Megaeth: The first real -time blockchain that seeks to match Web2
By Canuto
Megaeth, presented by Megalabs, proposes to build the first real -time blockchain compatible with EVM to carry latencies of milliseconds and yield comparable to web servers2. The project combines specialized nodes, powerful sequencers and holistic engineering techniques to overcome current bottlenecks in execution, state synchronization and gas limits.
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- Megaeth proposes specialized nodes (Sequencer, Prover, Replica, Full) to climb performance and maintain validation without trust.
- According to Megaeth, Revm reached ~ 14,000 tps in historical synchronization, but the real limits come from I/O and structure of the State Trie.
- Key problems: latency of access to the State, limited parallelism (<2), high -band state synchronization and conservative block gas limit.
🚀 Megaeth arrives, the first blockchain in real time.
Compatible with EVM, promises latencies of milliseconds and yield close to web2.
With specialized nodes, it seeks to eliminate current bottlenecks in state execution and synchronization.
Its objective: allow … pic.twitter.com/ibehfifxhi
– Diario ฿ Itcoin (@diariobitcoin) October 3, 2025
Megaeth, presented by Megalabs, proposes a Blockchain compatible with EVM designed to offer real -time yield and millisecond latencies even under high loads. The project argues that the gap between blockchains and web2 servers can be closed with an engineering approach that goes beyond isolated optimizations. According to Megaeth, its objective is to push the performance to the limits of the hardware and allow great demand DAPPS as autonomous worlds or high frequency trading on-chain.
For new readers, the term “blockchain in real time” describes a LEDger capable of processing and publishing updates as soon as they arrive, with high capacity for transactions and sufficient computing capacity to maintain experience under demand peaks. Megaeth states that this requires reimagining both the architecture of nodes and the mechanisms of execution and synchronization of state.
Why other blockchain and performance challenge
Megalabs observes that the proliferation of new chains does not solve the scalability problems alone. The organization cites data that there are more than 120 documented projects in the Layer-2 ecosystem, but argues that each chain imposes limits on the DAPPs it houses.
As an example, Megaeth highlights that OPBNB reaches an objective gas of 100 mgas/s, which is equivalent, according to its calculations, only 650 Uniswap exchanges or 3,700 ERC-20 transfers per second. In contrast, benchmarks of database servers such as TPC-C already exceed 1,000,000 transactions per second.
The team also illustrates the limitation in computation with a contract that calculates the nth fibonacci number: that implementation consumes approximately 5.5 billion gas for n = 10^8. At 100 mgas/s, OPBNB would take 55 seconds to perform that calculation. An equivalent program would complete in 30 milliseconds, that is, 1,833 times faster with a single nucleus.
Finally, Megaeth emphasizes that many sophisticated applications require high update rates (ticks lower than 100 milliseconds) or orders cancellations in less than 10 milliseconds, unfeasible requirements in chains with long block times.
Nodes specialization: roles and hardware
Megaeth raises the heterogeneity of Nodes typical of L2 and defines four main roles: sequencers, testers (provers), replica nodes and complete nodes. Each role has different hardware requirements and specialized functions.
The sequencer acts as the main producer of blocks and executes transactions. Megaeth proposes that there is only an active sequencer at the same time to eliminate consensus overload during normal operation. This sequencer is designed to run on very high -end servers.
The replica nodes apply status difficulties sent by the sequencer without re-executing transactions; Instead, blocks validate indirectly by evidence offered by the testers. Complete nodes continue to re-ejecuting to obtain complete validation and rapid completion.
Megaeth details projected hardware requirements: Sequencer with CPU 100 nuclei and 1-4 TB memory; Prover (op) with CPU 1 nucleus and memory 0.5 GB; Replica Node with CPU 4-8 Cores and Memory 16 GB; Full node with CPU 16 cores and 64 GB memory. Megalabs accompanies examples of instances and costs: VM Example AWS R6A.48xlarge for Sequencer (USD $ 10 per hour), T4G.Nano for Prover (USD $ 0.004 per hour), IM4GN.XLARGE FOR REPLICA (USD $ 0.4 per hour) and IM4GN.4XLARGE FOR FULL NODE (USD $ 1,6 per hour).
Technical Challenges: Execution, Parallelism and Compilation
In transactions execution, Megaeth shows that EVM is not the only bottleneck. In experiments with Reth and Revm, a machine with 512 GB of RAM reached approximately 14,000 TPS during a historical synchronization. That figure indicates that access to the State and Trie updates explain much of the cost.
Megalabs identifies three fundamental inefficiencies in traditional EVM implementations: high latency of access to the State, lack of parallel execution and interload of the interpreter. By maintaining the state in abundant RAM, latency is reduced by reading from SSD, but the other challenges persist.
The parallel capacity available in recent Ethereum blocks turns out to be less than 2 on average; Even with artificial lots, average parallelism rises only to 2.75. These long units of dependencies limit the practical benefit of algorithms such as Block-STM.
Regarding Aot/Jit compilation, Megaeth points out that the maximum production in production is limited because about 50% of the time in Revm is spent on host and system options (Keccak256, Sload, Sstore) already implemented in Rust. Therefore, compilation improvements can be around 2x for real loads.
State synchronization, root updates and gas limits
Megaeth explains that synchronizing state at high rate is one of the most difficult challenges already underestimated. The equipment estimates that an ERC-20 transfer generates a state DIFF of about 200 bytes. To 100,000 transfers per second, that implies 152.6 Mbps of bandwidth only for DIFFS.
A unisswap exchange produces even larger diffs: 624 bytes per exchange, which for 100,000 exchanges per second sum 476.1 Mbps. Megaeth warns that nominal connections of 100 Mbps do not guarantee effective synchronization by Overhead of P2P networks and shared use of resources.
With assuming an average sustainable bandwidth of 75 Mbps and booking two thirds for other needs, Megaeth concludes that there are 25 Mbps for State Sync. In that scenario, 100,000 Uniswap exchanges would demand a 19X status compression.
The update of the state root in MPT type structures add I/O intensive. For a binary MPT with 16,000 million keys, the update of a key demands ~ 68 readings and 34 writings in the worst case. Although high levels reduces work, Megaeth shows that I/O Scale accounting up to millions of IOPS for high transaction rates.
As an example of optimization, NOMT groups sub -compes on 4 kb pages and reduces non -cacheted readings. Even so, Megaeth quotes Benchmarks of Thrum that indicate that a NOMT with 134 million keys manages up to 50,000 sheets of leaves per second, which remains 6 times lower than the capacity that Megaeth pursues, and also that state is 128 times smaller than the enlightened border case.
Finally, the block gas limit acts as an artificial brake that ensures that any block can be processed in block time. Megaeth argues that it is not enough to accelerate isolated components; It is also necessary to reconsider multidimensional prices models to reflect compilation costs, access to hot states and transaction priorities before aggressively increasing the gas limit.
Design philosophy and implications for industry
Megaeth defends a philosophy of “Measure, then build” and a holistic approach that pursues clean board designs aimed at approaching the limits of the hardware. The critical team partial optimizations that shine in microbenchmarks but do not affect end -to -end performance for end users.
The Node Specialization proposal allows you to set different hardware requirements per role, keeping the replica nodes accessible and allowing centralized but verifiable sequencers. Megaeth points out that this specialization can maintain validation without trust while improving the performance experienced by developers.
In its statement, Megalabs recognizes that many specific solutions exceed the scope of the publication and announces that it will publish technical details in future deliveries. Even so, research already shows concrete data on I/O limits, parallelism and synchronization costs.
If Megaeth’s ideas prosper, the industry could see on-chain applications with latencies and computing capacity close to web2. That would open new possibilities for autonomous worlds, real -time simulations and very low latency trading, provided that support infrastructure (RPC nodes, indexers) evolves in parallel.
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This article was written by an AI content editor and reviewed by a human editor to guarantee quality and precision.
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