Decentralized Storage and Compute: How Web3 Stores Data
Blockchains are bad at storing large files. Decentralised storage and compute networks pay independent providers to store data and run workloads. We explain the models and review the projects.
Cocoon: Decentralized GPU Compute Network Generates Revenue via AI Inference on TON Blockchain
Cocoon operates as a decentralized AI inference marketplace built on The Open Network (TON) blockchain. The network connects GPU providers (Workers) who supply computational resources with developers and applications requiring private AI…
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What is decentralized storage?
Storing data directly on a blockchain is extremely expensive, because every node keeps a copy forever. Decentralised storage networks solve this by splitting and replicating files across many independent providers. Data is addressed by its content – a hash of the file – rather than by a server location, and cryptographic proofs show that providers really keep the data they are paid for.
The main models
| Model | How it works | Best for | Examples |
|---|---|---|---|
| Storage market | Users pay providers for fixed-term deals; providers prove storage over time | Large datasets, archives | Filecoin |
| Permanent storage | A one-off payment funds storage for a very long period through an endowment | Data that must never change or disappear | Arweave |
| Content-addressed network | Files are shared peer-to-peer and stay available while someone pins them | NFT metadata, websites | IPFS |
| Encrypted cloud alternatives | Files are encrypted, split and stored across nodes | Everyday file storage | Storj, Sia |
Decentralized storage vs cloud storage
For raw capacity, decentralised storage can be cheaper than large cloud providers, and it removes a single point of failure or censorship. The trade-offs are retrieval speed, tooling and the need to understand how long data is guaranteed to stay available. Many applications combine both: a decentralised network for persistence and a conventional CDN for speed.
From storage to decentralized compute
The same idea now applies to GPUs and computation. Networks such as Akash, Render and newer confidential-compute projects rent out idle hardware for AI training, inference and rendering. We review these projects with the same questions we use for storage: what is live, who actually uses it, how work is verified and what the token does.
How we review storage and compute projects
- Used capacity versus total advertised capacity.
- How storage or computation is proven and how providers are penalised for failures.
- Retrieval performance and developer tooling.
- Token incentives and what happens when subsidies end.
Who uses decentralized storage?
Typical users include NFT projects that need durable metadata, archives and research datasets, websites that want censorship resistance and applications that store user files without relying on a single cloud provider. Usage data is uneven: some networks report large capacity but store relatively little paid data, so we look closely at actual deals and retrieval activity.
Risks to keep in mind
Data on IPFS disappears if nobody pins it. Fixed-term storage deals must be renewed. Compute networks may struggle to verify that work was done correctly, and many depend heavily on token rewards rather than paying customers.
Frequently asked questions
Is IPFS a blockchain?
No. IPFS is a peer-to-peer file system that addresses content by its hash. Blockchains such as Filecoin add economic incentives for keeping data stored.
Is decentralized storage cheaper than cloud storage?
For raw capacity it can be, but retrieval speed, tooling and reliability vary. Total cost depends on how often data is read and how much redundancy you need.
What is the difference between Filecoin and Arweave?
Filecoin is a market for time-limited storage deals. Arweave is designed for permanent storage paid for once, up front.
This page is for educational purposes only and is not financial, investment or tax advice. Crypto assets are volatile and you can lose all of the money you invest.
