AI Infrastructure
AI Cloud & AI Hosting
Purpose-built infrastructure for AI inference, RAG architectures, and secure AI application hosting. Engineered for production AI workloads requiring performance, security, and operational reliability.
Discuss AI RequirementsAI Inference & Application Hosting
Zartec Host provides hosting infrastructure designed for production AI workloads: model inference serving, retrieval-augmented generation (RAG) pipelines, vector database deployment, and AI-enabled applications requiring GPU acceleration or high-throughput compute.
Model Inference Hosting
Dedicated infrastructure for serving AI models in production. GPU-accelerated compute for transformer models, optimized inference engines, model versioning, and A/B testing deployment patterns.
- • GPU selection matched to model requirements
- • Model versioning and canary deployments
- • Inference latency and throughput monitoring
- • Auto-scaling based on inference demand
RAG Pipeline Hosting
Infrastructure for retrieval-augmented generation architectures: vector database deployment, embedding model hosting, document ingestion pipelines, and orchestration for multi-stage RAG workflows.
- • Vector database deployment (Pinecone, Weaviate, etc.)
- • Embedding model inference hosting
- • Document processing pipeline orchestration
- • Context retrieval performance optimization
Secure Model Deployment
Security patterns for AI workloads with sensitive data or proprietary models: encrypted model storage, access control for inference endpoints, audit logging, and data isolation boundaries.
- • Encrypted model storage at rest
- • API authentication and rate limiting
- • Inference request audit logging
- • Network isolation for sensitive workloads
AI Application Hosting
Full-stack hosting for AI-enabled applications: API gateway integration, application runtime hosting, database deployment, and observability for both application and AI components.
- • Application runtime and dependency management
- • API gateway with authentication
- • Database and cache layer deployment
- • End-to-end request tracing and monitoring
AI-Assisted Operations
We leverage AI for operational tasks: anomaly detection in monitoring data, automated alert triage, security log analysis, and capacity forecasting. AI assists human operators, not replaces them.
Anomaly Detection
Machine learning models trained on normal system behavior to detect anomalies in metrics, logs, and traces before they escalate to incidents.
Alert Routing
Intelligent alert routing based on historical incident data, on-call schedules, and alert characteristics to reduce noise and improve response time.
Security Analysis
AI-assisted security log analysis to identify suspicious patterns, potential intrusions, and policy violations across large volumes of audit data.
Capacity Forecasting
Predictive models for resource utilization forecasting, enabling proactive capacity planning and cost optimization.
Responsible AI Hosting
Hosting AI workloads requires careful attention to data handling, model security, and operational boundaries. We provide infrastructure patterns that support responsible AI deployment.
Data Handling Posture
Clear data handling boundaries: training data segregation, inference request logging policies, data retention controls, and data deletion procedures. Your data remains your data.
Model Security
Proprietary models are treated as sensitive intellectual property: encrypted storage, access control, deployment isolation, and audit logging of model access.
Operational Transparency
Clear operational boundaries: who has access to what, how models are deployed and versioned, what telemetry is collected, and how incidents are handled.
Ready to Deploy AI Infrastructure?
Discuss your AI hosting requirements with our solutions architecture team.