Enterprise AI Clients
AI companies, developers, research labs, and enterprises submit demand for training, inference, rendering, and data services.
Architecture Layers
API Gateway
Receives workload requests and organizes platform-side access for present and future compute services.
Authentication Layer
Secures account access, user sessions, admin controls, and protected infrastructure dashboards.
Workload Scheduler
Routes workloads based on capacity, priority, workload type, and infrastructure availability.
Node Management Engine
Tracks virtual compute node activity, package configuration, status, and compute weight.
Compute Resource Pool
Represents pooled infrastructure capacity, virtual nodes, and future dedicated compute allocation.
Monitoring Engine
Records uptime, network activity, workload state, utilization, and performance signals.
Validation Layer
Supports workload verification, cycle integrity, and activity review before reward calculations.
Reward Calculation Engine
Calculates estimated compute rewards using node package configuration, platform activity, workload availability, and operational performance.
Analytics Dashboard
Shows node performance, reward history, workload activity, team growth, and network performance.
Secure Wallet System
Supports deposit center, withdrawal center, transaction history, and operational audit records.
Current vs Planned Features
ActiveUser accounts, virtual node packages, dashboard analytics, deposits, withdrawals, reward records.
BetaDemo workload feed, operations center visuals, public infrastructure metrics, promotion tooling.
RoadmapEnterprise API access, dedicated compute allocation, advanced workload validation, external telemetry.
Some modules may be active, simulated, beta, or roadmap-based depending on platform development stage.