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Iry launches programmable data link test network to solve key bottlenecks in AI

Iry launches programmable data link test network to solve key bottlenecks in AI

Bitget2025/01/29 08:17

According to BlockBeats, on January 29, according to official news, Irys launched the first programmable data chain tailored for AI, with a local EVM execution layer and unlimited data capacity. The Irys test network reached 100,000 TPS, which is 6,000 times faster than Filecoin and 20 times cheaper than Arweave. Irys announced the launch of the test network of its programmable data chain, which is the first L1 blockchain designed to combine low-cost, scalable storage with EVM-compatible execution, aiming to solve key bottlenecks in AI.

Josh Benaron, founder and CEO of Irys, said, "Irys aims to enable AI to achieve new application scenarios through programmability. AI can generate unlimited digital content, and blockchain ensures that this content is verifiable and scarce. Irys is more than just storage. It enables intelligent agents to communicate with each other, share memories, and break down isolated barriers. When agents can discover and learn from each other, they become exponentially smarter. This is just one of the application scenarios."

Irys is the first programmable L1 data chain that goes beyond the existing L1 model and is designed specifically for AI. By combining a low-cost storage layer with a high-performance, EVM-compatible execution layer (IrysVM), Irys achieves data programmability that has never been achieved by any other data chain. Irys was built by the Bundlr team, which successfully increased Arweave's daily transaction volume from 10,000 to 15 million and supports 98% of its activities. Irys has raised $8.9 million to date and is backed by Lemniscap, Framework Ventures, Primitive Ventures, and others.

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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