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@oceanprotocol

A decentralized data exchange protocol
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Post #3441 281
Post #3439 302
AI engineers, we get it, accessing high-quality data while staying compliant can be a real challenge

That’s why we built the Ocean VS Code extension

It lets you publish datasets, manage datatokens, and run compute-to-data jobs all from the comfort of your editor

No need to jump between tools. Just open VS @code and start building privacy-preserving, decentralised AI pipelines with full traceability baked in

Explore what’s possible:

https://docs.oceanprotocol.com/developers/vscode

https://x.com/oceanprotocol/status/1930196077090570550?t=3SrW8yq_KLEltlr89N1zWg&s=19
Oceanprotocol VSCode Extension | Ocean Protocol
Post #3438 282
Post #3435 320
Post #3434 290
Modern AI is starving for compute

Training and inference need massive GPU power, but most of it is locked behind hyperscalers like AWS or Google Cloud

This creates serious problems:
1. Startups & researchers get priced out
2. Surveillance & compliance risks rise
3. Local innovation gets crushed under central control

Ocean Nodes offer an alternative, a decentralised, permissionless compute layer where:

- Anyone can contribute idle GPUs/CPUs to the network
- Developers can run containerised AI workloads (training, inference, validation)
-All jobs are cryptographically verified with zero-trust security

This turns DePIN from just hardware into intelligence

Learn how Ocean Nodes are becoming the compute layer for sovereign AI:
https://docs.oceanprotocol.com/developers/ocean-node

https://x.com/oceanprotocol/status/1927705239001468982
Oceanprotocol Ocean Nodes | Ocean Protocol The new Ocean stack
Post #3433 286
How Ocean Tech can act as the Data Layer for Open-Source LLMs

LLMs need vast, diverse, high-quality datasets for:

1. Pretraining - large-scale text corpora
2. Finetuning - task or domain-specific data
3. Evaluation & Alignment - human feedback, bias mitigation, safety tuning

Yet open-source LLMs often struggle with access, quality, compliance, and incentives

Ocean Protocol solves this by transforming data into programmable, ownable, and tradable assets.

LLM Lifecycle with Ocean:

1. Data Tokenisation - Researchers, DAOs, and institutions publish high-quality datasets (e.g. biomedical texts, code, low-resource languages) using Ocean CLI. Each dataset is wrapped as a Data NFT with ERC20 datatokens and registered on-chain.
2. Dataset Discovery - LLM teams can query Ocean for datasets by domain or metadata.
3. On-Chain Access - Access is granted via datatokens, enabling transparent and permissioned data use.
4. Compute-to-Data (C2D) - Instead of moving data, Ocean sends training jobs to where data resides. Privacy and compliance are preserved.
5. Monetisation - Each training run can trigger payments, rewarding data providers with usage-based royalties.

Own your data. Train with Ocean

https://x.com/oceanprotocol/status/1927318635153920162?s=46&t=sfyIS0XeZHZd-w68hBLkvw
X (formerly Twitter) Ocean Protocol (@oceanprotocol) on X How Ocean Tech can act as the Data Layer for Open-Source LLMs LLMs need vast, diverse, high-quality datasets for: 1. Pretraining - large-scale text corpora 2. Finetuning - task or domain-specific data 3. Evaluation & Alignment - human feedback, bias mitigation…
Post #3432 293
CPUs and GPUs have powered decades of computing from desktop applications to large-scale enterprise systems

CPUs are optimised for sequential tasks, ideal for logic-heavy operations and operating systems. GPUs, with thousands of smaller cores, are better at handling parallel operations like rendering and machine learning inference

However, both have limits

Modern AI workloads require massive parallelism and scalability that centralised infrastructure often struggles to provide due to cost, energy demands, and hardware limitations

This is where distributed computing enters

By aggregating underutilised compute, from gaming GPUs to idle enterprise resources, distributed systems offer a scalable, cost-effective, and energy-aware alternative to traditional cloud computing

It’s not just more compute, it’s smarter, decentralised, and future-proof

https://x.com/oceanprotocol/status/1927013668971069924?s=46&t=sfyIS0XeZHZd-w68hBLkvw
Post #3430 328
The Ocean CLI tool is your gateway to privacy-preserving AI development

With a single command, such as "npm run cli publish path/to/metadata.json", you can easily tokenise your data into on-chain Data NFTs

Once tokenised, you can leverage Ocean Compute-to-Data to:

1. Perform federated learning on private datasets
2. Train ML models on fresh, real-world data
3. Build data cooperatives, all while staying compliant

Learn how it enables data scientists, AI developers, and researchers to unlock data value securely

https://docs.oceanprotocol.com/developers/ocean-cli

https://x.com/oceanprotocol/status/1925867112343457990?t=J7hIWI1tI0hctH_cid0t8g&s=19
Post #3429 322
It’s Web3 meets DataOps, built for the age of AI superintelligence

Ocean Data NFTs let data creators own, control, and monetise their data, without giving it away

They also power privacy-preserving AI pipelines with token-gated access and crypto incentives

Learn more: https://docs.oceanprotocol.com/developers/contracts/data-nfts

https://x.com/oceanprotocol/status/1925522098820096103?s=46&t=sfyIS0XeZHZd-w68hBLkvw
Oceanprotocol Data NFTs | Ocean Protocol ERC721 data NFTs represent holding the copyright/base IP of a data asset.
Post #3428 269
It's time to start making more $ trading with AI!

Earn crypto rewards in our ASI Predictoor program when your AI bot submits accurate UP / DOWN crypto price predictions!

Learn about this week's details here: https://blog.oceanprotocol.com/df142-completes-and-df143-launches-662d524e3ef8


https://x.com/oceanprotocol/status/1925431434162184300?t=RzOk6hfaPlEi4Yq3GM7i2A&s=19
Medium DF142 Completes and DF143 Launches Predictoor DF142 rewards available. DF143 runs May 22nd — May 29th, 2025
Post #3427 294
AI folks, we’ve all hit this wall

The traditional “download data → train model” workflow is outdated and risky

Ocean C2D has a solution!

Instead of moving the data to your model, Ocean C2D lets you send your ML/AI algorithm to the data in a secure, sandboxed environment, where only insights are returned

This is made possible by:

1. Containerised execution (e.g., Docker, Kubernetes)
2. On-chain access control (via data tokens)
3. Decentralised orchestration across compute providers via Ocean Nodes

Read how it bridges the gap between data privacy and AI utility:
https://docs.oceanprotocol.com/developers/compute-to-data

https://x.com/oceanprotocol/status/1925137001319121287
Oceanprotocol Compute to data | Ocean Protocol Compute to data version 2 (C2dv2)
Post #3425 284
Make your Data an asset class with Ocean CLI

It's a powerful, scriptable tool that lets you interact with Ocean core features. Here’s what you can do with it:

1. Publish data services - Create a Data NFT, datatoken, metadata DDO, and set a price in one go (whether it’s a downloadable file or a Compute-to-Data service)
2. Update assets anytime - Easily edit metadata and pricing post-publish
3. Consume data assets - Order datatokens and download content with a single command
4. Enable Compute-to-Data - Using approved algorithms, launch decentralised compute jobs on your data.

To get started, clone the Ocean CLI repository, set your environment variables (e.g., PRIVATE_KEY, RPC, NODE_URL), and run commands using "npm run cli"

Try it here: https://github.com/oceanprotocol/ocean-cli

https://x.com/oceanprotocol/status/1924425289297195311
GitHub GitHub - oceanprotocol/ocean-cli Contribute to oceanprotocol/ocean-cli development by creating an account on GitHub.
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