Deployment Models

ChordianAI is engineered to operate across diverse enterprise environments, from fully managed SaaS to air-gapped on-premise deployments. Its modular architecture, isolation controls, and cloud-agnostic design ensure that organizations can adopt ChordianAI in alignment with their regulatory, security, and operational requirements.

ChordianAI offers four primary deployment models, each optimized for distinct enterprise needs:

SaaS Deployment (Fully Managed)

The SaaS deployment provides the highest degree of operational efficiency, scalability, and simplicity.

Key Characteristics:

• Fully managed by ChordianAI — including infrastructure, scaling, monitoring, resilience, and updates
• Automatic scaling across compute workloads (CPU/GPU/LLM/Hybrid)
• Multi-tenant isolation with separate namespaces per client
• SLA-backed availability, fault tolerance, and uptime commitments
• Region-specific hosting (EU, US, APAC) for data residency compliance

Best For: Enterprises prioritizing rapid adoption, cloud-mature organizations, non-regulated industries.

Private Cloud Deployment

The Private Cloud model offers customer-controlled infrastructure while retaining ChordianAI’s full orchestration capabilities.

Key Characteristics:

• Customer-owned infrastructure, deployed inside their VPC/VNet
• Full control over networking, access policies, firewall settings, and IAM
• Integration with internal systems via private connections (PrivateLink, VPC Peering, ExpressRoute)
• Optional customer-managed encryption keys (CMK)

Best For: Enterprises with strict compliance or internal security requirements, regulated industries.

On-Premise Deployment

For highly regulated institutions — banks, governments, defense, critical infrastructure — ChordianAI can be deployed fully on-premise.

Key Characteristics:

• Complete isolation with no outbound internet connectivity
• Air-gapped mode for maximum data protection
• Runs on customer-supplied hardware or secure on-prem clusters
• LLMs, solvers, and agents restricted to on-prem compute
• Offline update procedures using validated and signed packages

Best For: Banking & financial institutions, government agencies, defense and intelligence operators.

Hybrid Deployment

Hybrid deployment allows organizations to split workloads across environments — optimizing cost, performance, and sensitivity requirements.

Key Characteristics:

• Sensitive workflows remain inside customer network (private cloud or on-prem)
• Compute-heavy operations (large-scale LLM inference, GPU-intensive optimization, quantum computing) run in ChordianAI’s secure remote compute layer
• Encrypted, policy-controlled data exchange
• Hybrid routing governed by the Hybrid Compute Router

Best For: Enterprises balancing sensitivity and cost efficiency, organizations wanting on-prem control with cloud elasticity.