ZKsync Launches Airbender Prime Prover for Real-Time Ethereum Proofs
ZKsync (ZKUSD) has introduced Airbender Prime, a new prover capable of generating real-time Ethereum mainnet proofs on a single GPU. Built on the open RISC-V standard, the system combines real-time proving with an independent verifier and is engineered for post-quantum security.
In performance tests using a single NVIDIA RTX PRO 6000 Blackwell GPU, the system proved 99% of 7,200 consecutive Ethereum mainnet blocks in under 10 seconds each, with all blocks completed within 12 seconds. This capability lowers hardware requirements for proof generation while taking top ranking on the ETHproofs public leaderboard for average proving time, GPU efficiency, and cost.
Developers have also created real-time configurations for dual-GPU and four-GPU setups to support expanded scaling. Market participants will monitor how the technology performs in broader deployment as ZKsync trades at 0.01611 USD, down 0.74% today.
Key points
- ZKsync released Airbender Prime, demonstrating real-time Ethereum proofs on a single GPU.
- A single NVIDIA RTX PRO 6000 Blackwell proved 99% of 7,200 Ethereum mainnet blocks in under 10 seconds each.
- All 7,200 test blocks were completed within 12 seconds, including witness preparation.
- The prover leads the public ETHproofs leaderboard in average proving time, GPU efficiency, and cost.
- Real-time setups are also available for dual-GPU and four-GPU hardware configurations.
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How we writeDisclaimerQuestions and answers
What is ZKsync Airbender Prime?
Airbender Prime is a prover built on the RISC-V standard that generates real-time Ethereum proofs on a single GPU with post-quantum security.
How fast does Airbender Prime prove Ethereum blocks?
On one NVIDIA RTX PRO 6000 Blackwell GPU, it proved 99% of 7,200 consecutive mainnet blocks in under 10 seconds each, with all blocks finished within 12 seconds.
Does Airbender Prime support multi-GPU setups?
Yes, ZKsync has introduced real-time configurations for dual-GPU and four-GPU hardware setups while lowering proof generation requirements.
