Jeeya_Awan

By early 2026, the Walrus protocol had transitioned from development to large-scale deployment, becoming a dedicated, high-performance decentralized storage layer, particularly within the Sui ecosystem. Hailed as a "silent giant" in the Web 3 space, Walrus is designed to handle massive amounts of data, including AI models, non-fungible tokens (NFTs), and in some cases, 4K video, with performance comparable to centralized service providers.

• The following are key deployment achievements of Walrus Protocol:
1. Major Deployments and Partnerships:
✓ Artificial Intelligence & Data Economy: Sui has designated the Walrus protocol as the storage layer for its verifiable AI economy (launching in early 2026), providing auditable and tamper-proof datasets for AI models.
✓ Media & Content: Decrypt has adopted the protocol to store articles, videos, and images, ensuring content is protected from tampering.
✓ Real Asset Tokenization (RWA): Plume Network has partnered with Walrus to use it as a virtual storage unit for assets, compliance data, and financial metadata.
✓ Real Asset Tokenization (RWA): Plume Network has partnered with Walrus to use it as a virtual storage unit for assets, compliance data, and financial metadata.
✓ Institutional Use Case: Team Liquid (esports) uses the protocol to protect 250 TB of match recordings and branded content.
✓ Infrstructure Migration: Following the discontinuation of its original service, a large number of metadata NFTs (such as Pudgy Penguins) have been migrated to Walrus.

2. Performance and Technical Benchmarks:
✓ High-Speed Retrieval: The network achieves retrieval speeds comparable to centralized cloud computing giants.
✓ Storage Efficiency: Walrus employs "Red Stuff" erasure tokenization technology, claiming its big data storage cost efficiency is 80-100 times higher than competitors such as Filecoin and Arweave.
✓ Low Overhead: This network maintains 4-5 times lower redundancy (compared to some blockchain solutions with redundancy exceeding 100 times).

3. Economic and Functional Outcomes:
✓ Mainnet Activity: After the mainnet launch (after March 2025), the protocol will be operational, with storage costs paid in WAL tokens.
✓ Data Flexibility: Unlike traditional immutable decentralized storage systems, Walrus allows data deletion and modification, making it more attractive for enterprise applications.
✓ Developer Adoption: The protocol supports "Walrus Sites," allowing developers to host decentralized front-ends, such as "sui.direct".

4. Early Challenges and Risks:
✓ Sui Blockchain Dependence: Walrus's security and operation are highly dependent on the stability of the underlying Sui blockchain.
✓ Technical Maturity: Despite encouraging results, some analyses suggest that Walrus's actual performance in handling large-scale, high-frequency interactive data in various real-world environments remains to be proven compared to traditional, mature centralized cloud computing solutions.
✓ Node Integrity: This protocol relies on the 2/3 integrity assumption of storage nodes and ensures security through rigorous periodicity and randomness challenges.

@Walrus 🦭/acc #Walrus $WAL

The Dusk Virtual Machine (also known as Piecrust) is a high-performance WebAssembly (WASM)-based zero-knowledge proof (zkVM) virtual machine designed specifically for Dusk networks to execute private and confidential smart contracts. Paycrest replaces the previous Rask Virtual Machine, offering faster transaction speeds and more robust state management, and is optimized for compliance and Real Assets (RWA) documentation requirements.

• Key Features of the Piecrust Virtual Machine:
✓ Zero-Knowledge Compliance and Privacy Protection: Built from the outset with zero-knowledge proof (zkP) compatibility in mind, Piecrust supports private transactions, ensuring sensitive data remains hidden from auditors. It also supports the creation of “secret smart contracts,” making it ideal for DeFi-compliant asset use cases, institutions, and regulators.
✓ WebAssembly (WASM) Foundation: Piecrust uses the WASM instruction set, providing high performance and portability, and allowing developers to write contracts using languages such as Rust.
✓ Performance and Efficiency: Piecrust is designed to be ten times faster than its predecessor, RuskVM, enabling rapid transaction execution.
✓ State Management: Piecrust solves the "state bloat" problem by allowing nodes to synchronize quickly, enabling nodes to verify the current state without downloading the entire blockchain history.
✓ Local Execution, Public Verification: Private contract logic is computed locally by the user, with only zero-knowledge proofs sent to the network, thus ensuring confidentiality while maintaining network-wide verifiability.
✓ Architecture: Piecrust is built on top of the WASM runtime Wasmer, integrating a dedicated memory management mechanism and Dusk API support.

• Core Components:
The Piecrust virtual machine in the Rust environment consists of two main components:
piecrust: The core engine for executing smart contracts.
piecrust-uplink: A library/toolkit that allows developers to build and interact with smart contracts on the virtual machine. Integration

Piecrust is integrated into Rusk nodes, which act as the control panel for the Dusk network, connecting the consensus mechanism with the virtual machine's ability to handle special computations. It works in conjunction with the Citadel protocol for identity verification and with the PLONK protocol for zero-knowledge proofs.
@Dusk #Dusk $DUSK

Phoenix is ​​a customized transaction model for the DUSK network, designed specifically for privacy and based on Unspent Transaction Outputs (UTXOs). This model employs zero-knowledge proofs (ZKP) to achieve confidential financial activities, enabling the network to verify transactions without disclosing sensitive information (such as sender/receiver identities or transaction amounts) to external observers.

• Phoenix's Core Mechanisms:
✓ UTXO: In Phoenix, the outputs of unspent transactions are called "notes." The network tracks these notes by storing their hash values ​​in the leaf nodes of a Merkel tree.
✓ Privacy Achieved through ZKP: A transaction contains a "transaction proof" that verifies whether a user has the right to spend a note and whether the total amount input equals the total amount output, all without revealing the note's actual value.
✓ Dual-Key System: Phoenix employs a unique dual-element key system (private and public keys), allowing users to delegate the task of finding new banknotes to third parties without granting them permission to spend these assets.
✓ Privacy Protection Through Zero-Knowledge Proofs (ZKP): Obfuscation: Ensures that external observers cannot associate "deprecated indices" (key indicators of banknote usage) with specific banknotes or identities, thus preventing traceability.

• Evolution of Phoenix 2.0:
As of 2026, Dusk has implemented Phoenix 2.0, which improves the model to meet enterprise and regulatory requirements:
✓ Controlled Privacy: While transaction details are hidden from the public, Phoenix 2.0 allows recipients to explicitly identify senders. This meets the requirements of regulations such as MiCA and AMLD5 by providing "source determinism."
✓ Completely Confidential Refunds: Allows recipients to return funds to the transaction initiator without revealing transaction secrets. This feature aims to eliminate money laundering risks for enterprises.
✓ Smart Contract Integration: Phoenix 2.0 simplifies the sending and receiving of DUSK tokens between smart contracts, improving the usability of the native token in complex, privacy-conscious applications.

• Its role in the Dusk Ecosystem:
✓ DuskVM: Phoenix is ​​the core transaction model of DuskVM, a layer designed specifically for applications that prioritize privacy and do not compromise anonymity.
✓ Hybrid Model: Phoenix works in conjunction with the public transaction model Moonlight. This dual-model approach allows users to switch between private (protected) and transparent transactions as needed.
✓ Citadel Infrastructure: Phoenix provides the cryptographic infrastructure for Dusk's Sovereign Self-Identity (SSI) system, Citadel, which allows users to privately store and verify customer authentication/anti-money laundering (KYC/AML) credentials.

@Dusk #Dusk $DUSK

In the Dusk network architecture, Kademlia's Distributed Hash Tables (DHTs) are used to build efficient and structured peer-to-peer (P2P) networks. Specifically, they are integrated into the Kadcast protocol, which handles node discovery, routing, and message propagation. Compared to traditional gossip protocols, DHTs offer significantly improved performance.

• The role of Kademlia's DHTs in the Dusk network architecture
1. Kadcast: Kademlia-based Dusk broadcast networks use Kadcast, a customized version of Kademlia, for network communication.
✓ Structured Coverage: Unlike the random and unstructured gossip protocol that generates redundant messages, Kadcast uses Kademlia-based structured routing tables.
✓ Performance Improvement: This approach reduces bandwidth usage by 25% to 50% while maintaining 100% accessibility, thus facilitating the rapid data propagation required for effective convergence.
✓ Anti-splitting Protocol: Kadcast, as a peer-to-peer anti-splitting routing protocol, ensures the network remains robustly interconnected.

2. Node Discovery and Routing: Kademlia's core functionality maintains the network structure as nodes join and leave (changes). ✓ Routing Table: Nodes maintain k containers to store information about other carefully selected peer nodes.
✓ Efficient Search: The network supports O(log N) time complexity searches to locate peer nodes or resources, crucial for scaling decentralized networks.
✓ XOR-Based Metric: Kademlia uses an XOR distance metric to determine the distance between two node IDs and organizes them into a binary tree structure for efficient routing.

3. RASC Integration and Consensus Mechanism: The Kadcast protocol integrates into a broader RASC network architecture, which includes RASC virtual machines (for zero-knowledge private transactions) and a concise proof consensus mechanism.
✓ Efficient Deployment: DHT ensures transactions can be quickly deployed to block proposers.
✓ Separation: Kadcast enables the network to separate transaction deployment from the actual block negotiation phase, helping to maintain the average block time at approximately 10 seconds.

4. Scalability Advantages of the Dusk Network: DHT technology allows the network to handle a large number of nodes.
✓ Fault Tolerance: Due to the parallel and asynchronous nature of Kademlia queries, the network can handle node failures without significant performance degradation.
✓ Resistance to Sybil Attacks: By prioritizing long-running nodes (high-availability nodes), Kademlia enhances the network's resistance to certain types of attacks, such as Sybil attacks.

Kademlia (through Kadcast) provides an efficient and fundamental routing architecture for the Dusk network, enabling fast, low-bandwidth, and decentralized communication between nodes.

@Dusk #Dusk $DUSK

Plasma Network is designed to create a high-performance Layer 1 blockchain specifically for stablecoin payments, digital dollar settlements, and financial infrastructure. Unlike public blockchains designed for a variety of (often speculative) applications, Plasma aims to be the "native dollar layer of the internet," with digital payments as its primary use.

• Its design philosophy is based on several key pillars:
✓ Focus on Stablecoins: Plasma does not view stablecoins as just another decentralized application, but rather integrates them into the core of the network. This includes native support for USDT, which makes transferring funds as simple as sending a message, allowing users to complete transactions without holding native gas tokens.
✓ Instrumentation over Hype: This philosophy prioritizes long-term usability, reliability, and security over short-term speculative growth. The network is designed as a "financial blockchain," providing the speed, low fees, and stability required for practical applications such as fund transfers, payroll processing, and business settlements.
✓ Designed for optimal performance: Plasma employs a proprietary consensus mechanism (PlasmaBFT), an improved Fast HotStuff algorithm that achieves block generation times of less than one second and high throughput. This ensures deterministic finality, crucial for financial transactions, as payments are completed immediately upon completion, with no risk of cancellation.
✓ Practical security (hybrid model): As a Layer 1 sovereign network, Plasma integrates a non-custodial bridge designed to minimize the trust requirements of Bitcoin, thereby enhancing security, while maintaining full compatibility with the Ethereum Virtual Machine (EVM) for smart contract functionality.
✓ Seamless, zero-fee experience: For widespread adoption, this network is designed for zero-fee USDT transfers via a protocol-level payment master mechanism. This shields end-users from the complexities of gas fees.
✓ Seamless, zero-fee experience: For widespread adoption, this network employs a protocol-level payment mechanism to support zero-fee USDT transfers. This eliminates the complexity of end-users paying traditional gas fees.
✓ Transparency and Compliance: Given that this financial instrument will be subject to regulation, the network offers optional compliance options, such as selective transaction privacy, and seamless integration with existing fintech and regulatory frameworks.

Plasma is designed to replace the complexity and high cost of existing financial infrastructure with a secure, professional, and reliable infrastructure, thereby simplifying and maximizing the transfer of digital funds on the blockchain.

@Plasma #Plasma $XPL