coreweave-ci-integration

DevOps & Security

Integrate CoreWeave deployments into CI/CD pipelines with GitHub Actions. Use when automating container builds, deploying inference services from CI, or validating GPU manifests in pull requests. Trigger with phrases like "coreweave CI", "coreweave github actions", "coreweave pipeline", "automate coreweave deploy".

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CoreWeave CI Integration

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

Overview

Set up CI/CD for CoreWeave GPU cloud workloads: run unit tests with mocked Kubernetes clients on every PR, deploy inference containers to CoreWeave namespaces on merge to main, and validate GPU resource requests against quota. CoreWeave uses standard Kubernetes APIs with GPU-specific scheduling, so CI pipelines authenticate via kubeconfig and manage deployments through kubectl.

GitHub Actions Workflow

# .github/workflows/coreweave-ci.yml
name: CoreWeave CI
on:
  pull_request:
    paths: ['src/**', 'k8s/**', 'Dockerfile']
  push:
    branches: [main]

jobs:
  unit-tests:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with: { node-version: '20' }
      - run: npm ci
      - run: npm test -- --reporter=verbose

  deploy:
    if: github.ref == 'refs/heads/main'
    needs: unit-tests
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Build and push container
        run: |
          echo "${{ secrets.GHCR_TOKEN }}" | docker login ghcr.io -u ${{ github.actor }} --password-stdin
          docker build -t ghcr.io/${{ github.repository }}/inference:${{ github.sha }} .
          docker push ghcr.io/${{ github.repository }}/inference:${{ github.sha }}
      - name: Deploy to CoreWeave
        env:
          KUBECONFIG_DATA: ${{ secrets.COREWEAVE_KUBECONFIG }}
        run: |
          echo "$KUBECONFIG_DATA" | base64 -d > /tmp/kubeconfig
          export KUBECONFIG=/tmp/kubeconfig
          kubectl set image deployment/inference \
            inference=ghcr.io/${{ github.repository }}/inference:${{ github.sha }}
          kubectl rollout status deployment/inference --timeout=300s

Mock-Based Unit Tests

// tests/coreweave-service.test.ts
import { describe, it, expect, vi } from 'vitest';
import { deployInferenceModel } from '../src/coreweave-service';

vi.mock('@kubernetes/client-node', () => ({
  KubeConfig: vi.fn().mockImplementation(() => ({
    loadFromDefault: vi.fn(),
    makeApiClient: vi.fn().mockReturnValue({
      patchNamespacedDeployment: vi.fn().mockResolvedValue({ body: { status: { readyReplicas: 1 } } }),
      listNamespacedPod: vi.fn().mockResolvedValue({
        body: { items: [{ metadata: { name: 'inference-abc' }, status: { phase: 'Running' } }] },
      }),
    }),
  })),
  AppsV1Api: vi.fn(),
}));

describe('CoreWeave Service', () => {
  it('deploys inference model with GPU requests', async () => {
    const result = await deployInferenceModel('llama-70b', { gpu: 'A100', count: 4 });
    expect(result.status).toBe('deployed');
    expect(result.gpuType).toBe('A100');
  });
});

Integration Tests

// tests/integration/coreweave.integration.test.ts
import { describe, it, expect } from 'vitest';
import { KubeConfig, CoreV1Api } from '@kubernetes/client-node';

const hasKubeconfig = !!process.env.COREWEAVE_KUBECONFIG;

describe.skipIf(!hasKubeconfig)('CoreWeave Live API', () => {
  it('lists GPU nodes in namespace', async () => {
    const kc = new KubeConfig();
    kc.loadFromString(Buffer.from(process.env.COREWEAVE_KUBECONFIG!, 'base64').toString());
    const k8sApi = kc.makeApiClient(CoreV1Api);
    const { body } = await k8sApi.listNamespacedPod('default');
    expect(Array.isArray(body.items)).toBe(true);
  });
});

Error Handling

CI Issue	Cause	Fix
`KUBECONFIG_DATA` empty	Secret not set	Run `gh secret set COREWEAVE_KUBECONFIG --body "$(base64 -w0 kubeconfig)"`
Rollout timeout	GPU nodes unavailable	Increase `--timeout` or check CoreWeave GPU availability dashboard
Image pull backoff	GHCR auth expired	Verify `GHCR_TOKEN` secret and image registry permissions
Quota exceeded	GPU request exceeds namespace limit	Check namespace quota with `kubectl describe quota`
Pod pending	No matching GPU node type	Verify `nodeSelector` matches available GPU SKUs (A100, H100)

Resources

CoreWeave Kubernetes Docs
GitHub Actions Secrets

Next Steps

For deployment patterns, see coreweave-deploy-integration.