Infrastructure for Private AI
AI Infrastructure, Secured.
Intelligence, Privatised.
Private AI infrastructure requires specialised design and implementation that enables secure, high-performance artificial intelligence workloads whilst maintaining data sovereignty and regulatory compliance.
At Cordant, we design and implement comprehensive private AI infrastructure that supports machine learning, large language models, and AI workloads through secure, scalable platforms that deliver AI capability without compromising data privacy.
We eliminate AI infrastructure complexity whilst implementing security frameworks that enable sensitive AI workloads, maintain data sovereignty, and ensure regulatory compliance across Australian privacy requirements.
Our private AI services encompass AI infrastructure architecture with GPU clusters and high-performance storage, secure AI platform deployment with data sovereignty controls, and AI operations and governance for ML lifecycle management.
AI Infrastructure Architecture
- Design comprehensive private AI infrastructure that supports secure AI workloads whilst implementing specialised compute, storage, and networking architectures optimised for machine learning, inference, and AI development workflows.
Our AI infrastructure architecture service includes:
- GPU cluster architecture design including NVIDIA DGX systems, A100/H100 deployment, and high-performance computing optimisation
- AI storage architecture with high-speed NVMe, parallel file systems, and data lake integration for AI workload performance
- Network architecture optimisation including InfiniBand, high-bandwidth interconnects, and low-latency networking for distributed training
- AI platform architecture using Kubernetes for AI, container orchestration, and microservices patterns for scalable deployment
- Data governance and lineage architecture with secure pipelines, model versioning, and AI asset management frameworks
- Security architecture design including data encryption, network segmentation, and access controls for AI workload protection
Secure AI Platform Deployment
Execute comprehensive private AI platform deployment that establishes secure, high-performance AI environments whilst implementing operational frameworks, security controls, and monitoring capabilities for sustainable AI operations.
Our secure platform deployment service covers:
- Private cloud AI platform deployment using OpenStack, VMware vSphere, and hybrid architectures with AI optimisation
- AI development environment setup including JupyterHub, MLflow, and collaborative platforms with version control integration
- Container platform deployment using Kubernetes with GPU scheduling, resource quotas, and AI workload isolation
- AI model deployment infrastructure including inference engines, API gateways, and load balancing for production services
- Monitoring and observability implementation with AI performance metrics, resource tracking, and cost allocation frameworks
- Backup and disaster recovery for AI models, training data, and development environments with business continuity protection
AI Operations & Governance
Establish comprehensive AI operations and governance frameworks that manage ML lifecycle, ensure compliance, and maintain operational excellence whilst enabling AI innovation and scalable model deployment across enterprise environments.
Our AI operations and governance service includes:
- MLOps pipeline implementation with automated model training, validation, and deployment workflows
- AI model lifecycle management including versioning, performance monitoring, and automated retraining procedures
- Data governance for AI including data lineage, quality management, and privacy protection frameworks
- AI compliance and risk management with model explainability, bias detection, and regulatory adherence
- Resource management and cost optimisation including GPU utilisation monitoring and workload scheduling
- AI security operations including model security, data protection, and threat detection for AI infrastructure
Why Choose Cordant
Private AI Infrastructure Expertise
Specialised knowledge of AI infrastructure requirements including GPU computing, high-performance storage, and AI-optimised networking
Security and Compliance Focus
Comprehensive understanding of AI security requirements including data sovereignty, privacy protection, and regulatory compliance frameworks
Enterprise AI Implementation Experience
Proven capability deploying private AI platforms that balance performance requirements with operational control and security
Ready to Implement Your Private AI Infrastructure?
Stop accepting public AI limitations and data sovereignty risks. Start private AI infrastructure implementation with specialised expertise and comprehensive security frameworks.