Technology
The physical, orchestration, and application layers behind every Valanor site.
Physical Layer
Orchestration Layer
The DAN (Distributed AI Network) agent network coordinates workload placement, power-aware scheduling, and fault tolerance across every Tier 1 and Tier 2 site — a single orchestration fabric spanning the entire fleet.
- 1.Compute Orchestration — workload placement across CPU/GPU tiers
- 2.Workload Scheduling — power- and latency-aware job dispatch
- 3.Model Serving — inference runtime for LLM, RAG, voice, and vision workloads
- 4.Network Fabric — BharatNet and site-to-site connectivity
- 5.Monitoring & Observability — real-time site and fleet health
- 6.Security & Compliance — data residency and sovereign AI guardrails
Why It Matters for Offtake Partners
A distributed fleet is only an advantage if it's orchestrated as one. That's what DAN does.
One integration, every jurisdiction
DAN routes inference workloads to in-country nodes automatically, so a single integration satisfies DPDP, NCA, and EU AI Act data-residency requirements everywhere Valanor operates — no market-by-market compliance engineering.
No queue
Power is pre-committed and nodes are pre-provisioned across the fleet, bypassing the 3–7 year interconnection queues offtake partners face going direct to hyperscale.
Elastic capacity across a live fleet
Every Tier 1 and Tier 2 node is pooled capacity, not a siloed site. Demand spikes route dynamically across the network instead of hitting a single-site ceiling.
Power-cost-aware routing
Workloads are routed toward the lowest marginal-cost power available across the fleet at any given time, passing energy-arbitrage efficiency back to the offtake partner.
Application Layer
AI Agent
Subscription access to deployed inference agents for individual workloads.
From $99/mo
AI Employee
TODO: confirm tier definition and pricing — no source data exists for this tier.
TODO: confirm exact deck/product figure
AI Company
Full-stack AI company deployment on Valanor infrastructure.
From $599/mo