Janction (JCT) is the first Layer-2 blockchain designed to deliver verifiable, synergistic, and scalable AI services. By integrating key components of the AI production stack—models, GPU compute, data pipelines, and labeling—directly into smart contracts, Janction enables a decentralized and automated environment where AI workloads can be executed, monitored, and financially settled on-chain.

As demand for high-performance compute accelerates across artificial intelligence and machine learning, Janction introduces a decentralized alternative to traditional GPU providers. Its architecture enables global GPU aggregation, transparent billing, and verifiable execution, forming a trustless computing marketplace built for Web3 and AI developers.

What Is Janction?

Janction is a decentralized AI infrastructure network that connects GPU providers with AI users through a Layer-2 blockchain optimized for high-throughput, low-cost verifiable computation. The protocol allows anyone to contribute GPU resources to a global cluster, while enabling developers and enterprises to run AI workloads with guaranteed transparency, cost efficiency, and verifiable results.

The system integrates:

• AI Models — Managed and deployed through smart contracts.
• GPU Computing Power — Aggregated into a distributed pool of global resources.
• Data Feeding & Labeling — Embedded into the coprocessing pipeline for end-to-end AI training and inference.
• Automated AI Operations — Enforced through smart contracts to ensure reliability and accountability.

Key Facts

• Name: Janction
• Ticker: JCT
• Category: AI infrastructure / Layer-2 blockchain / DePIN
• Core Function: Decentralized, verifiable GPU marketplace for AI workloads
• Website: janction.ai
• Token Utility: Staking, payments, governance, and ecosystem incentives

How Janction Works

Janction operates through a Layer-2 solution that processes GPU-related computations, workload verifications, and resource settlements at high throughput and low cost. Smart contracts automate resource allocation, enforce execution integrity, and facilitate transparent economic coordination between GPU providers and AI users.

The platform’s design centers on two core components: the Janction cluster GPU pool and the Janction billing system.

Janction Cluster GPU Pool

This cluster system aggregates GPU resources from multiple independent providers into a unified, large-scale parallel computing network. It is designed to support enterprise-grade AI training and inference, while enabling dynamic workload distribution. Key mechanisms include:

• Resource Scheduling & Management: Efficient allocation of GPU units based on real-time supply and workload priority.
• Task Scheduling: Smart contract–driven assignment of compute tasks to available GPU clusters.
• Parallel Computing: Support for large-scale AI workloads requiring distributed compute.
• Load Balancing: Ensures optimal use of available GPU resources.
• Security & Resource Isolation: Protects providers and users through sandboxing and verification protocols.
• Fault Tolerance: Automatic detection and recovery from node failures.
• Proof-of-Work and Consistency: Verifies GPU output and ensures tamper-proof computational integrity.
• Cost Management: Optimizes pricing based on liquidity, demand, and computational intensity.

Janction Billing System

The billing mechanism is designed to transparently track resource usage and convert it into on-chain settlement units. It evaluates GPU time, energy consumption, workload complexity, and verification overhead to determine final billing amounts. Smart contracts automate fee collection and distribute payments to GPU contributors proportionally.

JCT Tokenomics

The JCT token aligns incentives across the Janction ecosystem:

• Staking: GPU providers stake JCT to participate and secure the network.
• Payments: AI users pay for GPU time, storage, and data services in JCT.
• Governance: Token holders influence protocol upgrades, resource allocation models, and marketplace rules.
• Ecosystem Incentives: Providers earn JCT rewards based on performance, uptime, and demand.

This model supports a self-sustaining economic loop where tokenized incentives encourage continuous expansion of the GPU pool while maintaining cost efficiency for users.

A Decentralized GPU Marketplace for the AI Era

Janction aims to build the world’s first fully decentralized, synergistic AI coprocessing market. By merging Layer-2 blockchain architecture with a global GPU network, the project creates an environment where AI operations become transparent, verifiable, and accessible at scale.

As AI adoption continues to surge, Janction’s distributed GPU marketplace positions itself as a critical piece of infrastructure—bridging decentralized compute, automated AI workflows, and trustless economic coordination.