Control plane / data plane separation
Keep orchestration, policy, and visibility centralized while keeping execution close to the compute resources themselves.
Axon Platform is the private backend for provisioning, orchestrating, and observing compute infrastructure — starting with GPU servers, built to extend to any node type you bring into the platform.
What the platform does
Provision
Register compute nodes into the platform and configure them for use.
Schedule
Place workloads intelligently across available resources.
Monitor
Track node health, resource usage, and job activity in real time.
Bill
Attribute usage and cost back to workloads, tenants, or teams.
Core philosophy
The platform is built to grow: beginning with GPU compute, extending into general bare-metal management, and eventually supporting whatever infrastructure profile each operator needs to run.
Keep orchestration, policy, and visibility centralized while keeping execution close to the compute resources themselves.
Expose a single, stable backend surface so management consoles, portals, automations, and node agents all integrate through the same contract.
Decompose scheduling, billing, monitoring, authentication, and provisioning into focused platform services that evolve independently.
Model nodes, resources, workloads, and usage at a level that works across GPU servers, bare-metal hosts, and future infrastructure types.
Architecture
Every operation flows through a fixed chain. Client requests enter through the API layer, get interpreted by Axon Core, are handed off to the right subsystems, and ultimately executed by a node agent running on the actual server.
Clients
Dashboards, portals, automations, and external integrations.
Axon API
Authenticated, versioned entry point for all control operations.
Axon Core
Central orchestration — interprets requests and coordinates platform services.
Scheduler / Billing / Monitor
Parallel operational subsystems each owning a focused domain.
Axon Node
Agent installed on each server — executes jobs close to the hardware.
Compute Resources
The actual GPU, CPU, or bare-metal capacity the platform manages.
Centralized control
Policy, routing, and visibility stay in one place regardless of how many node types or tenants the platform grows into.
Edge execution
Axon Node agents run directly on each server so jobs execute close to the hardware — no remote round-trips during execution.
One backend contract
Every surface — admin console, external portal, or internal automation — communicates through the same stable API layer.
Core modules
Each module owns a discrete area of responsibility so the platform evolves without accumulating coupling between infrastructure execution, financial tracking, observability, and access control.
Handles routing, authentication, and versioning for the control plane surface.
Central orchestration that coordinates workflows across the platform.
Allocates and places workloads across available compute resources.
Runs on servers close to the hardware, handling local job execution.
Tracks GPU resource inventory, state, and availability.
Provides metrics, health checks, and observability across the stack.
Captures usage and cost attribution for compute resources and jobs.
Implements authentication and role-based access control across services.
Roadmap
The initial focus is establishing a solid control plane for GPU servers. Later phases introduce billing workflows, multi-tenant isolation, and broader node type support — including bare-metal hosts for workloads like web hosting.
Phase 1
Auth, node management, resource tracking, and the foundational API layer.
Phase 2
Cost attribution and usage-based financial workflows across resource pools.
Phase 3
Account isolation, team-level access controls, and scoped resource visibility.
Phase 4
Extend beyond GPU servers — bare-metal hosts, storage, and further compute profiles.