How Does Aptos Work?

AptosBFTv4 — a pipelined BFT consensus protocol that decouples transaction dissemination from metadata ordering, enabling parallel processing of block proposals, voting, and execution across epochs

AptosBFTv4 is an evolution of HotStuff (DiemBFT lineage). While optimized for throughput via pipelining, the underlying BFT pattern is well-established. Validators achieve sub-second finality through optimistic concurrency.

Block-STM — a parallel execution engine using software transactional memory that speculatively executes transactions concurrently and detects conflicts dynamically, achieving 160k+ TPS under low contention without requiring upfront dependency declarations

Block-STM is a genuine innovation in parallel execution. Unlike Solana's Sealevel which requires account declarations upfront, Block-STM uses optimistic concurrency control with multi-version data structures to detect and resolve conflicts at runtime. Published as a peer-reviewed paper.

Move Virtual Machine (MoveVM) — a bytecode verifier and execution environment for the Move language, which uses a linear type system (resources) to prevent double-spending and reentrancy at the language level

Move originated from Meta's Diem project. While the resource-oriented programming model is distinctive, it has been deployed across multiple chains (Aptos, Sui, Movement) and has 3+ years of production use. The safety guarantees (no reentrancy by construction) reduce smart contract risk.

Aptos staking rewards — inflation starts at 7% annually, declines 1.5% per year to a floor of 3.25%. Recent AIP reform halved rewards to 2.60% APR and introduced a hard cap of 2.1B APT total supply

Dynamic declining inflation with a floor is a standard pattern seen across PoS chains. The recent hard cap and reward halving are governance-controlled changes, not structurally enforced in immutable code.

Aptos base fee burn — 100% of transaction base fees are permanently burned (EIP-1559 style), with a recent 10x structural increase to gas fees at the protocol level to increase burn rate

Fee-based burn mechanism follows the EIP-1559 pattern established by Ethereum. The 100% base fee burn combined with the gas fee increase positions Aptos toward potential deflation at sufficient usage levels.

Aptos delegation pools — validators operate with a minimum stake threshold, and token holders can delegate a minimum of 11 APT to validators without running infrastructure, earning proportional staking rewards

Standard delegated proof-of-stake with delegation pools. The low minimum delegation (11 APT) lowers participation barriers. Approximately 100+ active validators with geographic distribution.

Validator centralization risk — with ~100 active validators and high infrastructure requirements for AptosBFTv4, stake concentration among institutional operators could enable censorship or coordinated actions. The delegation pool system helps but does not eliminate hardware barrier concentration.

Parallel execution edge cases — Block-STM's optimistic concurrency can encounter pathological contention patterns where many transactions conflict on the same state, causing cascading aborts and performance degradation under adversarial workloads

Staking economics disruption — the recent halving of staking rewards from 5.19% to 2.60% APR could reduce validator incentives, potentially causing smaller operators to exit and further concentrating stake among well-capitalized validators

Deflationary overshoot risk — the combination of halved inflation, hard supply cap, and 10x gas fee increase could create unexpectedly aggressive supply contraction during high-usage periods, potentially making transaction costs prohibitive for low-value operations

Move-to-Block-STM integration complexity — while Move's resource model prevents reentrancy, the interaction between Move's strict ownership semantics and Block-STM's optimistic conflict resolution introduces edge cases in transaction ordering that could produce unexpected state outcomes under high contention