Traditional blockchain architectures were designed for homogeneous
transactions—simple transfers and basic smart contract interactions where every
node executes the same computation. However, the Web3 landscape is rapidly
evolving:
Complex Computations: Modern blockchain applications demand increasingly
sophisticated operations, from ZK proofs to ML inference
Specialized Hardware: Different types of computation benefit from
specialized hardware (GPUs, TPUs, FPGAs, ASICs)
Resource Intensity: Heavy computational tasks like proof generation or
model inference are inefficient when replicated across all nodes
Cost Efficiency: Forcing all nodes to execute all computations leads to
higher network execution costs and reduced throughput
This evolution demands a new paradigm: one where blockchain networks can
efficiently handle heterogeneous computation while maintaining security and
decentralization.
Resonance introduces a surplus-maximizing transaction
fee mechanism that efficiently matches user transactions with specialized
compute nodes. Unlike traditional blockchain architectures where all nodes
execute all transactions, Resonance enables:
Selective execution based on node specialization
Private, unique execution cost functions for compute providers
Efficient price discovery through sophisticated brokers
Our Ritual ↔︎ World integrations enable other
blockchains to tap into Ritual’s infrastructure as a backend for their own
execution, outsourcing their heterogeneous computation to Ritual’s optimized
execution environment.
Simple integration for any blockchain network via
Infernet or GMP
Out-of-the-box support for all types of compute (ZK, TEE, Chain Abstraction,
etc.)
Optimized pricing, routing, and execution via Ritual architecture
This unique architecture positions Ritual as the backbone for next-generation
blockchain applications. In the following sections, we explore three key
use-cases that showcase how Ritual’s infrastructure powers applications beyond
Crypto x AI:
Through these innovations, Ritual becomes more than just a platform—it evolves
into the schelling point for Web3’s most demanding computational needs, current
and future.