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MegaETH architecture: single sequencer, in-memory state and JIT compilation

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Explains MegaETH as a validity rollup on EigenDA with a single sequencer, in-memory computation (about 1000x faster state access), parallel streaming execution publishing state every 10ms, JIT EVM compilation and a custom state trie.

Key claims
Over 100k TPS and under $0.01 tx fees
In-memory computing cuts state access latency by about 1000x vs disk
State published every 10ms
MegaETH is not your average rollup. MegaETH is built different. TL;DR ↓ → Validity rollup using EigenDA, achieving >100k TPS, <1ms latency, and <$0.01 tx fees. → Single-sequencer architecture that eliminates consensus overhead where full nodes verify state via cryptographic proofs without tx re-execution. → Sequencer nodes optimized with in-memory computing, reducing state access latency by ~1000x vs. disk-based systems. → Real-time parallel transaction execution with streaming concurrency control and prioritization, publishing state every 10ms. → Just-in-time (JIT) compilation translates EVM bytecode directly to machine code, removing interpreter overhead. → Custom-built state trie minimizes disk I/O bottlenecks, efficiently scaling to terabytes of state data while preserving EVM compatibility. DYOR on @megaeth anon ↓
QUOTING @a1research__
What does it mean to 'Make Ethereum Great Again' ? ✦ &gt; 100k Transactions per second ✦ &lt; 1ms Block time &amp; latency ✦ &lt; 0.01$ Transaction fees Meet ███████ a parallel EVM L2 backed by @VitalikButerin that recently raised a $20M seed round. Redacted Mega-🧵 full of alp
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What came next · since 28 May 2025

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