Seven hands-on labs for running AI workloads on Kubernetes: GPU scheduling, distributed training, model serving, and agents. Runs on a local kind cluster, no GPU required. Companion to a KubeCon EU 2026 talk.
Multi-backend LLM serving and training platform — vLLM/Triton/Ray Serve/KServe/BentoML behind one contract, Kueue/Karpenter GPU orchestration, Ray Train/FSDP/DeepSpeed with LoRA/PEFT and DVC, MLflow/W&B tracking, and a tool-grounded LangGraph advisor — CI-validated without real GPU cost.
Make Kueue the single admission controller for mixed Slurm, Ray, and Kubernetes workloads on one shared pool. Experimental, live-validated prototype. Apache-2.0.
Ground-side mission plan compiler for ORCHIDE-class cloud-native satellite platforms. Validates plans, applies OPA policy guardrails, and renders Argo/Kueue workflow artifacts.
Job scheduling api for finetuning ML models on clusters
AdmiRL: Learning-Augmented Admission Control for Gang and Elastic GPU Workloads in Kueue
Atomic N-or-0 EKS node provisioning for gang jobs through a Kueue AdmissionCheck
Production-style model reliability platform with drift checks, durable incidents, transactional notifications, RCA and lineage, a tested SignalOps console, and a study guide.
Production-style Kubernetes MLOps control plane with MLflow 3, Airflow 3.3, KServe/Kueue architecture labs, a tested KubeOps console, failure drills, and a study guide.
Helm chart for deploying Platforma on Kubernetes with Kueue job scheduling. Supports AWS EKS and GCP GKE.
A Kubernetes controller that synchronizes secrets between manager and worker nodes in multi-Kueue environments
Kubernetes job queue system for research computing
Production-style KServe platform with Open Inference V2, canary and rollback controls, a tested ServeOps console, observability, and guided study artifacts.
Production-style Metaflow and Airflow training control plane with partitioned backfills, checkpoint recovery, Kueue design, a tested TrainOps console, and a study guide.
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