Endpoint nodes
Run local agents, lightweight inference, caching and authorized data processing. Offline operation depends on available local models, data and power.
Systems
Edge to region. Built to coordinate.
Organize home and enterprise devices, community GPU hubs and regional resources into a layered network. Place workloads where they fit, within capacity, energy, connectivity and security constraints.
AI concept · Not a project photograph or product specification01Three roles in one network
These are deployment roles, not fixed product specifications. Node counts, capacity and supported workloads require project-level validation.
Community & campus hubs
GPU micro-centers aggregate nearby workloads for shared inference, edge caching and resource coordination. Size them for concurrency, cooling and backup power.
Regional compute centers
Provide larger-scale training support, complex inference, distributed storage and cross-node operations, complementing edge clusters.
02Match workloads to resources
Distributed computing does not mean every task can be split or moved. Assess eligibility before comparing benefits and constraints.
Tasks & models
Choose local, nearby or regional execution based on model compatibility, data location, priority and latency budgets.
Data & storage
Design encryption, backups, sharding and recovery as required. Define key management, access permissions and recovery procedures.
Energy & workloads
Evaluate tariffs, available power and migration overhead for flexible tasks. Prioritize continuity for workloads that cannot be interrupted.
Hardware & connectivity
Match compute devices, accelerators, networks, cooling and power. Validate compatibility and sustained loads, not only peak specifications.
03A staged deployment
Start with a testable pilot. Expand using evidence from operation.
01 Assess
Inventory workloads, data, sites and power conditions. Define topology, budget and acceptance metrics.
02 Integrate
Select equipment, deploy software, configure connectivity and identity, and test models and interfaces.
03 Validate
Test load, fault isolation, backup recovery and energy use. Document measurements and their operating conditions.
04 Expand
Hand over documentation and operations. Add nodes according to capacity, cost and service-quality evidence.
04Four operating checks
Beyond performance: observability, recovery and maintainability.
Capacity
Track utilization, queue times and growth trends to anticipate expansion needs.
Health
Monitor temperature, storage, connectivity, drivers and power, with defined alerts and response ownership.
Models
Manage versions, permissions, release validation and rollback paths to protect production workloads.
Security
Retain access and operation records, exercise isolation and recovery, and review permissions regularly.
Explore DCP scheduling, energy matching and delivery, or submit your deployment scenario for review.