Kubernetes LLM Foundations
Build the cluster mental model needed before serving models.
Kubernetes LLM guided labs
Practice the platform checks behind production LLM systems.
K8sLLM Labs turns Kubernetes LLM architecture into interactive operator challenges: paste terminal evidence, unlock hints, validate readiness, and track progress locally.
Pull architecture guide->Choose challenge
Run kubectl or curl->Paste terminal output
Regex check passes->Step completed
Open hint if blocked->Reveal solution if needed
Example checkpaste_regex
kubectl get nodes -L accelerator,nvidia.com/gpu.product
The check passes when the output proves GPU placement, node labeling, or accelerator scheduling evidence.
Free challenges12
Learning paths5
Guided checks68
Storage modellocal
Product paths
Built for platform engineers, DevOps, MLOps, and AI infrastructure learners.
vLLM Production Serving
Move from runtime deployment to latency, health, and rollout checks.
RAG Platform Engineering
Operate ingestion, retrieval, policy, answer quality, and evaluation.
LLM Observability and Cost
Connect user latency, runtime saturation, GPU pressure, and economics.
Production Readiness for AI Workloads
Review security, rollout, tenancy, rollback, and platform ownership.
Challenge catalog
Guided checks for Kubernetes LLM operators.
Topic
Difficulty
Path
Showing 6 of 6 challenges
Model servingHard75 minFree
vLLM Inference Challenge
Deploy a GPU-backed OpenAI-compatible endpoint and prove scheduling, health, TTFT, queueing, and rollback readiness.
- Persona
- AI infrastructure engineer
- Tools
- kubectl, vLLM, Prometheus
- Progress
- not started
RAGMedium60 minFree
RAG Retrieval Challenge
Operate ingestion, metadata filters, vector retrieval, answer evaluation, and failure drills for production RAG.
- Persona
- MLOps engineer
- Tools
- kubectl, curl, vector database
- Progress
- not started
ProductionHard50 minFree
Production Readiness Challenge
Run a launch review across security, quota, rollout, observability, cost, and ownership before live traffic.
- Persona
- Platform lead
- Tools
- kubectl, policy engine, dashboard
- Progress
- not started
ObservabilityMedium45 minFree
LLM Observability Challenge
Build the signal model needed to debug user latency, runtime saturation, GPU pressure, traces, logs, and alerts.
- Persona
- SRE
- Tools
- Prometheus, Grafana, OpenTelemetry
- Progress
- not started
Model servingMedium55 minFree
vLLM Kubernetes Deployment Lab
Design the deployment contract for vLLM with model cache, readiness, runtime flags, and service exposure.
- Persona
- AI infrastructure engineer
- Tools
- kubectl, vLLM, container registry
- Progress
- not started
ArchitectureMedium35 minFree
KServe vs Ray Serve Decision Lab
Choose the serving abstraction by ownership model, CRDs, graph complexity, autoscaling, and rollout needs.
- Persona
- Platform architect
- Tools
- decision matrix, runtime inventory
- Progress
- not started
Premium labs later
Advanced solutions, downloadable kits, and review worksheets will become the first paid product.
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