Cloud Architecture & DevOps
Scalable, cost-efficient cloud infrastructure built to handle the compute demands of AI workloads.
AI workloads have different infrastructure demands than typical web apps — GPU provisioning, inference scaling, vector databases, and cost control at the center. We design cloud architecture and CI/CD that handles both your application and your AI workloads efficiently.
How we work
Assess current infrastructure and cost → Design for scale and AI workload demands → Automate deployment and scaling → Optimize cost continuously.
Benefits & deliverables
- ✓ Infrastructure sized for GPU/inference workloads, not just web traffic
- ✓ CI/CD pipelines with automated testing and rollback
- ✓ Cost optimization across compute, storage, and inference
- ✓ 24/7 observability and alerting
Technology we use
AWS
Azure
GCP
Kubernetes
Terraform
GitHub Actions
Frequently asked questions
Yes — cost audits and optimization are a common standalone engagement, often paying for themselves within a quarter.
Yes, though we'll be upfront if a single-cloud setup is simpler and cheaper for your specific needs.