Protokół Walrus: Przypadek przechowywania opartego na blobach w Web3

Phantom_illusion Official · 2026-01-17T04:08:08.000Z

@Walrus 🦭/acc | #walrus | $WAL Jednym z największych wyzwań w infrastrukturze Web3 jest przechowywanie dużych ilości danych w sposób zdecentralizowany, wydajny i weryfikowalny. W tym miejscu Protokół Walrus i jego model przechowywania oparty na blobach naprawdę się wyróżniają. U podstaw, Walrus oparty jest na blobach, które są dużymi, niezmiennymi kawałkami danych. Zamiast traktować przechowywanie jak tradycyjny system plików lub bazę danych, Walrus traktuje każdy plik lub zbiór danych jako samodzielny obiekt. Gdy blob jest tworzony, nigdy się nie zmienia, a jego tożsamość pochodzi bezpośrednio z jego zawartości. To sprawia, że integralność danych jest łatwa do zweryfikowania i eliminuje potrzebę zaufania do jakiegokolwiek pojedynczego dostawcy przechowywania.

@Walrus 🦭/acc | #walrus | $WAL 
One of the biggest challenges in Web3 infrastructure is storing large amounts of data in a way that’s decentralized, efficient, and verifiable. This is where the Walrus Protocol and its blob-based storage model really stands out.
At its core, Walrus is built around blobs, which are large, immutable pieces of data. Instead of treating storage like a traditional filesystem or database, Walrus treats each file or dataset as a self-contained object. Once a blob is created, it never changes, and its identity is derived directly from its contents. This makes data integrity easy to verify and removes the need to trust any single storage provider.
Blob-based storage also simplifies how Web3 applications think about data. Smart contracts and decentralized apps don’t need to manage complex storage logic. They just reference a blob ID, knowing that the data behind it is permanent and verifiable. This clean separation between computation and storage is a big win for scalability.
Another major advantage is how blobs work with erasure encoding. Instead of replicating entire files across many nodes, Walrus splits each blob into encoded pieces and distributes them across the network. Only a subset of those pieces is needed to reconstruct the original data. This approach provides strong fault tolerance while keeping storage costs low—something that’s critical for sustainable Web3 infrastructure.
Blob-based storage also aligns naturally with decentralization. Storage nodes don’t need to know what the data represents; they simply store and serve pieces of blobs. Nodes can join or leave freely, and the system remains reliable as long as enough pieces are available. This makes the network resilient to failures, censorship, and central points of control.
More broadly, Walrus makes the case that Web3 storage should focus on data availability and verifiability, not traditional server models. By combining immutable blobs, efficient encoding, and decentralized storage nodes, it provides a blueprint for how large-scale data can live natively in Web3.
In short, Walrus Protocol shows that blob-based storage isn’t just an implementation detail it’s a foundational design choice that enables scalable, trust-minimized Web3 applications.
#Walrus 🦭 

Walrus Protocol: The Case for Blob-Based Storage in Web3

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