SDNit has been selected as a launch partner for AWS European Sovereign Cloud and is taking an active role in the rollout of AWS’s new cloud environment in Europe.

AI is no longer experimental — it’s operational. Discover how to build a secure and scalable AI infrastructure on Kubernetes, where DevOps meets SecOps.

Most ML projects stall before they ever reach production. Here, we share three practical ways to succeed with MLOps — and get your models delivering real business value.

Many ML projects get stuck in the lab and never make it to production. Here, we explain why — and how a well-designed MLOps pipeline solves these challenges. Learn how we can set up a production-ready solution in just 3–4 weeks.

Varför kraschar så många AI-projekt när de väl går live? I den här artikeln går vi igenom open source-verktygen som hjälper företag att bygga stabila, säkra och skalbara AI-lösningar — från Langfuse och LiteLLM till moderna AIOps-ramverk för LLM-plattformar.

Do you want to run AI models without expensive GPUs? In this guide, we show you how to run lightweight LLMs in Kubernetes locally – with CPU and ONNX Runtime. Perfect for testing, development, and prototyping, and a great starting point before scaling up in the cloud with GCP or AWS.

Tired of flying blind in your network? So were we. That’s why our DevOps consultants built a real-time observability solution using Mist...

Det är just därför ni bör börja. Upptäck hur små steg inom nätverksautomation kan frigöra tid, minska fel och ge er kontroll – även med begränsade resurser.