Get in Touch

AI Architecture

Design scalable AI infrastructure for enterprise applications. Model serving, inference optimization, and production ML systems.

Enterprise AI Infrastructure

Production AI systems require thoughtful architecture that balances performance, cost, and reliability. We design AI infrastructure that scales from prototype to millions of predictions while maintaining the quality and speed your users expect.

Our architecture expertise covers the full AI stack—from model serving and inference optimization to data pipelines and monitoring systems. We build infrastructure that enables your data science team to iterate quickly while your ops team sleeps soundly.

Architecture Capabilities

  • Model Serving — High-performance inference APIs with auto-scaling and failover
  • Inference Optimization — Quantization, batching, and hardware acceleration
  • MLOps Pipelines — Automated training, validation, and deployment workflows
  • Feature Stores — Centralized feature management for consistency across models
  • Monitoring — Model performance tracking, drift detection, and alerting
  • Vector Infrastructure — Embeddings storage and similarity search at scale
100M+Daily Predictions
<50msP99 Latency
99.99%Uptime
Components

AI Infrastructure Components

🚀

Model Serving

Deploy models with REST/gRPC APIs, auto-scaling, and blue-green deployments for zero-downtime updates.

⚡

Inference Optimization

GPU/CPU optimization, model quantization, and request batching to maximize throughput and minimize cost.

📊

Monitoring & Observability

Track prediction quality, data drift, and system health with comprehensive dashboards and alerts.

🔄

CI/CD for ML

Automated pipelines for model training, validation, and deployment with proper versioning and rollback.

Need AI Infrastructure?

Let's design the architecture that will power your AI applications at scale.

Architecture ReviewAI Solutions