Triangle Tokens

Triangle Tokens

Tokens for AI

// DOCUMENTATION

Protocol documentation

Operational reference for the Triangle Tokens compute aggregation protocol — orchestration, energy integration, scaling and roadmap.

// OVERVIEW

Executive Concept

Triangle Tokens functions as a decentralised hyper-orchestrator. It abstracts the world's fragmented compute capacity into a single marketplace.

By pooling infrastructure from US hyperscalers, sovereign government supercomputers and boutique data centers, the protocol resolves the global compute shortage for frontier AI labs.

// ARCHITECTURE

Compute Orchestration Engine

A unified abstraction layer built on specialised Kubernetes distributions to manage workloads across diverse architectures, including seamless switching between Nvidia CUDA and AMD ROCm pipelines.

Real-time routing algorithms match AI training and inference jobs to data centers based on current token cost, hardware proximity, thermal efficiency and grid carbon intensity.

// INTEGRATION

Energy & Hardware Suite

Silicon diversity spans Nvidia H100/B200, AMD Instinct, Huawei Ascend and Dell PowerEdge server chassis.

Centrica Business Solutions provides CHP units for baseline uptime, integrated Solar PV arrays for grid offset, and industrial heat pumps that repurpose server exhaust into district heating networks.

// SCALING

Operational Strategy

Hardware-agnostic runtime abstraction ensures a model compiled for one architecture can instantly execute on another if spot availability shifts.

Dynamic financial clearing markets allow corporations to resell future token allocations when training completes ahead of schedule.

Centrica green credentials feed directly into ESG marketing for AI labs under regulatory scrutiny.

// ROADMAP

Forward expansion

Token Ledger Logic

Smart contract architecture for tokens.triangleos.com transaction logging.

Sovereign Compliance

Legal framework for cross-border code & data flow (US hyperscaler vs EU sovereign).

Cross-Architecture Perf.

Model efficiency optimisation on mixed Nvidia / AMD / Huawei deployments.