CRYNUX AT WORK: A MONTH IN REVIEW This past month brought meaningful progress across infrastructure, node performance, model support, governance, and tokenomics. Here’s a recap: • The Crynux EVM-compatible chain on NEAR, built using Aurora Virtual Chain infrastructure, was completed and node deployment began. • Crynux Node v3.5.0 introduced multi-GPU support, tensor parallelism, and a redesigned task engine built for larger models, faster inference, and more resilient node operation. • Smarter task timeouts went live, allowing Crynux Relay to use real performance data across hardware configurations and workloads to reduce unnecessary failures and unfair node penalties. • The latest Qwen 3.8 models became available through Crynux’s distributed GPU network, expanding support for advanced coding, reasoning, agentic tasks, and real-world workloads. • Crynux Node v3.5.1 added support for the upgraded staking and governance contracts, along with QoS diagnostics and improved emissions visibility in the Node WebUI. • On-chain DAO governance officially launched. A seven member DAO Council was selected through delegated voting, and the DAO Convener was elected. • The Crynux Thread Contest winners were announced, adding a strong collection of community created educational content covering Crynux and decentralized AI infrastructure. • $CNX tokenomics were updated to better align future emissions with real compute, network activity, and long-term growth. From stronger infrastructure to community led governance, each step strengthened the foundation for a decentralized AI network capable of supporting larger models, real applications, and a growing global compute ecosystem. And the work continues.

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