With Ocean Nodes, high-performance tasks like deep learning, scientific simulations, and financial modelling won’t just run, they’ll run smarter, with private, decentralised compute
The core of decentralised AI now runs where you code, your IDE
The Ocean VS Code Extension lets you deploy safe Compute-to-Data jobs and run federated learning workflows, all from your IDE
With a built-in real-time monitoring environment, it’s an efficient way to build privacy-preserving, distributed AI without leaving your coding environment
Ocean Nodes aren’t just about privacy, they can help you build full-stack, decentralised machine learning pipelines
With Ocean Nodes, you can:
1. Share your training data across multiple nodes 2. Distribute those shards intelligently to compute providers 3. Orchestrate training jobs across the network in parallel
This architecture enables horizontal scaling through data-parallel training
Plug in advanced frameworks like PyTorch + Horovod, DeepSpeed, or Ray, and you’ve got a system where compute and data are dynamically allocated, priced, and permissioned, all while preserving privacy and decentralisation
You wrote the gene. You trained the model So why does someone else own the data?
Ocean Data NFTs let you mint your sequences, models, and datasets as verifiable on-chain assets, timestamped, auditable, and tied to your wallet
With datatokens, you can license a gene for research, offer API access to your model, or split royalties with collaborators, all enforced by smart contracts
Every version, license, and access log is recorded and traceable, ready for IP filings, publications, or compliance checks
AI is leaving the screen and entering the world through Physical AI, robots, drones, and wearables
These systems perceive, decide, and act in physical space, demanding real-time, low-latency data and precise contextual awareness
Centralised cloud architectures introduce unacceptable latency and data sovereignty issues.
Ocean tech enables secure, decentralised computation to locally-generated data through Compute-to-Data & orchestrating AI training across distributed nodes
In essence, Ocean transforms raw edge data into actionable intelligence, without sacrificing privacy
The AI world has been obsessed with models, but real progress is in shifting focus from tweaking algorithms to improving datasets
Yet, curating high-value data at scale raises issues of access, provenance, and ownership
Ocean’s tech stack provides the substrate for this by enabling permissioned access to private data via datatokens, ensuring provenance through on-chain metadata, and enabling secure compute through Ocean C2D
How do you go from “What are AI agents?” to “I’m building one” in under 10 minutes?
The next internet won’t be made of websites and apps. It’ll be autonomous agents software that runs on your data, makes decisions, and learns over time
Some agents follow simple rules. Others plan, adapt, and evolve with experience. The most powerful ones improve on their own, no constant retraining, no manual updates
With the Ocean VS Code extension, building one is simple
You write the logic, connect your data, and launch training jobs securely through Ocean’s decentralised compute network without leaving your editor
Logs, performance, results, it’s all there. And once your agents are ready, you can deploy them as a compute service with a single command
No backend. No cloud lock-in. Just you, your AI, and full control