Because of Kevaundray Wedderburn, Alex Stokes, Tim Beiko, Mary Maller, Alexander Hicks, George Kadianakis, Dankrad Feist, and Justin Drake for suggestions and evaluate.
Ethereum goes all in on ZK. Ultimately we anticipate emigrate to utilizing ZK proofs in any respect ranges of the stack, from consensus layer signature aggregation to onchain privateness with consumer aspect proving, and improve the protocol to be less complicated and extra zk-friendly. However step one might be an L1 zkEVM.
How we are able to ship an L1 zkEVM in lower than a yr
The quickest and most secure approach to ship an L1 zkEVM is to start out by giving validators the choice to run shoppers that, relatively than re-executing execution payloads, statelessly confirm a number of (let’s say three) proofs generated by totally different zkVMs every proving totally different EVM implementations. As a result of proof verification is so quick and proof dimension so succinct, downloading and verifying a number of proofs may be very affordable and permits us to use the identical protection in depth as current consumer range to zkVMs.
For this plan to initially confirm execution proofs offchain, all we want from the protocol is a few type of pipelining in Glamsterdam to permit for extra proving time.
Initially, we anticipate few validators to run ZK shoppers. Over time, their safety might be demonstrated in manufacturing. With the EF additionally placing sources into formal verification, specification writing, audits, and bug bounties; we anticipate adoption will slowly enhance.
When a supermajority of stake is comfy operating ZK shoppers, we are able to enhance the gasoline restrict to a degree that might require validators operating affordable {hardware} to confirm proofs as an alternative of re-executing blocks. As soon as all validators are verifying execution proofs, the identical proofs can be utilized by an EXECUTE precompile for native zk-rollups.
Defining realtime proving for the L1
Our biggest benefit in executing this plan is the power to harness your entire zkVM business in direction of making Ethereum by far the biggest ZK utility on this planet. Many zkVMs are already proving Ethereum blocks and efficiency breakthroughs are being introduced on a weekly foundation.
So as to keep the safety, liveness, and censorship-resistance properties of the L1 the Ethereum Basis is proposing a standardized definition of realtime proving for zkVM groups to work in direction of.
On the proof system aspect, zkVMs focusing on realtime proving ought to goal for 128 bits of safety, which we contemplate the proper long-term goal for Ethereum L1. Nonetheless, we’re prepared to just accept a minimal of 100 bits of safety within the preliminary months of deployment, to accommodate short-term engineering challenges in reaching 128 bits. Proof dimension ought to stay underneath 300KiB and should not depend on recursive wrappers that use trusted setups. We anticipate proof techniques to maneuver to 128-bit safety by the point ZK shoppers are in manufacturing and to additional tighten safety necessities (e.g. relating to conjectures) as proving time decreases.
With the present slot time of 12 seconds and most time to propagate information throughout the community of ~1.5 seconds, realtime means 10 seconds or much less. We anticipate zkVMs to have the ability to show at the least 99% of mainnet blocks on this window, with the tail finish (in addition to artificial DOS vectors) mitigated in future laborious forks.
So as to keep the very best ranges of liveness and censorship resistance, our definition of realtime proving goals to allow “residence proving” with the concept a few of the solo stakers who at present run validators from residence will opt-in to proving. Although we anticipate to harden censorship resistance by way of enforced transaction inclusion earlier than verifying ZK proofs is made necessary, residence proving is a crucial ultimate safeguard.
Since proving within the cloud is already fairly low cost with multi-GPU spot situations, the main target for zkVM groups focusing on realtime proving will largely be optimizing for operating provers on-prem the place the specs are far more constrained. On-prem realtime proving ought to require a most capital expenditure of 100k USD (at time of writing it requires ~$80k in stake to run a validator). We anticipate this to come back down over time even because the gasoline restrict is elevated.
Greater than {hardware} value, probably the most vital constraint for residence proving utilizing GPUs is vitality utilization. Most residential properties have at the least 10kW coming into from the road and a few may have circuits meant for electrical home equipment or charging electrical autos with 10kW capability. Subsequently, realtime proving have to be attainable on {hardware} operating at 10kW or much less.
This brings us to our working definition of realtime proving:
Latency: <= 10s for P99 of mainnet blocksOn-prem CAPEX: <= 100k USDOn-prem energy: <= 10kWCode: Totally open sourceSecurity: >= 128 bitsProof dimension: <= 300KiB with no trusted setups
The race to realtime
Between now and Devconnect Argentina, we hope to see zkVM groups proceed innovating in direction of realtime residence proving, and for the main zkVMs to change into future core infrastructure for Ethereum.
