What is an Aptos RPC Node?
Access the safest high-performance blockchain
An Aptos RPC node provides applications with access to Aptos blockchain through REST API endpoints, enabling Move smart contract interactions, account operations, and transaction processing. Aptos's unique architecture combining Move's safety with parallel execution creates a platform optimized for both security and performance.
What makes Aptos special
Aptos was built by the original creators of Diem (Facebook's blockchain project) who brought years of experience building financial infrastructure at Meta. The result is a blockchain that doesn't compromise on safety while achieving extreme performance through innovations like Block-STM parallel execution and Move's formal verification.
Aptos advantages:
- Move language — formally verified, prevents common vulnerabilities
- Parallel execution — Block-STM processes independent txs simultaneously
- Sub-second finality — transactions confirm in milliseconds
- High throughput — 160,000+ TPS in testing
- Keyless accounts — Web2 login using Google, Apple ID
- Modular design — easy upgrades without hard forks
Move programming language
Move is a programming language designed specifically for secure asset management. Originally created at Meta for Diem, Move's resource-oriented architecture and formal verification capabilities prevent entire classes of smart contract vulnerabilities common in other languages.
Key Move features: resources can't be copied or implicitly discarded (prevents accidental asset loss), formal verification for mathematical proofs of correctness, and strong type safety preventing many runtime errors.
Aptos architecture:
- AptosBFT consensus for Byzantine fault tolerance
- Block-STM for optimistic parallel execution
- Move VM executes smart contracts safely
- Quorum Store for high-throughput transaction dissemination
- Sub-second finality for user transactions
Block-STM explained
Block-STM is Aptos's parallel execution engine. It optimistically executes transactions in parallel, detects conflicts, and re-executes conflicting transactions. This approach dramatically increases throughput compared to sequential execution.