes
Why self-hosted AI?
Cloud AI services are convenient - but not suitable for every company. Anyone working with sensitive data or needing full control is better off with self-hosted.
- Data protection: no data to third parties - GDPR-compliant
- Cost control: predictable costs instead of usage-based API fees
- Independence: no vendor lock-in, free choice of models
- Performance: dedicated hardware without shared infrastructure
- Adaptability: fine-tuning and custom models possible