coreweave-data-handling

name	coreweave-data-handling
description	Handle training data and model artifacts on CoreWeave persistent storage. Use when managing large datasets, configuring storage classes, or implementing data pipelines for GPU workloads. Trigger with phrases like "coreweave data", "coreweave storage", "coreweave pvc", "coreweave dataset management".
allowed-tools	Read, Write, Edit, Bash(kubectl:*), Grep
version	1.0.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","gpu-cloud","kubernetes","inference","coreweave"]
compatible-with	claude-code

CoreWeave Data Handling

Storage Classes

Class	Type	Use Case
shared-hdd-ord1	HDD	Training data archival
shared-ssd-ord1	SSD	Model weights, active datasets
block-nvme-ord1	NVMe	High-performance training

PVC Configuration

apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: model-storage
spec:
  accessModes: ["ReadWriteMany"]
  resources:
    requests:
      storage: 500Gi
  storageClassName: shared-ssd-ord1

Data Loading Job

apiVersion: batch/v1
kind: Job
metadata:
  name: download-model
spec:
  template:
    spec:
      restartPolicy: Never
      containers:
        - name: downloader
          image: python:3.11-slim
          command: ["python3", "-c"]
          args:
            - |
              from huggingface_hub import snapshot_download
              snapshot_download("meta-llama/Llama-3.1-8B-Instruct", local_dir="/models/llama-8b")