Blog
Beyond the Model: The Hardware Decisions That Define Your AI Strategy
Unlocking the black box: How does model size translate into real hardware requirements?
In this post we break down the fundamentals every tech professional should know:
► LLM sizes: overview of LLMs and their intended use ► Memory demand: how to estimate it quickly and reliably ► Hardware choices: CPUs vs GPUs vs TPUs ► The VRAM bottleneck: why memory is the central constraint for inference performance
This is your guide to the engine room of Generative AI.
Dagger: CI/CD as Code and Agentic AI enabler
CI/CD pipelines are supposed to help developers ship better code, and faster. In practice, they quite often do the opposite. Developers still need to write scripts to build and test applications locally. Environment configurations bloat pipelines with opaque and hard-to-reuse YAML code. And as workflows expand beyond CI/CD to integrate agentic AI, traditional tools start to show their limits. Dagger was created to address exactly these problems.
One Prometheus to Rule Them All: Multi-Tenancy Kubernetes with Centralized Monitoring and vCluster Private Nodes
Discover how platform teams can implement centralized metrics for multi-tenant Kubernetes using vCluster. This article walks through observability patterns for both regular vClusters and private-node vClusters, showing how a centralized Prometheus and Grafana stack can serve many isolated tenant clusters, laying the foundation for scalable, production-ready multi-tenant observability.
Isolated GPU Nodes on Demand: Implementing vCluster Auto Nodes for AI Training on GKE
Tackle MCP-Servers on Kubernetes with kmcp and AgentGateway
Understanding the model context protocol, its usage, functionality, how to secure it, and why it is about to become one of the fundamental building blocks in an AI-Agent architecture. Explore different ways and examples of how to set up MCP-Servers in Kubernetes with AgentGateway, kgateway and kmcp. Learn how to make different MCP-Servers enterprise-ready by making them provide enterprise features such as authentication, authorization, and scalability.
Unlocking Secure Cloud Workloads with STACKIT Confidential Kubernetes and Terraform
