Key Takeaways
Janction is an AI-focused Layer 2 blockchain network built on Arbitrum that connects GPU providers with AI teams, aiming to make distributed AI computing more accessible and affordable.
Janction uses smart contracts to automate and coordinate machine learning tasks, integrating AI models, GPU computing power, data feeding, and data labeling into a single co-processing system.
The Janction GPU Marketplace is a decentralized physical infrastructure network (DePIN) model that aggregates GPU capacity from multiple sources, including consumer hardware, to give users access to AI computing power at significantly lower cost than traditional cloud services.
Introduction
Training and running AI models requires significant computing power, and access to that power is typically controlled by a small number of large cloud providers. Janction aims to change this by aggregating idle GPU resources from around the world and making them available through a blockchain-based marketplace.
This article explains what Janction is, how its technology works, the role of the JCT token, and its listing on Binance Alpha and Binance Futures.
What Is Janction?
Janction is a distributed AI computing network that describes itself as the first Layer 2 to provide verifiable, synergic, and scalable AI services. It is built on Arbitrum, an Ethereum Layer 2 scaling solution, and is incubated by Jasmy Corporation, a Japanese data infrastructure company.
Instead of relying on centralized cloud providers such as AWS or Google Cloud, Janction aggregates GPUs from multiple sources, including personal computers, data centers, and other hardware, and makes that capacity available to AI teams and developers.
Janction is designed as a scalable web of blockchains that supports distributed AI multi-party collaboration and resource sharing. It provides underlying infrastructure for computing power trading, data trading, resource scheduling, verification, consensus, and security. Key elements such as AI models, GPU computing power, data feeding, and data labeling are all integrated into Janction for co-processing.
How Does Janction Work?
Janction addresses a few core technical challenges that arise when building a distributed, trustless AI computing network:
1. Resource scheduling and management
The Janction cluster GPU pool is a system for managing and allocating multiple GPU resources to support large-scale parallel computing. The system handles task scheduling, load balancing, resource security and isolation, fault recovery, and cost optimization. A key component is the colocation and arithmetic routing layer, which manages how GPU clusters are mixed and matched for different workloads.
2. Data acquisition
Janction can source data from both on-chain and off-chain environments. The platform compensates data providers fairly for their contributions, supporting a range of data types required for AI model training and inference.
3. Proof of workload
To build a credibly neutral computing network, Janction needs a way to verify that AI computation has been performed as promised. Its proof-of-workload mechanism provides on-chain verification of computing tasks, enabling financial incentives to be distributed fairly to GPU providers. This is conceptually related to how zero-knowledge rollups verify computation without revealing underlying data.
4. Incentive and gaming mechanism
Multiple roles participate in Janction's computing tasks, including data providers, data annotators, GPU providers, and AI model providers. Janction uses the Vickrey-Clarke-Groves mechanism (used in game theory) and workload correlation functions to price contributions fairly and ensure that all participants are incentivized to complete their required tasks.
5. Privacy
As data privacy regulations tighten globally, Janction integrates privacy-preserving techniques to enable AI model training and inference without creating data silos or exposing personal information. Jasmy's Sovereign Data Protocol is designed to align with the EU’s General Data Protection Regulation (GDPR).
Janction Use Cases
Janction currently supports the following AI workloads through its GPU network:
AI image generation: text-to-image generation for designers, advertisers, and social apps.
Speech-to-text and text-to-speech: automated subtitles, AI customer service, podcast narration.
Video enhancement and processing: 4K/8K upscaling, noise reduction, slow-motion smoothing, and old film restoration.
Object detection and image analysis: security surveillance, industrial defect detection, and autonomous driving support.
Private LLM hosting: organizations can run ChatGPT-style AI models privately within their own infrastructure, reducing costs and meeting compliance requirements for regulated industries such as finance, healthcare, and government.
What Is JCT?
JCT is the native token of the Janction network. It functions as the medium of exchange for computing power transactions, incentivizes GPU providers, and enables governance participation. The total supply of JCT is 50 billion tokens.
The token distribution follows a deflationary model with a structured vesting schedule designed to limit early sell pressure. The initial circulating supply at launch was approximately 12.7% of the total supply (around 6.35 billion tokens), unlocked for liquidity, community, and airdrop purposes. Full token circulation is expected by 2028.
JCT On Binance Alpha and Binance Futures
Janction (JCT) was listed on Binance Alpha on November 10, 2025, and Binance Futures also launched the JCTUSDT Perpetual Contract with up to 40x leverage on the same day.
FAQ
What problem does Janction solve?
Janction addresses the high cost and centralized control of AI computing power. Training and running AI models typically requires expensive GPU infrastructure managed by a small number of cloud providers. Janction aggregates idle GPUs from multiple sources into a shared marketplace, aiming to reduce AI compute costs significantly while distributing the economic benefits to hardware contributors.
What is the Janction GPU Marketplace?
The Janction GPU Marketplace is a decentralized platform where GPU owners can contribute their idle computing capacity in exchange for JCT token rewards. AI developers and teams can then access this pooled capacity for inference, training, and other AI workloads. The marketplace aims to provide unlimited GPU capacity at lower costs by aggregating hardware from many independent providers.
What blockchain is Janction built on?
Janction is built on Arbitrum, an Ethereum Layer 2 network. Using Arbitrum allows Janction to process high transaction volumes at low fees, which is necessary for the frequent micropayments made to GPU node operators. Jasmy Corporation's data infrastructure also integrates with Janction for privacy-preserving AI data handling.
What is JCT used for?
JCT is the native currency of the Janction network. It is used to pay for GPU computing tasks, reward data providers and node operators, and participate in protocol governance. The token has a total supply of 50 billion and launched on Binance Alpha in November 2025.
How is AI computation verified on Janction?
Janction uses a proof-of-workload mechanism that provides on-chain verification of AI computing tasks. This allows the network to confirm that GPU providers have performed the work they were paid for, and to distribute rewards accordingly. The system is designed to be trustless, meaning no central authority needs to verify the computation.
Closing Thoughts
Janction combines Layer 2 blockchain infrastructure with a decentralized GPU marketplace to address one of the challenges of AI development: access to affordable computing power. By integrating proof-of-workload verification, privacy-preserving data handling, and a structured incentive model, Janction aims to enable distributed AI collaboration at a scale that was previously difficult to achieve without centralized infrastructure.
Further Reading
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