Certain workflows execute within the customer’s network, while compute-intensive or specialized tasks (e.g., quantum solvers) run in remote secure environments.
Key Characteristics
• Sensitive workflows remain inside customer network (private cloud or on-prem)
• Compute-heavy operations, such as:
1. large-scale LLM inference
2. GPU-intensive optimization
3. quantum computing workloads run in ChordianAI’s secure remote compute layer
• Encrypted, policy-controlled data exchange
• Hybrid routing governed by the Hybrid Compute Router
• Granular control over what data or tasks may leave the local environment
Best For
• Enterprises balancing sensitivity and cost efficiency • Organizations wanting on-prem control with cloud elasticity for heavy AI workloads • Use cases requiring quantum compute integration while keeping sensitive data local

