Fuel Ignition on EigenDA could reach 20k TPS per CPU core
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Argues Fuel Ignition on a hyperscale DA layer like EigenDA could push throughput to up to 20k TPS per core on a light architecture with low node requirements. Cites L2Beat TVL above $220M.
Key claims
Up to 20k TPS per CPU core
Fuel TVL >$220M per L2Beat
Are you ready for the era of hyperscale rollups anon?
Fuel Ignition on @eigen_da could mean pushing throughput to up to 20k TPS per CPU core, enabling massive performance on a light-weight architecture that keeps node requirements low and is ready for mass adoption.
The FuelVM that Ignition runs, provides a powerful & sleek DevEx with its domain-specific language @SwayLang.
It supports parallel execution and is purpose-built to vastly increase the potential design space for app developers.
Total value locked on @fuel_network according to @l2beat already sits at >220M and is still in up only mode.
As the team starts to experiment with @eigen_da, my bullishness (and soon the network's throughput) are too.
DYOR anon.
QUOTING @zerokn0wledge_
If you still don't understand why @eigen_da matters, think about the TPS an altVM rollup like @fuel_network could process if built on a hyperscale DA solution. Yes anon we're talking up to >20k TPS instead of 600. Wen altVMs on @eigen_da? Soon. But first we scale the EVM to i
If you still don't understand why @eigen_da matters, think about the TPS an altVM rollup like @fuel_network could process if built on a hyperscale DA solution. Yes anon we're talking up to >20k TPS instead of 600. Wen altVMs on @eigen_da? Soon. But first we scale the EVM to i
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