Scaling Tezos with rollups
summary
Argues that Tezos scales by moving execution off-chain into optimistic rollups that publish state hashes to L1, using a proof-generating virtual machine (PVM) plus a faster execution VM, snapshotting every ~20s and targeting arbitrarily high throughput (aspirationally near 1M tps) by adding rollups. Implements a data-availability layer with 1 MB slots per block to boost inbox bandwidth, uses a dichotomy refutation game down to single “ticks,” and ships a transactional kernel (BLS support) with EVM/Michelson workstreams planned.
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chapters (9)
- 0:00Scaling Tezos with rollups
- 3:14Layer one limitations
- 7:29Optimistic rollups enable scaling
- 14:07Rollup subsystem architecture
- 21:14Rollup benefits and flexibility
- 22:24Developing on rollups
- 26:10WebAssembly support for rollups
- 37:47Rollup roadmap and opportunities
- 41:44Q&A on rollup safety








