AI Startup GPU Kubernetes Platform
The Challenge
AI startup needed production Kubernetes infrastructure on Vultr with managed GPU nodes for machine learning workloads. Existing PHP application needed containerization and modern CI/CD. No security scanning or image signing in place. Required fast iteration for AI model training and deployment.
What We Built
Technology Stack
Security & Compliance
- Container images scanned for vulnerabilities before deployment
- All images cryptographically signed with Sigstore
- Secrets stored in external secrets operator (AWS Secrets Manager)
- GPU workloads isolated with Kubernetes namespaces and RBAC
- Runtime security monitoring for anomalous GPU usage
The Results
Production Kubernetes platform with GPU support live in 5 weeks
PHP application modernized and containerized
CI/CD pipelines reduced deployment time from hours to minutes
100% of container images signed and verified
Cost-optimized GPU autoscaling saved 40% on infrastructure spend
Why catdev?
AI startups need specialized infrastructure expertise—GPU orchestration, cost optimization, and fast iteration cycles. catdev delivered a platform that handled GPU workloads efficiently while maintaining security standards that would scale with the company's growth and eventual SOC2 certification.
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- Delivered production-ready pipeline meeting all PCI DSS and FFIEC requirements
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