Services / Cloud Services
Cloud Services
AI-optimized infrastructure - built for intelligence workloads from day one
Overview
Cloud infrastructure designed for traditional workloads is not optimized for AI. GPU provisioning, model serving latency, inference cost management, and edge deployment patterns require a different architectural approach. NINtec's Cloud practice specializes in building cloud infrastructure where AI workloads are first-class citizens.
NINtec engineers hold active certifications and production delivery experience across AWS (SageMaker, Bedrock, EC2 GPU fleet), Azure (OpenAI Service, ML, AKS), and Google Cloud (Vertex AI, BigQuery ML, GKE).
CostlyzrEdge - NINtec's cloud cost optimization platform - applies AI to identify over-provisioned resources, rightsizing opportunities, and reserved instance strategies, typically delivering 20-35% cloud cost reduction within 90 days.
Why NINtec
- AI-first engineering methodology
- 30+ Fortune 500 clients
- 452 engineers across 30 countries
- Fully self-funded growth
Capabilities
How We Use AI
Claude generates Terraform configurations from architecture diagrams.
Claude reviews infrastructure code for security misconfigurations before deployment.
AI monitors cloud spend daily, flags anomalies, and generates rightsizing recommendations.
Windsurf enables safe cross-file refactors of large IaC codebases.
Technology Stack
AWS
EC2 (P4, G5 GPU), SageMaker, Bedrock, EKS, Lambda, RDS, S3
Azure
AKS, Azure ML, OpenAI Service, Azure Functions, Cosmos DB
GCP
GKE, Vertex AI, BigQuery ML, Cloud Run, Cloud SQL
IaC
Terraform, Pulumi, AWS CDK, Ansible
Containers
Docker, Kubernetes, Helm, Istio
Observability
Grafana, Prometheus, Datadog, OpenTelemetry
Case Study
30 major European retailers: Zero-downtime cloud migration for 50+ live store environments. NINtec engineered blue/green deployment with AI-driven traffic shifting and automated rollback - 30% overhead reduction.
Full case study