CoreWeave Deploy Integration

Community-contributed. Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc.

Overview

Deploy GPU-accelerated inference services on CoreWeave Kubernetes (CKS). This skill covers containerizing inference workloads with NVIDIA CUDA base images, configuring GPU resource limits and node affinity for A100/H100 scheduling, setting up health checks that validate GPU availability and model loading, and executing rolling updates that respect GPU node draining. CoreWeave's scheduler requires explicit GPU resource requests to place pods on the correct hardware tier.

Docker Configuration

Prerequisites

• A reviewed image digest in an approved registry and a namespace-scoped image pull secret.
• A production deployment manifest with resource limits, health checks, SLO, and rollback revision.
• Approval for the target namespace, GPU capacity, and service exposure.

Instructions