Run JupyterLab, MLflow, MinIO S3, and Ollama Inference on a lightweight cluster using pure Docker Compose and <2GB RAM.
The "Kubernetes Tax" on Modern Machine Learning
If you’ve ever tried setting up Kubeflow on Kubernetes, you know the drill:
30+ Custom Resource Definitions (CRDs)
Istio Service Mesh + Knative + Cert-Manager + Dex
16 GB to 32 GB of RAM consumed before you even write a single line of Python
Kubeflow is the open-source MLOps platform for Kubernetes, a self-hosted alternative to AWS SageMaker...
Introduction: The Day Your Demo Dies Every LLM engineer has a moment like this. Your demo works...
Six months ago I got frustrated with cloud-locked LLM deployment tools. So I built kube-llmops — a complete open-source LLMOps…
PARTNER CONTENT: Why platform teams are swapping DIY Kubeflow for Canonical's managed service
k3d for local Kubernetes turned "reset your cluster" from a coffee-break chore into a one-line...
As large language model (LLM) inference workloads grow in complexity, a single monolithic serving process starts to hit its…
