Solaxy News: Positive Updates for $SOLX As DeepNet AI Draws Whale Interest
Solaxy News: Despite unstable market conditions, Solaxy ($SOLX) is hot right now, with its presale approaching $30 million. Its success can be attributed to its status as Solana’s first Layer-2 scaling solution, which was created to reduce network congestion and expedite transactions.
Meanwhile, with its own Layer-2 solution designed especially for AI applications, DeepNet AI ($DPN) might potentially attract interest. For decentralized AI-driven initiatives, it can end up becoming the project with the essential infrastructure.

Solaxy News: $SOLX Is Seeing Bullish Momentum as the Presale Hits $30M
A Layer-2 solution designed for Solana, Solaxy ($SOLX) reduces network congestion and speeds up transactions. Transactions are processed off-chain and bundled into “rollups” before being settled on the mainnet of Solana.
This method preserves Solana’s security measures while lessening the strain on the network. One noteworthy aspect is Solaxy’s proposed cross-chain bridge with Ethereum, which would increase its usefulness by facilitating asset transfers between the two ecosystems.
The recent $30 million presale for Solaxy indicates that while the market is now experiencing a rollercoaster, interest is still high.
However, maintaining the pace and effectively delivering a working Layer-2 network after launch would be crucial to its eventual success.
DeepNet AI Could Build The Future of AI on Blockchain
As the foundation layer for AI applications in the blockchain space, DeepNet AI may take the lead in the next blockchain evolution.
DeepNet is unique because it was introduced at the ideal moment, when global usage of AI is booming. Since more than 78% of businesses currently employ AI in their operations, there is a genuine market need, and the worldwide AI market is predicted to reach $1.3 trillion by 2030.
According to recent research, the AI agents economy is expected to rise at a 44.8% growth rate, from $5.1 billion in 2024 to an astonishing $47.1 billion by 2030. In the upcoming months, this might make DeepNet a popular topic.
The Layer 2 solution from DeepNet AI is designed to enable machine learning systems, agent economies, and dApps driven by AI that require decentralized, scalable, and quick infrastructure.
Better scalability, lower transaction costs, Ethereum Virtual Machine (EVM) compatibility, and access to the trillion-dollar AI market are the four primary advantages that the platform may provide.
Because it may let developers to move their Ethereum-based programs to DeepNet without having to start from scratch, the EVM compatibility is essential. This could open doors for the DeFi, CeFi, and NFT businesses to gain from advancements in AI.
Fundamentally, DeepNet AI is a Layer 2 blockchain designed especially for decentralized AI applications. This affordable, scalable infrastructure is tailored for machine learning and AI agents, which could create the perfect setting for creativity.
The upcoming mainnet launch of DeepNet may generate excitement.
With their testnet already operational and processing more transactions every day, DeepNet AI is rapidly gaining traction.
Users may become more excited as the mainnet debut approaches. There are reports that DeepNet may soon be listed on a centralized exchange, and it is currently listed on Dexscreener with active trading on Uniswap.
The Bottom Line
Better blockchain scalability is clearly needed, as evidenced by Solaxy’s successful presale. With its impending Ethereum integration, the company may soon take even more significant steps.
Conversely, DeepNet AI might enter the AI craze at the ideal moment. Excitement is growing quickly as the mainnet launch approaches, and its Layer 2 solution may end up being the preferred platform for AI-driven apps.
This article does not offer financial advice. Cryptocurrencies can be unpredictable and carry risks. It is important to conduct thorough research before acquiring any crypto asset. Forward-looking statements carry risks and are not guaranteed to be updated.
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