Author: Delphi Digital
Compiled by: Glendon, Techub News
Since Delphi Digital’s last deep dive into Sui’s architecture, ecosystem, and token economics, the network has completed a number of key upgrades in its infrastructure and application stack. In this follow-up report, we will analyze key developments in its ecosystem, including the buildout of Bitcoin Finance (BTCfi) infrastructure, the growth trajectory of lending protocol Suilend, and the expansion of Aftermath Finance.
On the infrastructure side, the launch of Mysticeti v2 introduced a "Fast Path" for low-contention transactions, significantly reducing latency and rebalancing validator workloads. At the same time, Move VM 2.0 achieves significant execution improvements through advanced composability, region-based memory management, modular architecture, and enhancements designed to support more complex and dynamic on-chain logic.
At the same time, Sui’s scaling roadmap continues to improve as Pilotfish implements sharding to achieve true horizontal scalability and elastic validator configurations. These improvements are further enhanced by the implementation of a localized object-based fee market and MEV-aware optimizations including prioritized transaction submission and consensus block flow.
Ecosystem Updates
DEX trading volume on Sui has fallen from last quarter’s highs, but it can be seen that trading volume has increased after the WAL token of decentralized storage protocol Walrus went online on March 27.
BTCfi on Sui
BTCfi has recently become an emerging niche on Sui, bringing lending, staking, and yield-based elements to Bitcoin, which has traditionally been viewed as a passive collateral. According to DeFiLlama, the total locked value (TVL) in the BTCfi space has grown from less than $100 million to more than $4.5 billion, covering a variety of assets such as re-staking, pegging, and decentralized BTC.
At the end of 2024, Sui announced a partnership with Babylon Labs and Lombard Protocol to introduce native BTC staking through LBTC. LBTC is a liquid staking token minted directly by Lombard on the Sui and Cubist platforms, designed to help users manage deposits, minting, cross-chain, and staking. A few weeks later, in December 2024, Sailayer partnered with LBTC and WBTC to launch BTC re-staking opportunities for LBTC and WBTC. Prior to this, Lorenzo Protocol launched stBTC on Sui, a Babylon-powered liquid staking token designed to aggregate BTC returns and integrate with DeFi protocols such as Cetus and Navi. In early February 2025, Sui Bridge added support for wrapped BTC assets such as WBTC and LBTC, and since then, more than 587 BTC have flowed into the Sui DeFi platform.
To date, over $111 million in wrapped BTC has been deposited into Sui native protocols like Suilend, Navi, and Cetus.
DeFi Protocol on Sui
Suilend
Suilend is a lending protocol for the Sui ecosystem. In less than a year of operation, its annualized revenue reached $15 million in February 2024, of which 70% flowed into the SEND treasury. The treasury initially received 1.2 million SUI from “mdrop”.
Suilend also launched Steamm, an automated market maker (AMM) with an integrated money market component designed to maximize capital efficiency by depositing idle liquidity into the lending market. The protocol has a composable architecture that supports a variety of quotation systems, including constant product quotations, stablecoin professional quotations, and dynamic fee quotations based on market volatility. By allowing idle funds to generate income in the lending market while still being available for trading, Steamm improves capital efficiency and provides additional income to liquidity providers through its bToken mechanism.
Aftermath
MetaStables was incubated by Aftermath on Sui. As a vault system, it allows users to deposit cross-chain assets or native assets to mint stablecoins such as mUSD (pegged to the US dollar) and mETH (pegged to ETH), and plans to launch meta tokens such as mBTC in the future. It uses oracle-based exchange rates (such as Pyth) to trade between vault assets without slippage, avoiding the inefficiency caused by AMM slippage, and supports lending deposited assets to increase returns. The idea of MetaStables is to address the problem of liquidity fragmentation by promoting meta tokens and allowing users to earn mPOINTS.
In addition to MetaStables, Aftermath has also launched Perp DEX on testnet, an on-chain perpetual contract order book based entirely on Sui.
Walrus is now live
The decentralized storage protocol Walrus launched its mainnet on March 27, 2025, and completed a $140 million financing round led by Standardcrypto.
Walrus is a decentralized storage network built on Sui, designed to store a variety of data, from NFT assets, AI model weights to blockchain archives and website content. It can also act as a data availability layer for rollups, similar to Celestia or EigenDA. While Walrus leverages Sui for metadata and governance, it offloads storage tasks to a separate set of nodes, avoiding the overhead of Sui validators.
At the heart of Walrus is Red Stuff, a two-dimensional encoding protocol that enables efficient single-pass file encoding with robust data recovery capabilities. The system is secured through a staking-based WAL token incentive model, where nodes are rewarded for uptime and correct processing of data, and penalized for failures or malicious behavior. The breakdown of the WAL token economics is as follows:
Community reserve: 43%
Core Contributors: 30%
Walrus user airdrop: 10%
Subsidy: 10%
Investors: 7%
Technology Updates
Sui Core Development Project
Mysticeti V2 Update
Delphi Digital detailed Mysticeti v1 in a previous report (Sui Network: Unveiling the Mystery of Monolithic Competitors). It eliminates the need for block certification by embedding the submission rules directly into the DAG structure. This allows each block to be submitted with a theoretical minimum delay of only three rounds of messages, reducing Sui's consensus latency from about 1900 milliseconds (Bullshark testnet) to about 390 milliseconds. In addition, since only one signature is required per block, it reduces the CPU load on the validator, thereby improving execution throughput and responsiveness.
Mysticeti-FPC (v2) expands on Mysticeti-C (v1) and introduces a "fast path" for transactions that do not require full consensus, especially for common cases such as token transfers or NFT minting, which only involve assets owned by a single address. Instead of running a separate protocol (such as FastPay or Sui Lutris), Mysticeti-FPC embeds the fast path logic into the same DAG, avoiding additional messaging, redundant cryptographic operations, and post-consensus checkpoints.
Move VM 2.0 enhancements
Sui's Move VM v2 is a foundational optimization focused on execution efficiency and system composability. Core improvements include Arena Allocation, Package Caching, and Low Lock Contention, designed to reduce latency under load. Internal calls through cross-package pointer references (including system-level access) are now significantly faster.
In addition, the virtual machine introduces a multi-stage abstract syntax tree (AST) for verification, optimization, and execution, as well as link logic for cross-package virtual table parsing and updating, which simplifies modular development. Early benchmarks show that the speed of various execution paths has increased by 30% to 65%. This will enable Sui to expand to more complex, high-throughput use cases with Move VM v2.
Execution Sharding with PilotFish
Pilotfish is a horizontally scalable execution engine that breaks the bottleneck of Sui's original single-machine execution model. Traditionally, Sui validators are monolithic, handling consensus, data acquisition, and state execution on a single machine, limited by vertical scaling in terms of compute, memory, and storage.
Pilotfish breaks this whole thing down into three distinct layers:
Primary: The central coordinator that handles transaction ordering and consensus;
SequencingWorkers (SWs): scalable nodes responsible for extracting and routing transactions;
ExecutionWorkers (EWs): Horizontally distributed machines that store shards of the on-chain state and perform the actual execution.
Pilotfish's shard workload distribution:
Each transaction is routed to a specific sequencer worker.
Each on-chain object (i.e. state) is mapped to a specific executor.
Transactions that need to access objects across multiple shards are addressed through coordinated data exchange, a pull-based model where executors request remote states on demand. This maintains consistency without sacrificing parallel execution and ties in well with Sui’s lazy consensus design, which reaches consensus based on batched metadata rather than full transaction data.
This enables parallelism without shared memory, allowing compute-intensive workloads to scale linearly with available hardware. Benchmarks show that Pilotfish can achieve up to 10x throughput improvement using only 8 EWs compared to a baseline execution engine.
Horizontal scaling can pave the way for true elasticity in validator infrastructure. Unlike vertical scaling, which is strictly limited by hardware costs and provisioning delays, horizontal scaling allows validators to elastically launch general-purpose servers (such as 32-core servers on AWS or GCP) to handle spikes in demand. If traffic persists, validators can migrate to more cost-effective bare metal servers.
The impact is threefold:
Validator operations become hardware-agnostic: no special high-end configuration is required;
Infrastructure provisioning becomes elastic and programmatic: automatically scaling based on demand;
The design space opens up room for Sui-native innovations, such as Package-specific fee markets or priority queues, which are enabled by Sui's object-centric state model.
This will make Sui one of the few execution environments capable of absorbing consumer-grade transaction throughput without increasing centralization or compromising latency.
Implementing an Object-Based Local Fee Market
Sui uses a multi-dimensional reference gas pricing mechanism that divides fees into two main parts: computational fees and storage fees. So, how does Sui's local fee market work in the context of Sui objects?
Sui implements an object-based local fee market mechanism that is different from Ethereum and more similar to Solana's fee structure. Sui sets fees based on specific needs associated with a single object or asset. Each asset or application on Sui has an independent fee market, allowing local adjustments without affecting the entire network.
In contrast, Ethereum operates a unified global fee market where every transaction contributes to overall network congestion, leading to higher fees across the chain during periods of increased demand. Similarly, Solana uses a localized fee market system that adjusts fees around specific contentious state objects or accounts.
Sui further extends the concept of localization by associating fees directly with "objects" rather than "state". By associating fees with specific objects, Sui can process transactions involving different assets in parallel, avoiding fee interactions or congestion overflow. This isolation means that new applications can reach a high level of activity even if other applications on Sui are already very active. For example, popular trading pairs on a DEX can independently adjust fees based on their own needs. In this way, Sui's local fee market with object-level granularity is fairer to its user base and more efficient for its developer base.
Standard Balanced Totalizer
Sui's "Canonical Balance Accumulators" use an object-based design, where balances are on-chain Move objects. These objects are not abstract concepts inside the contract, but independent, verifiable state objects. This setup enables transaction-level parallelism because execution only relies on access to specific objects, not shared global storage.
Ethereum uses a centralized map to track balances in ERC-20 contracts. Every transfer triggers shared state, which hinders parallelism and ties composability to contract-specific logic. Each token has its own implementation, often with integration edge cases.
Solana handles balances through token accounts, which facilitates parallel execution. However, developers need to specify all accounts in advance for each transaction. This creates resistance to building modular systems and limits flexibility under dynamic conditions.
Sui simplifies this process. Standardized balance objects and managers like "BalanceManager" provide a clean way for protocols to track and modify balances without owning state. Execution is horizontally scaled by default, and balance logic is portable across modules without being wrapped in custom interfaces. It is clearer to build and unlock with object-level fee markets, isolation, and composability without coordination overhead.
Multi-signature account implementation
Sui's multi-signature implementation is based on a weighted k-of-n signature model. Each signer is assigned a weight, and the transaction is executed when the sum of all weights reaches or exceeds a preset threshold. This allows for flexible signing policies, such as requiring 2 out of 3 signers, or forcing one key to always sign with the others to implement a setup similar to two-factor authentication (2 FA).
Sui's approach is unique in that it supports heterogeneous key schemes in the same multi-signature. Users can mix Ed25519, secp256 k1, and secp256 r1 keys in a single identity verification object, opening up more composable wallet and custody designs without the need for specialized tooling.
Unlike threshold signatures, which compress approvals into a single opaque signature, Sui's multi-signature discloses which keys signed which approvals. This improves auditability and cross-party coordination without the need for a complex multi-party computation (MPC) setup. As a result, it is easier to reason about, easier to rotate participants, and natively compatible with the Sui transaction model.
Sui on MEV development
Priority transaction submission
At the execution level, Sui resolves conflicts on shared objects through a gas-based priority mechanism. Priority Gas Auctions (PGAs) act as the main coordination layer. Since Sui's execution is object-centric and transactions that modify the same object must be serialized, PGAs act as a congestion pricing mechanism, which is particularly useful in the case of object hotspots or DEX volatility.
SIP-19 introduces a soft bundling mechanism where groups of transactions assembled off-chain are submitted as a unit. This enables reverse auctions (e.g. via Shio) where searchers can bid to attach their transactions to bundles with a high probability of execution.
SIP-45 adds a consensus amplification feature. Transactions with a gas price exceeding kx RGP will be submitted multiple times by different validators, effectively amplifying their presence in the consensus. This reduces volatility caused by desynchronization of validators or leader rotation, and ensures that gas prices accurately reflect inclusion priority, thereby suppressing spam and improving fairness.
Mysticeti Block Streaming
One of the most interesting upgrades Sui is working on is Block Streaming. Full nodes will be able to subscribe directly to consensus blocks, providing access to pending transactions with a latency of less than 200 milliseconds before they are finalized. This reduces the advantage of co-located searchers and makes access to MEV opportunities more democratized.
Unlike off-chain relays, it is permissionless and open. It also provides third-party nodes with a deterministic view of transaction ordering, allowing speculative execution, arbitrage, and buyback logic to run in near real-time.
Time-lock encryption is being planned to help Sui deal with harmful MEVs, and MEV revenue distribution models are also being explored. Incentives will benefit validators, applications, and users, not just searchers.
DevX Updates
Sui has some DevX improvements. Move Registry formalizes dependency management by supporting named and versioned imports of packages on-chain, eliminating fragile address-based links. Key frameworks and libraries are being open sourced and provided with registry support, allowing developers to safely write and upgrade applications. In addition, Sui also provides programmable transaction blocks (PTB) replay and Move tracing capabilities for deep debugging support, allowing developers to step through transaction execution and pinpoint failure states in multi-call flows.
in conclusion
Sui had quite a few highlights in the last quarter. Mysticeti v2 and Pilotfish are not just regular upgrades, they will change how Sui processes transactions under load and how validators run their infrastructure. Move VM 2.0 also brings many improvements for developers building modular applications. Together, these improvements push Sui towards a direction where it can truly support high-frequency use cases without adding coordination overhead.
In terms of the ecosystem, BTCfi is clearly becoming a wedge and may be favored by institutions. Protocols like Suilend and Aftermath are experimenting with new primitives that are natively compatible with the Sui architecture, such as object-based stablecoins, AMM lending hybrids, meta tokens, etc. The interesting part now is to see how the fee market behaves when demand surges, whether MEV tools like soft bundling or blockflow will be adopted by seekers, and how infrastructure like Pilotfish changes validator economics in practice.
In addition, Delphi Digital has noticed an increase in institutional interest, and Canary Capital has submitted an application for the Canary SUI ETF in the first quarter. Earlier, it was reported that financial institutions such as Grayscale, Franklin Templeton, VanEck, Libre and Ant Financial were also involved, and they all launched related investment products on the Sui network, from tokenized funds to exchange-traded notes (ETNs).
