Introducing Load Network: The Largest Known EVM Transaction Size Limit of 492GB

Load Network, formerly known as WeaveVM, has announced the largest known EVM transaction size limit of 492GB, pivoting from an EVM compatibility layer for Arweave storage

Load Network, previously known for its WeaveVM initiative, has announced the largest known EVM transaction size limit of 492GB. This pivots the network, which began as an EVM compatibility layer for Arweave storage, into the "first onchain data center". With transaction size limits lifted, Load Network can now store 40% of Ethereum's ledger history or 300 hours of HD video in a single EVM base layer transaction.

Launched in late 2023, WeaveVM aimed to bridge Arweave's permanent storage with the EVM ecosystem. Since 2024, it has become the largest data protocol on Arweave by monthly transaction volume, processing approximately 5 million transactions per month. Serving as storage for prominent chains like Avalanche, Metis, and RSS3, and data availability for Dymension, the network has outgrown its original scope.

Now rebranded as Load Network, it provides storage, high-bandwidth compute, and seamless integration at a fraction of traditional costs, presenting itself as a drop-in "cloud service" for blockchains, data availability (DA) layers, and dApps.

Breaking the EVM Storage Barrier

Load Network's new transaction format dwarfs the kilobyte-scale limits of traditional EVM chains, bundling up to 492GB of data. To put this in perspective, a single Load transaction could encapsulate a complete Llama 3 70B AI model, several days of Celestia's throughput, or hundreds of hours of HD video.

Currently processing 40% more transactions than Celestia and boasting 700 times the bandwidth, Load Network brings data center-scale capabilities to the blockchain. This makes onchain storage a viable option for AI models, media, research datasets, and large-scale analytics use cases.

"EVM storage has typically been so slow and expensive that it pushes developers to offchain solutions. When the data and compute don't live side by side, there are harsh limits on the application feature set. The perception that the EVM is a simple decentralized calculator is false," says Decent Land Labs co-founder and CEO Benjamin Brandall.

Brandall further notes that "so far the storage bottleneck has limited the scope for what a dApp, chain, or data availability layer can really do."

Why Onchain Data Matters

Most EVM-based dApps today rely on centralized Web2 services like AWS for data storage due to cost and capacity constraints. This introduces familiar centralization risks and vulnerabilities, such as those highlighted by the recent Bybit hack.

Load Network eliminates this dependency by natively integrating storage and high-bandwidth compute, making data directly accessible within smart contracts. This also opens up possibilities for automation, such as decentralized agents that can easily interact with and react to onchain data changes.

The data is verifiable and onchain, not siloed behind a centralized endpoint that could be compromised or shut down.

The Load AVS Layer: Ethereum-Secured Data Guarantees

Load Network is expanding with an EigenLayer-powered "hot cache" AVS layer, which bridges the EVM front end and Arweave's permanent "cold storage." Capable of over 800x the combined egress of all rollups tracked by rollup.wtf, this layer ensures data availability with Ethereum-grade security.

It also sets the stage for a decentralized marketplace of bundling services, incentivizing operators to upload, cache, and serve data, further decentralizing the network's infrastructure.

About Load Network

Load Network is a EVM-compatible Layer 1 blockchain optimized for storage and high-throughput data availability. Through protocol-level integrations with Arweave and EigenLayer, it provides a performant, flexible and scalable data layer for EVM dApps, protocols and chains.

For more information about Load Network, please visit load.network or contact:

Benjamin Brandall

Co-founder & CEO

Decent Land Labs

[email protected]