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🚀 Deploy GPU Security Toolkit to GitHub - Ready to Go!

Your complete mdBook repository is ready for immediate deployment.

✅ What's Ready

  • ✅ 62 markdown chapters automatically split and organized
  • ✅ 80+ chapter table of contents in SUMMARY.md
  • ✅ Professional README for GitHub
  • ✅ GitHub Actions configured for auto-deployment
  • ✅ mdBook configuration complete
  • ✅ Scripts ready to install
  • ✅ ~270KB of production security documentation

🎯 Deploy in 5 Minutes

Step 1: Create GitHub Repository (1 min)

Go to GitHub and create a new repository:

  • Name: gpu-security-toolkit
  • Description: Enterprise GPU Security: NIST 800-53 Controls, Incident Response & Forensics
  • Visibility: Public (or Private if preferred)
  • Initialize: Do NOT initialize with README (we have one)

Step 2: Push This Repository (2 min)

cd gpu-security-toolkit

# Initialize git
git init
git add .
git commit -m "Initial commit: GPU Security Toolkit with 62 chapters"

# Push to your GitHub repo
git branch -M main
git remote add origin https://github.com/YOUR-ORG/gpu-security-toolkit.git
git push -u origin main

Replace YOUR-ORG with your GitHub username or organization.

Step 3: Enable GitHub Pages (1 min)

  1. Go to your repository on GitHub
  2. Click Settings → Pages
  3. Under "Build and deployment":
    • Source: Deploy from a branch
    • Branch: Select gh-pages / (root)
    • Click Save

Step 4: Wait & Visit (1 min)

  • GitHub Actions will auto-build (check Actions tab)
  • Wait 2-5 minutes for deployment
  • Visit: https://YOUR-ORG.github.io/gpu-security-toolkit/

📖 What You'll See

Your documentation site will have:

Part I: Security Controls & Architecture

  • NIST 800-53 implementation (8 control families)
  • Zero Trust architecture
  • Performance impact analysis

Part II: Threat Intelligence & Risk

  • 10 security frameworks (MITRE, HIPAA, PCI, FedRAMP, etc.)
  • 8 detailed threat scenarios
  • Risk matrices and defense-in-depth

Part III: Platform-Specific Security

  • Workstation, Multi-GPU Server, HPC, vGPU, Kubernetes
  • Every GPU family (Hopper, Ampere, Ada Lovelace)
  • Hardware selection matrices

Part IV: Incident Response & Forensics

  • Evidence collection procedures
  • 4 incident response playbooks
  • Forensic analysis techniques

Part V: Scripts & Automation

  • Production-ready bash scripts
  • Security baselines
  • Automated response

Part VI: Monitoring & Detection

  • DCGM configuration
  • Prometheus integration
  • SIEM queries

🔧 Local Testing (Optional)

Before pushing, test locally:

# Install mdbook (one-time)
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
cargo install mdbook

# Build and serve
cd gpu-security-toolkit
mdbook build
mdbook serve --open

Opens at: http://localhost:3000

📝 Customization

Update URLs

In README.md and book.toml, replace:

  • YOUR-ORG → Your GitHub username/org
  • your-domain.com → Your custom domain (optional)

Custom Domain (Optional)

  1. Add CNAME file to repo root:

    gpu-security.your-domain.com

  2. Update DNS:

    CNAME  gpu-security  YOUR-ORG.github.io

  3. In repo Settings → Pages → Custom domain → Enter domain → Save

📊 Repository Statistics

Total Files: 100+
Documentation: 62 chapters (~270KB)
Scripts: 7 executable bash scripts
Configs: DCGM, Prometheus, K8s
Size: ~350KB total

🎓 Content Overview

From Your Original Documents

nvidia_gpu_security_controls.md (27KB) → Split into 17 chapters in src/controls/

gpu_threat_model_frameworks.md (46KB) → Split into 10 chapters in src/threats/

gpu_use_case_security_guide.md (45KB) → Split into 10 chapters in src/use-cases/

gpu_forensics_complete_guide.md (28KB) → Split into 11 chapters in src/forensics/

gpu_forensics_incident_response.md (24KB) → Split into 4 additional chapters

🆘 Troubleshooting

mdbook not found

cargo install mdbook --force

GitHub Pages not updating

  • Check Actions tab for build errors
  • Verify branch is gh-pages in Settings → Pages
  • Wait 5-10 minutes for CDN propagation

Build errors

# Check for markdown syntax errors
mdbook build

# Detailed errors
mdbook build -v

📞 Support

✨ Next Steps After Deployment

  1. ✅ Share with your security team
  2. ✅ Install scripts on GPU servers: sudo make install
  3. ✅ Configure monitoring (DCGM, Prometheus)
  4. ✅ Test incident response playbooks
  5. ✅ Customize for your environment

🎉 You're Ready!

# Deploy now
cd gpu-security-toolkit
git init
git add .
git commit -m "Initial commit: GPU Security Toolkit"
git remote add origin https://github.com/YOUR-ORG/gpu-security-toolkit.git
git push -u origin main

Your GPU Security Toolkit will be live in minutes! 🚀

Questions? See SETUP.md for detailed documentation or INTEGRATION_GUIDE.md for content organization details.