GPU Labs

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

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.

Production-style model reliability platform with drift checks, durable incidents, transactional notifications, RCA and lineage, a tested SignalOps console, and a study guide.

Atomic N-or-0 EKS node provisioning for gang jobs through a Kueue AdmissionCheck

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.

A Kubernetes controller that synchronizes secrets between manager and worker nodes in multi-Kueue environments

Production-style KServe platform with Open Inference V2, canary and rollback controls, a tested ServeOps console, observability, and guided study artifacts.

Helm chart for deploying Platforma on Kubernetes with Kueue job scheduling. Supports AWS EKS and GCP GKE.

Demo AI workloads on OpenShift

Kubernetes job queue system for research computing

Production-style Metaflow and Airflow training control plane with partitioned backfills, checkpoint recovery, Kueue design, a tested TrainOps console, and a study guide.