AI Cloud Infrastructure, MLOps & GPU Orchestration.
Deliverables & Capabilities
GPU Cluster Architecture
Designing and scaling enterprise GPU instances on AWS Bedrock, Azure OpenAI, or GCP Sagemaker.
GPU auto-scaling • Cost optimization • 99.99% availability
Vector Database Setup
Deploying production Vector DB clusters optimized for billion-scale high-dimensional embeddings.
Pinecone / Pgvector • Sub-10ms latency • Hybrid indexing
MLOps & CI/CD Pipelines
Automated model testing, deployment, drift detection, and continuous retraining workflows.
Drift monitoring • Model registry • Automated deployment
Cloud Security & Compliance
Encrypted data pipelines, private VPC endpoints, and strict role-based access control.
Private VPC endpoints • Data encryption • SOC2 compliance
High-Availability AI Infrastructure Built for 99.99% Uptime
- ✓Cost-optimized AWS/Azure GPU cluster setups hosting private LLMs and AI workloads.
- ✓High-speed Vector DB clusters (Pinecone, Qdrant, Pgvector) with sub-10ms similarity queries.
- ✓Automated MLOps pipelines for model retraining, versioning, and latency monitoring.
- ✓Bank-grade VPC security, encrypted data pipelines, and HIPAA/SOC2 compliance.
Tech Infrastructure
Delivery Process
Scope & Discovery
We define precise technical specs and milestone costs.
Architecture & Wireframes
Designing database schemas and user interfaces.
Agile Development
Writing clean maintainable code with weekly live demos.
Testing & Launch
Production deployment, team training, and support.