Upbit lists Gensyn with KRW, BTC, and USDT pairs as trading starts June 30

Korea’s largest crypto exchange is opening its doors to Gensyn, and the timing says a lot about where the market’s attention is pointing right now.

Upbit will begin trading Gensyn, ticker $AI, in KRW, BTC, and USDT pairs starting June 30, 2026 at 16:00 KST.

For a project that only launched its mainnet on April 22, getting onto Upbit within roughly two months is a meaningful milestone.

What Gensyn actually does

Think of Gensyn as a marketplace for raw computing power, specifically the kind needed to train and run machine learning models.

Instead of renting server time from Amazon or Google, developers can tap into a decentralized network of GPUs distributed across the globe. The protocol connects those machines, coordinates the work, and verifies that it was done correctly, all without a central authority managing the process.

The $AI token is the economic layer on top of that. It handles payments between compute buyers and providers, and supports staking within the network. Circulating supply sits at approximately 1.3 billion tokens against a maximum supply of 10 billion.

The project’s first live application, Delphi, dropped on April 29, the same day as its token generation event. Delphi is a decentralized prediction market.

The funding history behind this launch

Gensyn has raised approximately $78 million to date, with a16z crypto, Galaxy Digital, and CoinFund among its backers.

Gensyn was already listed on Binance and Coinbase before the Upbit announcement.

What this means for investors watching $AI

The KRW pair creates a direct on-ramp for Korean investors who prefer to transact in local currency.

The risk side of the ledger is worth keeping in mind too. Circulating supply of 1.3 billion tokens against a 10 billion maximum means there’s a significant amount of supply that hasn’t entered the market yet. The project’s mainnet only went live in late April, which means the network is still early in proving out real-world compute demand at scale.

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