The Ethereum Layer 2 scaling solution MegaETH has officially announced its mainnet launch date for February 9, 2026. This follows an extensive stress test where the network processed approximately 10.3 billion transactions, achieving throughput ranging from 10,000 to 22,000 transactions per second (TPS). The final phase of testing aims to process a total of 11 billion transactions at a sustained rate of 15,000–35,000 TPS.
The launch represents a pivotal real-world test for Ethereum's scalability, moving the protocol from testnet to a live production environment where real value is at stake. The network's core promise is to deliver real-time finality and dramatically higher transaction throughput compared to the Ethereum base layer, directly addressing network congestion and high gas fees.
MegaETH has secured significant funding, raising $30 million in a seed round from prominent investors including DragonFly Capital, Robot Ventures, and Ethereum co-founder Vitalik Buterin, as well as through an Echo round. An additional $50 million was raised via a token sale, resulting in a fully diluted valuation of $999 million. The project's native token, $MEGA, is trading pre-market at around $0.20, implying a fully diluted valuation of approximately $2 billion on the Hyperliquid derivatives platform.
The network will be available for application deployment from day one, targeting high-performance use cases such as gaming. Applications like Showdown TCG, Stomp GG, and Smasher provided frontend load during testing, while backend stress was generated using tools like Kumbaya, simulating ETH transfers and V3-style automated market maker (AMM) swaps.
Industry analysts are closely monitoring the launch for its technical execution and immediate network effects. A smooth deployment could bolster confidence in the broader Layer 2 ecosystem and potentially trigger a migration of liquidity and developer activity. The mainnet will undergo scheduled maintenance after launch, with infrastructure performance continuously evaluated based on user demand.
