Scalable Cloud Infrastructure for AI Workloads
Running Agentic AI and intelligent automation at scale demands a robust, purpose-built cloud infrastructure. Cloudkasten GmbH designs, deploys, and manages AI-optimized cloud platforms on Microsoft Azure — ensuring your AI solutions perform reliably, securely, and cost-effectively in production.
Azure AI Services
We leverage the full spectrum of Azure AI services to power your intelligent applications:
- Azure OpenAI Service — Enterprise-grade access to GPT-4, GPT-4o, and other frontier models with built-in content safety and compliance.
- Azure AI Search — Vector and hybrid search for building powerful Retrieval-Augmented Generation (RAG) pipelines.
- Azure Machine Learning — End-to-end ML lifecycle management, from model training to deployment and monitoring.
- Azure AI Document Intelligence — Automated extraction and processing of structured data from documents.
These services form the foundation for our Agentic AI Development solutions.
Cloud Infrastructure for AI Workloads
AI applications have unique infrastructure requirements — from GPU compute for model inference to high-throughput messaging for agent orchestration. We architect and manage:
- Kubernetes clusters (AKS) optimized for AI workloads with GPU node pools and auto-scaling
- Serverless compute with Azure Functions and Azure Container Apps for event-driven AI pipelines
- Data infrastructure including Azure Cosmos DB, Azure SQL, and Azure Storage for high-performance data access
- Networking & Security with Azure Virtual Networks, Private Endpoints, and managed identities
DevOps & MLOps Integration
Deploying AI into production is only the beginning. We implement comprehensive DevOps and MLOps practices to ensure continuous delivery and operational excellence:
- CI/CD pipelines for both application code and AI model deployments
- Infrastructure as Code with Terraform and Bicep for reproducible environments
- Model monitoring to detect performance degradation and data drift
- Cost optimization through resource right-sizing, reserved instances, and spot compute
Our MLOps approach ensures your AI solutions remain accurate, performant, and cost-efficient over time.
Whether you need a greenfield AI platform or want to optimize your existing Azure environment, Cloudkasten GmbH delivers the infrastructure expertise you need. Explore our AI-Native Software Engineering services or contact us to get started.