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Walrus Protocol: The Decentralized Storage Revolution on Sui
In the rapidly evolving landscape of Web3, data storage remains one of the most foundational yet neglected layers. While blockchains excel at consensus and transaction integrity, they are not inherently designed to store and serve large quantities of data — especially rich media like images, audio, and video. Walrus Protocol emerges to fill this critical gap. Built as a decentralized storage solution on the Sui blockchain, Walrus aims to redefine how data is stored, accessed, and monetized in Web3, offering a truly programmable, resilient, and efficient storage network that works for users, developers, and enterprises alike.
What Is Walrus?
At its core, Walrus is a decentralized data storage network designed to efficiently store and deliver large unstructured files — commonly referred to as “blobs” — such as videos, images, and PDFs. Unlike centralized solutions (e.g., Google Drive) that risk single points of failure or other decentralized options that focus only on archival storage, Walrus combines decentralization with programmability and real-time performance.
Walrus was originally contributed by Mysten Labs, the team behind the Sui blockchain, and started its lifecycle with a public testnet launch in late 2024 before culminating in its mainnet deployment in March 2025.
How Walrus Works: Components and Architecture
Walrus operates through a layered model with six pivotal components:
End Users: Individuals or applications that want to store or retrieve blobs.Publisher: Responsible for writing the blob into the protocol.Client: Acts as a bridge between end users and publishers, handling requests and forwards data accordingly.Storage Node: The core infrastructure of Walrus; these nodes store data and serve retrieval requests. Operators generally need to stake $WAL tokens to participate.Aggregator: Collects stored data and optimizes retrieval for end users and other systems.CDN/Cache: Provides low-latency temporary storage to improve user experience and reduce retrieval delay.This layered architecture enables a balance of security, performance, and scalability. Multiple storage nodes reduce dependency on any single entity, improving fault tolerance and decentralization. Meanwhile, caching layers and aggregators help avoid bottlenecks and enhance performance comparable to centralized services.
RedStuff: The Technical Breakthrough in Storage Coding
One of Walrus’s most innovative technical elements is its use of RedStuff, a two-dimensional erasure coding algorithm. This approach splits large files into smaller shards distributed across multiple nodes. Even if up to roughly two-thirds of nodes fail or lose pieces of data, the original file can still be reconstructed from the remaining shards.
Compared to traditional replication strategies that might require 10× redundancy or more, RedStuff keeps replication overhead low (around 4–5×), significantly reducing storage costs while maintaining high resilience. This design also enables fast recovery and efficient verification mechanisms, reducing the bandwidth and time needed to validate stored data.
Programmable Storage: Beyond Simple File Hosting
Perhaps one of Walrus’s most compelling innovations is programmable storage — storage that behaves as a blockchain-native, interactable resource rather than a passive repository. Every stored blob is associated with a Sui object, allowing developers to build custom logic around stored data. Applications can, for instance, delete storage programmatically when a condition is met, or rotate backups based on smart contract triggers.
This differs sharply from platforms like Arweave, where data is immutable, or Filecoin, where expiration and off-chain contracts complicate integration. In Walrus, data can be actively managed on-chain, giving developers unprecedented control and flexibility.
Tokenomics and Utility of $WAL
The native token $WAL plays a central role in governance, network security, and economic incentives:
Payments: Users pay in WAL to store and retrieve data.
Staking: Node operators stake WAL to participate in the network and earn rewards.Governance: WAL holders can vote on protocol changes and parameter adjustments.The total supply of WAL is 5,000,000,000 tokens, with nearly half reserved for community initiatives and ecosystem growth. Other allocations include contributors, strategic subsidies, and Mysten Labs shares.
Real-World Use Cases
Walrus’s utility stretches far beyond traditional storage:
1. NFT Metadata Storage
By storing metadata directly on Walrus, creators can ensure that NFT content — images, models, audio, and more — persists independently of centralized servers that might go offline or change content over time.
2. AI Data and Model Storage
AI applications often require vast datasets and models. Walrus allows secure, cost-effective storage of training data and model artifacts, with built-in verification and ownership proofs — critical for machine learning workflows where data authenticity is essential.
3. Data Availability for L2 Rollups
Even though Walrus started on the Sui network, its architecture supports broader data availability functions for Layer 2 rollups, reducing costs and improving accessibility for decentralized apps across different chains.
4. Digital Rights & Content Commerce
Creators can use Walrus to store content and offer controlled access via encryption keys, creating monetizable content markets where users pay for access or licenses.
Ecosystem Integrations and Adoption
Walrus has been rapidly gaining traction across the Web3 ecosystem. Significant developments include listing on major exchanges like Bitget and Crypto.com — making WAL accessible to a broader investor base and increasing liquidity.
Additionally, applications such as Akord and Tusky — aiming to provide decentralized file services similar to Web2 counterparts — leverage Walrus infrastructure, demonstrating real-world utility and integration potential.
Data as an Economic Asset
Walrus also changes how data is perceived economically. Instead of being a cost center — a necessary expense for applications — data becomes a tokenized asset that can generate value. With mechanisms like programmability and proof of availability, data ownership becomes verifiable, exchangeable, and economically meaningful.
Competitive Landscape
While decentralized storage is not new — projects like Filecoin and Arweave preceded Walrus — Walrus differentiates itself through:
Programmable storage logic.
Lower storage redundancy costs.Blockchain-native verification and composability.Integration with Sui’s scalable architecture.This positions Walrus not just as a competitor but as an evolutionary step in decentralized data infrastructure.
✔ Summary: Walrus is not merely a storage solution — it’s a data platform for the next era of Web3. By combining programmable storage, resilient architecture, proof-based verification, and economic incentives via $WAL , it tackles longstanding limitations of decentralized storage and opens up new possibilities for developers and users alike.
@Walrus 🦭/acc – $WAL – #walrus
What Is Walrus?
At its core, Walrus is a decentralized data storage network designed to efficiently store and deliver large unstructured files — commonly referred to as “blobs” — such as videos, images, and PDFs. Unlike centralized solutions (e.g., Google Drive) that risk single points of failure or other decentralized options that focus only on archival storage, Walrus combines decentralization with programmability and real-time performance.
Walrus was originally contributed by Mysten Labs, the team behind the Sui blockchain, and started its lifecycle with a public testnet launch in late 2024 before culminating in its mainnet deployment in March 2025.
How Walrus Works: Components and Architecture
Walrus operates through a layered model with six pivotal components:
End Users: Individuals or applications that want to store or retrieve blobs.Publisher: Responsible for writing the blob into the protocol.Client: Acts as a bridge between end users and publishers, handling requests and forwards data accordingly.Storage Node: The core infrastructure of Walrus; these nodes store data and serve retrieval requests. Operators generally need to stake $WAL tokens to participate.Aggregator: Collects stored data and optimizes retrieval for end users and other systems.CDN/Cache: Provides low-latency temporary storage to improve user experience and reduce retrieval delay.This layered architecture enables a balance of security, performance, and scalability. Multiple storage nodes reduce dependency on any single entity, improving fault tolerance and decentralization. Meanwhile, caching layers and aggregators help avoid bottlenecks and enhance performance comparable to centralized services.
RedStuff: The Technical Breakthrough in Storage Coding
One of Walrus’s most innovative technical elements is its use of RedStuff, a two-dimensional erasure coding algorithm. This approach splits large files into smaller shards distributed across multiple nodes. Even if up to roughly two-thirds of nodes fail or lose pieces of data, the original file can still be reconstructed from the remaining shards.
Compared to traditional replication strategies that might require 10× redundancy or more, RedStuff keeps replication overhead low (around 4–5×), significantly reducing storage costs while maintaining high resilience. This design also enables fast recovery and efficient verification mechanisms, reducing the bandwidth and time needed to validate stored data.
Programmable Storage: Beyond Simple File Hosting
Perhaps one of Walrus’s most compelling innovations is programmable storage — storage that behaves as a blockchain-native, interactable resource rather than a passive repository. Every stored blob is associated with a Sui object, allowing developers to build custom logic around stored data. Applications can, for instance, delete storage programmatically when a condition is met, or rotate backups based on smart contract triggers.
This differs sharply from platforms like Arweave, where data is immutable, or Filecoin, where expiration and off-chain contracts complicate integration. In Walrus, data can be actively managed on-chain, giving developers unprecedented control and flexibility.
Tokenomics and Utility of $WAL
The native token $WAL plays a central role in governance, network security, and economic incentives:
Payments: Users pay in WAL to store and retrieve data.
Staking: Node operators stake WAL to participate in the network and earn rewards.Governance: WAL holders can vote on protocol changes and parameter adjustments.The total supply of WAL is 5,000,000,000 tokens, with nearly half reserved for community initiatives and ecosystem growth. Other allocations include contributors, strategic subsidies, and Mysten Labs shares.
Real-World Use Cases
Walrus’s utility stretches far beyond traditional storage:
1. NFT Metadata Storage
By storing metadata directly on Walrus, creators can ensure that NFT content — images, models, audio, and more — persists independently of centralized servers that might go offline or change content over time.
2. AI Data and Model Storage
AI applications often require vast datasets and models. Walrus allows secure, cost-effective storage of training data and model artifacts, with built-in verification and ownership proofs — critical for machine learning workflows where data authenticity is essential.
3. Data Availability for L2 Rollups
Even though Walrus started on the Sui network, its architecture supports broader data availability functions for Layer 2 rollups, reducing costs and improving accessibility for decentralized apps across different chains.
4. Digital Rights & Content Commerce
Creators can use Walrus to store content and offer controlled access via encryption keys, creating monetizable content markets where users pay for access or licenses.
Ecosystem Integrations and Adoption
Walrus has been rapidly gaining traction across the Web3 ecosystem. Significant developments include listing on major exchanges like Bitget and Crypto.com — making WAL accessible to a broader investor base and increasing liquidity.
Additionally, applications such as Akord and Tusky — aiming to provide decentralized file services similar to Web2 counterparts — leverage Walrus infrastructure, demonstrating real-world utility and integration potential.
Data as an Economic Asset
Walrus also changes how data is perceived economically. Instead of being a cost center — a necessary expense for applications — data becomes a tokenized asset that can generate value. With mechanisms like programmability and proof of availability, data ownership becomes verifiable, exchangeable, and economically meaningful.
Competitive Landscape
While decentralized storage is not new — projects like Filecoin and Arweave preceded Walrus — Walrus differentiates itself through:
Programmable storage logic.
Lower storage redundancy costs.Blockchain-native verification and composability.Integration with Sui’s scalable architecture.This positions Walrus not just as a competitor but as an evolutionary step in decentralized data infrastructure.
✔ Summary: Walrus is not merely a storage solution — it’s a data platform for the next era of Web3. By combining programmable storage, resilient architecture, proof-based verification, and economic incentives via $WAL , it tackles longstanding limitations of decentralized storage and opens up new possibilities for developers and users alike.
@Walrus 🦭/acc – $WAL – #walrus
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#walrus $WAL
Designed for long-term networks
Storage networks must function through market cycles, not just peak usage. @Walrus 🦭/acc aligns participation and responsibility using $WAL , ensuring consistent data availability under changing conditions.
Designed for long-term networks
Storage networks must function through market cycles, not just peak usage. @Walrus 🦭/acc aligns participation and responsibility using $WAL , ensuring consistent data availability under changing conditions.
Traduci
How Walrus Changed the Way I Think About Web3 Infrastructure
For a long time, my way of evaluating Web3 projects was fairly predictable. I looked for traction, user growth, volume, and short-term narratives. Storage protocols rarely made it into that framework. They felt slow, difficult to explain, and often disconnected from immediate market excitement. Walrus forced me to rethink that mindset.
What makes @walrusprotocol interesting to me is not just what it does, but where it sits in the Web3 stack. Most projects fight for attention at the application layer, competing for users and liquidity. Walrus operates below that noise, in a space where success is measured by absence of failure rather than constant visibility. That alone signals a different design philosophy.
When I compare Walrus to earlier decentralized storage projects, the contrast becomes clearer. Many storage networks were built with a single promise: permanence. That idea worked well for archival use cases, but it struggled to adapt to dynamic applications that need flexibility, updates, and programmability. Walrus feels like a response to that limitation. It does not treat data as something frozen forever, but as an asset that evolves alongside applications.
Another aspect that stands out to me is how Walrus integrates economic incentives without overengineering them. $WAL does not try to represent everything at once. It acts as a mechanism for coordination and accountability, rather than a narrative engine. In an environment where many tokens rely heavily on constant attention to maintain value, this quieter role feels intentional.
I also think Walrus benefits from timing. Web3 is entering a phase where infrastructure choices matter more than experimentation. As applications mature, weak assumptions around data availability become expensive mistakes. Storage stops being a “nice to have” and becomes a constraint that shapes what can realistically be built. Walrus appears to understand this shift and positions itself accordingly.
What ultimately reshaped my perspective is realizing that the most valuable infrastructure is often the least visible. If Walrus succeeds, users may never talk about it directly — and that may be the best signal of success. It would mean data is simply there when needed, without drama, outages, or workarounds.
In that sense, I don’t see Walrus as a project chasing trends. I see it as infrastructure preparing for a quieter, more serious phase of Web3 — one where reliability matters more than narratives, and endurance matters more than hype.
@Walrus 🦭/acc $WAL #walrus
What makes @walrusprotocol interesting to me is not just what it does, but where it sits in the Web3 stack. Most projects fight for attention at the application layer, competing for users and liquidity. Walrus operates below that noise, in a space where success is measured by absence of failure rather than constant visibility. That alone signals a different design philosophy.
When I compare Walrus to earlier decentralized storage projects, the contrast becomes clearer. Many storage networks were built with a single promise: permanence. That idea worked well for archival use cases, but it struggled to adapt to dynamic applications that need flexibility, updates, and programmability. Walrus feels like a response to that limitation. It does not treat data as something frozen forever, but as an asset that evolves alongside applications.
Another aspect that stands out to me is how Walrus integrates economic incentives without overengineering them. $WAL does not try to represent everything at once. It acts as a mechanism for coordination and accountability, rather than a narrative engine. In an environment where many tokens rely heavily on constant attention to maintain value, this quieter role feels intentional.
I also think Walrus benefits from timing. Web3 is entering a phase where infrastructure choices matter more than experimentation. As applications mature, weak assumptions around data availability become expensive mistakes. Storage stops being a “nice to have” and becomes a constraint that shapes what can realistically be built. Walrus appears to understand this shift and positions itself accordingly.
What ultimately reshaped my perspective is realizing that the most valuable infrastructure is often the least visible. If Walrus succeeds, users may never talk about it directly — and that may be the best signal of success. It would mean data is simply there when needed, without drama, outages, or workarounds.
In that sense, I don’t see Walrus as a project chasing trends. I see it as infrastructure preparing for a quieter, more serious phase of Web3 — one where reliability matters more than narratives, and endurance matters more than hype.
@Walrus 🦭/acc $WAL #walrus
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Plasma is shaping itself as a key infrastructure layer for the evolving blockchain ecosystem. By prioritizing performance, scalability, and flexible design, @Plasma aims to support real on-chain demand as adoption grows. Instead of focusing on hype, the project emphasizes long-term usability and efficient data flow. The $XPL token plays an essential role in aligning incentives and sustaining network growth. #plasma
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Plasma and the Role of Infrastructure in the Next Blockchain Cycle
In every major blockchain cycle, infrastructure projects quietly lay the foundation for what comes next. Plasma is positioning itself within this category by focusing on efficiency, adaptability, and long-term usability rather than short-term speculation. The @Plasma network is designed to handle increasing on-chain activity while maintaining smooth performance for both users and developers.
What makes Plasma stand out is its emphasis on optimizing how data and assets interact across the network. By reducing friction at the infrastructure level, Plasma enables decentralized applications to scale more naturally as demand grows. This approach supports real usage rather than artificial traffic, which is critical for sustainable ecosystem development.
The $XPL token plays a strategic role in coordinating incentives and supporting network functionality. As participation increases, $XPL helps align the interests of builders, users, and validators within the ecosystem. With infrastructure becoming a key narrative in the next blockchain phase, Plasma represents a project built with longevity in mind rather than short-term momentum. #Plasma
What makes Plasma stand out is its emphasis on optimizing how data and assets interact across the network. By reducing friction at the infrastructure level, Plasma enables decentralized applications to scale more naturally as demand grows. This approach supports real usage rather than artificial traffic, which is critical for sustainable ecosystem development.
The $XPL token plays a strategic role in coordinating incentives and supporting network functionality. As participation increases, $XPL helps align the interests of builders, users, and validators within the ecosystem. With infrastructure becoming a key narrative in the next blockchain phase, Plasma represents a project built with longevity in mind rather than short-term momentum. #Plasma
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Infrastructure-level design
Rather than focusing on application hype, @Walrus 🦭/acc operates at the infrastructure layer, where reliability and availability matter most. The protocol enforces data persistence through economic alignment powered by $WAL .
$WAL #walrus
Rather than focusing on application hype, @Walrus 🦭/acc operates at the infrastructure layer, where reliability and availability matter most. The protocol enforces data persistence through economic alignment powered by $WAL .
$WAL #walrus
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La mia opinione personale su Walrus e il futuro dei dati decentralizzati
Quando ho guardato per la prima volta allo storage decentralizzato, lo consideravo una funzionalità di supporto del Web3 piuttosto che un pilastro fondamentale. I livelli di esecuzione sembravano entusiasmanti, il DeFi era visibile e le narrazioni attorno alla velocità e alla scalabilità dominavano la maggior parte delle discussioni. Lo storage, al confronto, sembrava sempre tranquillo — quasi invisibile. Nel tempo, quella percezione ha iniziato a cambiare.
Ciò che ha catturato la mia attenzione su @walrusprotocol non è solo la tecnologia, ma la mentalità che c'è dietro. Walrus non cerca di competere per l'attenzione con metriche appariscenti o narrazioni aggressive. Invece, si concentra su un problema che la maggior parte delle persone nota solo quando le cose si rompono: la persistenza dei dati. A mio avviso, questo è un segno di un protocollo che sta pensando a diversi cicli avanti, non solo all'adozione a breve termine.
Ciò che ha catturato la mia attenzione su @walrusprotocol non è solo la tecnologia, ma la mentalità che c'è dietro. Walrus non cerca di competere per l'attenzione con metriche appariscenti o narrazioni aggressive. Invece, si concentra su un problema che la maggior parte delle persone nota solo quando le cose si rompono: la persistenza dei dati. A mio avviso, questo è un segno di un protocollo che sta pensando a diversi cicli avanti, non solo all'adozione a breve termine.
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#walrus $WAL
Developer-focused storage model
Developers need storage that integrates cleanly with smart contracts. @walrusprotocol offers programmable storage primitives, enabling applications to control data lifecycle directly at the protocol level.
@Walrus 🦭/acc
Developer-focused storage model
Developers need storage that integrates cleanly with smart contracts. @walrusprotocol offers programmable storage primitives, enabling applications to control data lifecycle directly at the protocol level.
@Walrus 🦭/acc
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Quá tuyệt vời wendy ơi
Wendyy_
--
Da zero a 67.000 followers. Un viaggio che continua ancora.
Ciao a tutti, io sono Wendy, una creatrice di contenuti su Binance Square
Se tornassi indietro nel tempo al 2024, ricordo ancora molto bene la sensazione dei primi giorni. Scrivere con molte speranze, ma quasi nessuno che ascolti. In quel momento, volevo semplicemente connettermi con più persone, imparare nuove cose e vedere se ciò che condividevo potesse toccare qualcuno.
Se tornassi indietro nel tempo al 2024, ricordo ancora molto bene la sensazione dei primi giorni. Scrivere con molte speranze, ma quasi nessuno che ascolti. In quel momento, volevo semplicemente connettermi con più persone, imparare nuove cose e vedere se ciò che condividevo potesse toccare qualcuno.
Traduci
Thông tin hữu ích lắm bro. Xem để biết thêm về thị trường
LỊCH SỰ KIỆN KINH TẾ (THEO NGÀY MỸ)
Tuần này thị trường bước vào trạng thái chờ đợi. Chứng khoán Mỹ nghỉ giao dịch vào thứ Hai do ngày lễ, nhưng thị trường futures vẫn mở cửa, đây sẽ là tín hiệu phản ứng đầu tiên trước căng thẳng thương mại và địa chính trị Mỹ–EU.
Ngoài ra, nhà đầu tư theo dõi GDP Mỹ quý 4, phán quyết của Tòa án Tối cao Mỹ về thuế quan, quyết định lãi suất của Ngân hàng Trung ương Nhật Bản, và dữ liệu lạm phát PCE của Mỹ.
🗓️ THỨ HAI, NGÀY 19 THÁNG 1
— Nghỉ lễ tại Mỹ, thị trường chứng khoán Mỹ đóng cửa
— Thị trường futures Mỹ vẫn giao dịch (phản ánh sớm tâm lý trước căng thẳng Mỹ–EU)
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— Doanh số nhà chờ bán tại Mỹ (Dự báo +1.0% | Kỳ trước +3.3%)
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— GDP Mỹ quý 4, bản điều chỉnh đầu tiên (Dự báo 4.3% | Kỳ trước 4.3%)
— Lạm phát PCE và Core PCE của Mỹ (báo cáo bị trì hoãn, dữ liệu tháng 9 do chính phủ Mỹ từng đóng cửa)
— Quyết định lãi suất của Ngân hàng Trung ương Nhật Bản (Kỳ vọng giữ nguyên 0.75%)
$BTC
{future}(BTCUSDT)
$ETH
{future}(ETHUSDT)
$BNB
{future}(BNBUSDT)
Ngoài ra, nhà đầu tư theo dõi GDP Mỹ quý 4, phán quyết của Tòa án Tối cao Mỹ về thuế quan, quyết định lãi suất của Ngân hàng Trung ương Nhật Bản, và dữ liệu lạm phát PCE của Mỹ.
🗓️ THỨ HAI, NGÀY 19 THÁNG 1
— Nghỉ lễ tại Mỹ, thị trường chứng khoán Mỹ đóng cửa
— Thị trường futures Mỹ vẫn giao dịch (phản ánh sớm tâm lý trước căng thẳng Mỹ–EU)
🗓️ THỨ TƯ, NGÀY 21 THÁNG 1
— Doanh số nhà chờ bán tại Mỹ (Dự báo +1.0% | Kỳ trước +3.3%)
🗓️ THỨ NĂM, NGÀY 22 THÁNG 1
— Số đơn xin trợ cấp thất nghiệp lần đầu tại Mỹ (Dự báo 208.000 | Kỳ trước 198.000)
— GDP Mỹ quý 4, bản điều chỉnh đầu tiên (Dự báo 4.3% | Kỳ trước 4.3%)
— Lạm phát PCE và Core PCE của Mỹ (báo cáo bị trì hoãn, dữ liệu tháng 9 do chính phủ Mỹ từng đóng cửa)
— Quyết định lãi suất của Ngân hàng Trung ương Nhật Bản (Kỳ vọng giữ nguyên 0.75%)
$BTC
{future}(BTCUSDT)
$ETH
{future}(ETHUSDT)
$BNB
{future}(BNBUSDT)
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@Binance BiBi nhận xét bài đăng của tôi
Walrus Protocol: The Decentralized Storage Revolution on Sui
In the rapidly evolving landscape of Web3, data storage remains one of the most foundational yet neglected layers. While blockchains excel at consensus and transaction integrity, they are not inherently designed to store and serve large quantities of data — especially rich media like images, audio, and video. Walrus Protocol emerges to fill this critical gap. Built as a decentralized storage solution on the Sui blockchain, Walrus aims to redefine how data is stored, accessed, and monetized in Web3, offering a truly programmable, resilient, and efficient storage network that works for users, developers, and enterprises alike.
What Is Walrus?
At its core, Walrus is a decentralized data storage network designed to efficiently store and deliver large unstructured files — commonly referred to as “blobs” — such as videos, images, and PDFs. Unlike centralized solutions (e.g., Google Drive) that risk single points of failure or other decentralized options that focus only on archival storage, Walrus combines decentralization with programmability and real-time performance.
Walrus was originally contributed by Mysten Labs, the team behind the Sui blockchain, and started its lifecycle with a public testnet launch in late 2024 before culminating in its mainnet deployment in March 2025.
How Walrus Works: Components and Architecture
Walrus operates through a layered model with six pivotal components:
End Users: Individuals or applications that want to store or retrieve blobs.Publisher: Responsible for writing the blob into the protocol.Client: Acts as a bridge between end users and publishers, handling requests and forwards data accordingly.Storage Node: The core infrastructure of Walrus; these nodes store data and serve retrieval requests. Operators generally need to stake $WAL tokens to participate.Aggregator: Collects stored data and optimizes retrieval for end users and other systems.CDN/Cache: Provides low-latency temporary storage to improve user experience and reduce retrieval delay.This layered architecture enables a balance of security, performance, and scalability. Multiple storage nodes reduce dependency on any single entity, improving fault tolerance and decentralization. Meanwhile, caching layers and aggregators help avoid bottlenecks and enhance performance comparable to centralized services.
RedStuff: The Technical Breakthrough in Storage Coding
One of Walrus’s most innovative technical elements is its use of RedStuff, a two-dimensional erasure coding algorithm. This approach splits large files into smaller shards distributed across multiple nodes. Even if up to roughly two-thirds of nodes fail or lose pieces of data, the original file can still be reconstructed from the remaining shards.
Compared to traditional replication strategies that might require 10× redundancy or more, RedStuff keeps replication overhead low (around 4–5×), significantly reducing storage costs while maintaining high resilience. This design also enables fast recovery and efficient verification mechanisms, reducing the bandwidth and time needed to validate stored data.
Programmable Storage: Beyond Simple File Hosting
Perhaps one of Walrus’s most compelling innovations is programmable storage — storage that behaves as a blockchain-native, interactable resource rather than a passive repository. Every stored blob is associated with a Sui object, allowing developers to build custom logic around stored data. Applications can, for instance, delete storage programmatically when a condition is met, or rotate backups based on smart contract triggers.
This differs sharply from platforms like Arweave, where data is immutable, or Filecoin, where expiration and off-chain contracts complicate integration. In Walrus, data can be actively managed on-chain, giving developers unprecedented control and flexibility.
Tokenomics and Utility of $WAL
The native token $WAL plays a central role in governance, network security, and economic incentives:
Payments: Users pay in WAL to store and retrieve data.
Staking: Node operators stake WAL to participate in the network and earn rewards.Governance: WAL holders can vote on protocol changes and parameter adjustments.The total supply of WAL is 5,000,000,000 tokens, with nearly half reserved for community initiatives and ecosystem growth. Other allocations include contributors, strategic subsidies, and Mysten Labs shares.
Real-World Use Cases
Walrus’s utility stretches far beyond traditional storage:
1. NFT Metadata Storage
By storing metadata directly on Walrus, creators can ensure that NFT content — images, models, audio, and more — persists independently of centralized servers that might go offline or change content over time.
2. AI Data and Model Storage
AI applications often require vast datasets and models. Walrus allows secure, cost-effective storage of training data and model artifacts, with built-in verification and ownership proofs — critical for machine learning workflows where data authenticity is essential.
3. Data Availability for L2 Rollups
Even though Walrus started on the Sui network, its architecture supports broader data availability functions for Layer 2 rollups, reducing costs and improving accessibility for decentralized apps across different chains.
4. Digital Rights & Content Commerce
Creators can use Walrus to store content and offer controlled access via encryption keys, creating monetizable content markets where users pay for access or licenses.
Ecosystem Integrations and Adoption
Walrus has been rapidly gaining traction across the Web3 ecosystem. Significant developments include listing on major exchanges like Bitget and Crypto.com — making WAL accessible to a broader investor base and increasing liquidity.
Additionally, applications such as Akord and Tusky — aiming to provide decentralized file services similar to Web2 counterparts — leverage Walrus infrastructure, demonstrating real-world utility and integration potential.
Data as an Economic Asset
Walrus also changes how data is perceived economically. Instead of being a cost center — a necessary expense for applications — data becomes a tokenized asset that can generate value. With mechanisms like programmability and proof of availability, data ownership becomes verifiable, exchangeable, and economically meaningful.
Competitive Landscape
While decentralized storage is not new — projects like Filecoin and Arweave preceded Walrus — Walrus differentiates itself through:
Programmable storage logic.
Lower storage redundancy costs.Blockchain-native verification and composability.Integration with Sui’s scalable architecture.This positions Walrus not just as a competitor but as an evolutionary step in decentralized data infrastructure.
✔ Summary: Walrus is not merely a storage solution — it’s a data platform for the next era of Web3. By combining programmable storage, resilient architecture, proof-based verification, and economic incentives via $WAL, it tackles longstanding limitations of decentralized storage and opens up new possibilities for developers and users alike.
@Walrus 🦭/acc – $WAL – #walrus
What Is Walrus?
At its core, Walrus is a decentralized data storage network designed to efficiently store and deliver large unstructured files — commonly referred to as “blobs” — such as videos, images, and PDFs. Unlike centralized solutions (e.g., Google Drive) that risk single points of failure or other decentralized options that focus only on archival storage, Walrus combines decentralization with programmability and real-time performance.
Walrus was originally contributed by Mysten Labs, the team behind the Sui blockchain, and started its lifecycle with a public testnet launch in late 2024 before culminating in its mainnet deployment in March 2025.
How Walrus Works: Components and Architecture
Walrus operates through a layered model with six pivotal components:
End Users: Individuals or applications that want to store or retrieve blobs.Publisher: Responsible for writing the blob into the protocol.Client: Acts as a bridge between end users and publishers, handling requests and forwards data accordingly.Storage Node: The core infrastructure of Walrus; these nodes store data and serve retrieval requests. Operators generally need to stake $WAL tokens to participate.Aggregator: Collects stored data and optimizes retrieval for end users and other systems.CDN/Cache: Provides low-latency temporary storage to improve user experience and reduce retrieval delay.This layered architecture enables a balance of security, performance, and scalability. Multiple storage nodes reduce dependency on any single entity, improving fault tolerance and decentralization. Meanwhile, caching layers and aggregators help avoid bottlenecks and enhance performance comparable to centralized services.
RedStuff: The Technical Breakthrough in Storage Coding
One of Walrus’s most innovative technical elements is its use of RedStuff, a two-dimensional erasure coding algorithm. This approach splits large files into smaller shards distributed across multiple nodes. Even if up to roughly two-thirds of nodes fail or lose pieces of data, the original file can still be reconstructed from the remaining shards.
Compared to traditional replication strategies that might require 10× redundancy or more, RedStuff keeps replication overhead low (around 4–5×), significantly reducing storage costs while maintaining high resilience. This design also enables fast recovery and efficient verification mechanisms, reducing the bandwidth and time needed to validate stored data.
Programmable Storage: Beyond Simple File Hosting
Perhaps one of Walrus’s most compelling innovations is programmable storage — storage that behaves as a blockchain-native, interactable resource rather than a passive repository. Every stored blob is associated with a Sui object, allowing developers to build custom logic around stored data. Applications can, for instance, delete storage programmatically when a condition is met, or rotate backups based on smart contract triggers.
This differs sharply from platforms like Arweave, where data is immutable, or Filecoin, where expiration and off-chain contracts complicate integration. In Walrus, data can be actively managed on-chain, giving developers unprecedented control and flexibility.
Tokenomics and Utility of $WAL
The native token $WAL plays a central role in governance, network security, and economic incentives:
Payments: Users pay in WAL to store and retrieve data.
Staking: Node operators stake WAL to participate in the network and earn rewards.Governance: WAL holders can vote on protocol changes and parameter adjustments.The total supply of WAL is 5,000,000,000 tokens, with nearly half reserved for community initiatives and ecosystem growth. Other allocations include contributors, strategic subsidies, and Mysten Labs shares.
Real-World Use Cases
Walrus’s utility stretches far beyond traditional storage:
1. NFT Metadata Storage
By storing metadata directly on Walrus, creators can ensure that NFT content — images, models, audio, and more — persists independently of centralized servers that might go offline or change content over time.
2. AI Data and Model Storage
AI applications often require vast datasets and models. Walrus allows secure, cost-effective storage of training data and model artifacts, with built-in verification and ownership proofs — critical for machine learning workflows where data authenticity is essential.
3. Data Availability for L2 Rollups
Even though Walrus started on the Sui network, its architecture supports broader data availability functions for Layer 2 rollups, reducing costs and improving accessibility for decentralized apps across different chains.
4. Digital Rights & Content Commerce
Creators can use Walrus to store content and offer controlled access via encryption keys, creating monetizable content markets where users pay for access or licenses.
Ecosystem Integrations and Adoption
Walrus has been rapidly gaining traction across the Web3 ecosystem. Significant developments include listing on major exchanges like Bitget and Crypto.com — making WAL accessible to a broader investor base and increasing liquidity.
Additionally, applications such as Akord and Tusky — aiming to provide decentralized file services similar to Web2 counterparts — leverage Walrus infrastructure, demonstrating real-world utility and integration potential.
Data as an Economic Asset
Walrus also changes how data is perceived economically. Instead of being a cost center — a necessary expense for applications — data becomes a tokenized asset that can generate value. With mechanisms like programmability and proof of availability, data ownership becomes verifiable, exchangeable, and economically meaningful.
Competitive Landscape
While decentralized storage is not new — projects like Filecoin and Arweave preceded Walrus — Walrus differentiates itself through:
Programmable storage logic.
Lower storage redundancy costs.Blockchain-native verification and composability.Integration with Sui’s scalable architecture.This positions Walrus not just as a competitor but as an evolutionary step in decentralized data infrastructure.
✔ Summary: Walrus is not merely a storage solution — it’s a data platform for the next era of Web3. By combining programmable storage, resilient architecture, proof-based verification, and economic incentives via $WAL, it tackles longstanding limitations of decentralized storage and opens up new possibilities for developers and users alike.
@Walrus 🦭/acc – $WAL – #walrus
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#walrus $WAL
Data as an economic resource
Walrus treats stored data as a verifiable resource instead of a passive cost. With $WAL , storage providers are incentivized to maintain availability, turning decentralized data into an economically sustainable asset.
@Walrus 🦭/acc
Data as an economic resource
Walrus treats stored data as a verifiable resource instead of a passive cost. With $WAL , storage providers are incentivized to maintain availability, turning decentralized data into an economically sustainable asset.
@Walrus 🦭/acc
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Use-case driven storage
Decentralized applications increasingly handle rich media and large datasets. @walrusprotocol enables scalable blob storage with on-chain coordination, allowing apps to manage data efficiently without relying on centralized servers.
@Walrus 🦭/acc $WAL #walrus
Decentralized applications increasingly handle rich media and large datasets. @walrusprotocol enables scalable blob storage with on-chain coordination, allowing apps to manage data efficiently without relying on centralized servers.
@Walrus 🦭/acc $WAL #walrus
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Góc nhìn quá hay bro
Thị trường giảm mạnh, các vị thế LONG SHORT bị thanh lý, tài khoản bốc hơi hàng trăm hàng nghìn đô la. Nhưng BOT của tôi vẫn đứng vững, vẫn ở đó và tạo lợi nhuận hàng ngày cho tôi. Dù lợi nhuận tạo ra nếu so với LONG SHORT thì có thể không bằng nhưng độ ổn định theo thời gian cũng như sức chống chọi với thị trường thì nó là ghế, vì không phải bàn. Trong khi BOT giao dịch sinh lợi nhuận cho bạn thì bạn có thể rảnh tay làm những việc khác mà không cần phải ngồi hàng giờ canh CHART. Việc cần làm chỉ là chọn đúng TOKEN, cài đặt đúng thông số và BOOM.
#botgiaodich
$FOGO
{future}(FOGOUSDT)
$BTC
{future}(BTCUSDT)
$BNB
{future}(BNBUSDT)
#botgiaodich
$FOGO
{future}(FOGOUSDT)
$BTC
{future}(BTCUSDT)
$BNB
{future}(BNBUSDT)
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Quá chuẩn
So cool forr this
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Let go
When Applications Outgrow Their Storage Assumptions
Many Web3 applications are built with optimistic assumptions about storage. During early growth, data volumes are small, participation is high, and infrastructure stress remains invisible. Problems only appear when applications scale, user behavior diversifies, and incentives begin to fluctuate.
This is where architectural weaknesses surface. Data that was once cheap to store becomes expensive to maintain. Nodes that were previously active leave the network. Historical records become fragmented. For many protocols, storage was never designed to handle this phase.
@Walrus 🦭/acc addresses this gap by treating storage as a first-class design constraint rather than an operational afterthought. Instead of assuming constant participation, Walrus builds around variable conditions and uneven incentives. The protocol ensures that data availability remains enforceable, not dependent on goodwill.
The introduction of $WAL creates a coordination layer that aligns storage behavior with long-term application needs. As Web3 applications mature and demand persistent data, systems like Walrus become increasingly relevant. Sustainable applications require storage that evolves alongside them — not infrastructure that breaks once growth stabilizes.
$WAL #walrus
This is where architectural weaknesses surface. Data that was once cheap to store becomes expensive to maintain. Nodes that were previously active leave the network. Historical records become fragmented. For many protocols, storage was never designed to handle this phase.
@Walrus 🦭/acc addresses this gap by treating storage as a first-class design constraint rather than an operational afterthought. Instead of assuming constant participation, Walrus builds around variable conditions and uneven incentives. The protocol ensures that data availability remains enforceable, not dependent on goodwill.
The introduction of $WAL creates a coordination layer that aligns storage behavior with long-term application needs. As Web3 applications mature and demand persistent data, systems like Walrus become increasingly relevant. Sustainable applications require storage that evolves alongside them — not infrastructure that breaks once growth stabilizes.
$WAL #walrus
Traduci
When Applications Outgrow Their Storage Assumptions
Many Web3 applications are built with optimistic assumptions about storage. During early growth, data volumes are small, participation is high, and infrastructure stress remains invisible. Problems only appear when applications scale, user behavior diversifies, and incentives begin to fluctuate.
This is where architectural weaknesses surface. Data that was once cheap to store becomes expensive to maintain. Nodes that were previously active leave the network. Historical records become fragmented. For many protocols, storage was never designed to handle this phase.
@Walrus 🦭/acc addresses this gap by treating storage as a first-class design constraint rather than an operational afterthought. Instead of assuming constant participation, Walrus builds around variable conditions and uneven incentives. The protocol ensures that data availability remains enforceable, not dependent on goodwill.
The introduction of $WAL creates a coordination layer that aligns storage behavior with long-term application needs. As Web3 applications mature and demand persistent data, systems like Walrus become increasingly relevant. Sustainable applications require storage that evolves alongside them — not infrastructure that breaks once growth stabilizes.
$WAL #walrus
This is where architectural weaknesses surface. Data that was once cheap to store becomes expensive to maintain. Nodes that were previously active leave the network. Historical records become fragmented. For many protocols, storage was never designed to handle this phase.
@Walrus 🦭/acc addresses this gap by treating storage as a first-class design constraint rather than an operational afterthought. Instead of assuming constant participation, Walrus builds around variable conditions and uneven incentives. The protocol ensures that data availability remains enforceable, not dependent on goodwill.
The introduction of $WAL creates a coordination layer that aligns storage behavior with long-term application needs. As Web3 applications mature and demand persistent data, systems like Walrus become increasingly relevant. Sustainable applications require storage that evolves alongside them — not infrastructure that breaks once growth stabilizes.
$WAL #walrus
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The Role of Storage in Web3 Ecosystem Sustainability
Web3 ecosystems are often evaluated through metrics such as total value locked, daily active users, or transaction throughput. While these indicators are useful, they overlook a quieter but more critical factor: how well an ecosystem preserves its data over time. Without durable storage, growth metrics lose meaning because the underlying history cannot be reliably accessed or verified.
In many networks, storage is implicitly delegated to external services or loosely coordinated providers. This approach works in early stages but becomes fragile as ecosystems expand. When market conditions shift, incentives weaken, and participation drops, storage reliability is often the first casualty.
@Walrus 🦭/acc approaches ecosystem sustainability from a different angle. Instead of focusing on peak performance, it emphasizes consistency under stress. The protocol assumes that not all participants will behave optimally at all times. Rather than resisting this reality, Walrus incorporates it into its design.
The economic role of $WAL is essential here. It creates a persistent incentive structure that encourages correct storage behavior across varying market environments. This reduces reliance on external assumptions and strengthens internal accountability. Storage providers are not just service operators; they are economically bound to the health of the data they maintain.
As Web3 ecosystems evolve toward real-world use cases — digital identity, content permanence, decentralized governance — the importance of sustainable storage increases. Data must remain accessible not just during growth cycles, but across years of fluctuating interest and adoption.
Walrus positions itself as infrastructure for this mature phase of Web3. By focusing on long-term data stewardship rather than short-term metrics, it contributes to ecosystem stability in a way that is often overlooked but fundamentally necessary.
$WAL #walrus
In many networks, storage is implicitly delegated to external services or loosely coordinated providers. This approach works in early stages but becomes fragile as ecosystems expand. When market conditions shift, incentives weaken, and participation drops, storage reliability is often the first casualty.
@Walrus 🦭/acc approaches ecosystem sustainability from a different angle. Instead of focusing on peak performance, it emphasizes consistency under stress. The protocol assumes that not all participants will behave optimally at all times. Rather than resisting this reality, Walrus incorporates it into its design.
The economic role of $WAL is essential here. It creates a persistent incentive structure that encourages correct storage behavior across varying market environments. This reduces reliance on external assumptions and strengthens internal accountability. Storage providers are not just service operators; they are economically bound to the health of the data they maintain.
As Web3 ecosystems evolve toward real-world use cases — digital identity, content permanence, decentralized governance — the importance of sustainable storage increases. Data must remain accessible not just during growth cycles, but across years of fluctuating interest and adoption.
Walrus positions itself as infrastructure for this mature phase of Web3. By focusing on long-term data stewardship rather than short-term metrics, it contributes to ecosystem stability in a way that is often overlooked but fundamentally necessary.
$WAL #walrus
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Walrus and the Invisible Infrastructure Problem in Web3
One of the least discussed challenges in Web3 is not scalability, speed, or even decentralization — it is invisible infrastructure. Users rarely notice storage systems when they work well, but once they fail, entire applications silently collapse. Data becomes inaccessible, historical records disappear, and trust erodes without dramatic on-chain events.
This problem exists because many Web3 architectures treat storage as a background utility rather than a strategic layer. Applications focus heavily on execution and settlement, while long-term data persistence is often outsourced or assumed to “just work.” In reality, storage systems face fluctuating participation, shifting incentives, and uneven demand over time.
@Walrus 🦭/acc approaches this issue from a structural perspective. Instead of optimizing storage for ideal conditions, Walrus is designed around imperfect ones. The protocol acknowledges that participants act rationally, markets cycle, and usage patterns change. By embedding economic accountability directly into storage behavior, Walrus transforms data persistence into a protocol-level responsibility rather than a voluntary service.
The role of $WAL is central to this design. It is not simply a transactional asset but a coordination tool. Incentives are structured so that maintaining data availability remains rational even during periods of low activity or market stress. This shifts storage from a speculative feature into a long-term commitment mechanism.
What makes Walrus particularly relevant is its timing. As Web3 moves beyond experimentation into applications that require continuity — identity systems, content platforms, and long-lived records — storage reliability becomes a prerequisite, not an enhancement. Walrus positions itself as infrastructure that does not demand constant attention, precisely because it is built to endure quietly in the background.
In the long run, the success of Web3 will depend less on visible innovation and more on invisible systems that hold everything together. Walrus is designed for that layer — the one users never notice, but always depend on.
@Walrus 🦭/acc $WAL #walrus
This problem exists because many Web3 architectures treat storage as a background utility rather than a strategic layer. Applications focus heavily on execution and settlement, while long-term data persistence is often outsourced or assumed to “just work.” In reality, storage systems face fluctuating participation, shifting incentives, and uneven demand over time.
@Walrus 🦭/acc approaches this issue from a structural perspective. Instead of optimizing storage for ideal conditions, Walrus is designed around imperfect ones. The protocol acknowledges that participants act rationally, markets cycle, and usage patterns change. By embedding economic accountability directly into storage behavior, Walrus transforms data persistence into a protocol-level responsibility rather than a voluntary service.
The role of $WAL is central to this design. It is not simply a transactional asset but a coordination tool. Incentives are structured so that maintaining data availability remains rational even during periods of low activity or market stress. This shifts storage from a speculative feature into a long-term commitment mechanism.
What makes Walrus particularly relevant is its timing. As Web3 moves beyond experimentation into applications that require continuity — identity systems, content platforms, and long-lived records — storage reliability becomes a prerequisite, not an enhancement. Walrus positions itself as infrastructure that does not demand constant attention, precisely because it is built to endure quietly in the background.
In the long run, the success of Web3 will depend less on visible innovation and more on invisible systems that hold everything together. Walrus is designed for that layer — the one users never notice, but always depend on.
@Walrus 🦭/acc $WAL #walrus
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#walrus
True infrastructure is tested during downturns, not hype phases. @Walrus 🦭/acc is designed to survive low activity periods, using $WAL to ensure storage providers stay accountable when incentives matter most.
True infrastructure is tested during downturns, not hype phases. @Walrus 🦭/acc is designed to survive low activity periods, using $WAL to ensure storage providers stay accountable when incentives matter most.
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