Building code, generating images, and writing content now take just a few clicks

Compute is no different. In minutes, you can access remote GPUs from across the globe to power your AI and ML workloads

It all starts right inside your IDE with a simple extension install

Learn more about the Ocean VS Code extension: https://docs.oceanprotocol.com/developers/vscode


https://x.com/oceanprotocol/status/2013233881982402996

GPUs are becoming long-term infrastructure assets as AI workloads continue to scale

Most GPUs today are either underutilized or locked inside isolated environments. Decentralized compute networks aim to change that by allowing GPU owners to contribute capacity to shared, geographically distributed systems that power real AI workloads

Ocean Nodes will soon enable connecting GPUs to such a network, enabling compute to be monetized and used where it’s needed

If you’re interested in how decentralized compute is being designed at the infrastructure level, this is worth a look: https://github.com/oceanprotocol/ocean-node

https://x.com/oceanprotocol/status/2014285045381378349?s=20

Free compute walkthrough with the Ocean VS Code Extension

1. Install the extension
2. Pick a dataset and algorithm
3. Choose an output folder
4. Click "Start compute job" to use 7200 seconds of free compute

Start here: https://marketplace.visualstudio.com/items?itemName=OceanProtocol.ocean-protocol-vscode-extension

https://x.com/oceanprotocol/status/2014687233350017479?s=20

Ocean Nodes bring decentralized computing with features designed for scaling AI/ML workloads

Builders will get access to geographically distributed compute to train, fine-tune, and run models without relying on centralized cloud providers

Plus, with Ocean C2D, your data and algorithms stay sealed inside containers. Compute goes to the container, the job runs, and only the output is returned

This is an AI infrastructure that lets you scale globally while encouraging sovereignty

Learn more: https://docs.oceanprotocol.com/developers/ocean-node

https://x.com/oceanprotocol/status/2015781378613207309

Peer-to-Peer (P2P) Compute Networks 101

Peer-to-peer compute networks let independent machines share CPU and GPU capacity. Jobs get matched to peers, run in isolated environments, and only results come back

Ocean Network is moving toward that model using Ocean Nodes plus Ocean Compute to Data for secure containerized execution

Developers can already start testing C2D workflows from the Ocean VS Code extension and iterate fast without moving raw data

Learn more: https://x.com/oceanprotocol/status/2016510053646246093?s=46&t=sfyIS0XeZHZd-w68hBLkvw

Decentralized computing only works when coordination is built in

Ocean Network orchestration turns independent GPU and CPU providers into a usable compute network

When submitting a job, the orchestration layer handles matching, permissions, execution, and returning results

Execution runs through Ocean Compute-to-Data (C2D)

Jobs run inside isolated containers, monitored end to end, then torn down right after completion

From VS Code, it feels simple. Try it here: https://marketplace.visualstudio.com/items?itemName=OceanProtocol.ocean-protocol-vscode-extension

https://x.com/oceanprotocol/status/2017190685355446667?s=20

GPUs are becoming long-term infrastructure assets as AI workloads continue to scale

Most GPUs today are either underutilized or locked inside isolated environments. Decentralized compute networks aim to change that by allowing GPU owners to contribute capacity to shared, geographically distributed systems that power real AI workloads

Ocean Nodes will soon enable connecting GPUs to such a network, enabling compute to be monetized and used where it’s needed

If you’re interested in how decentralized compute is being designed at the infrastructure level, this is worth a look: https://github.com/oceanprotocol/ocean-node

https://x.com/oceanprotocol/status/2014285045381378349?s=20

Get your ML workflow running in three steps, directly from VS Code:

1. Install the Ocean VS Code extension: Bring Ocean orchestration capabilities directly into your development environment

2. Configure your job: Specify the dataset ID, attach your training noscript, and select compute

3. Run and observe: Run job, monitor logs in real time, and let the orchestration securely manage execution end to end

Works in VS Code, plus VS Code compatible editors like Cursor, Antigravity, and Windsurf

Docs: https://docs.oceanprotocol.com/developers/vscode
Open VSX: https://open-vsx.org/extension/OceanProtocol/ocean-protocol-vscode-extension


https://x.com/oceanprotocol/status/2019057325336637611?s=20

Demand for compute keeps climbing. The annoying part is still the workflow

Ocean Network is what we are building to make pay-per-use compute jobs feel simple across a P2P network of nodes, without the need for babysitting infrastructure

Currently, you can experiment by using the Ocean VS Code extension inside VS Code, Cursor, Antigravity, or Windsurf to package your job, run it in an isolated container via Ocean Nodes, and pull back only the outputs

https://open-vsx.org/extension/OceanProtocol/ocean-protocol-vscode-extension

https://x.com/oceanprotocol/status/2019781067486441890

Compute Nodes are operated by humans, organizations, and incentives acting independently

A network exists only when coordination aligns these actors around shared standards, so users can pick reliable resources and get predictable execution

Without orchestration, nodes operate in isolation, increasing the risk of degraded workloads and harder recovery under load

Ocean Network is being built as a p2p compute network to keep AI workloads moving coherently across independent operators, while keeping node selection in user control

Learn more: https://docs.oceanprotocol.com/developers/ocean-node

https://x.com/oceanprotocol/status/2020862882750009444?s=20

What happens to your AI job if a GPU node crashes halfway through?

In decentralized computing, failures can happen. The real question is whether the system handles them predictably

Ocean Network is being built with this in mind:

1. Jobs run in isolated containers, so failures stay contained
2. If a node goes down mid-run, the job can restart on the same node once it’s back, keeping execution conditions consistent
3. Funds are only released from escrow when a job is explicitly marked successful
4. If your algorithm fails, you’re billed only for the actual runtime, not the planned window
5. Benchmarking, monitoring, and node reputation help unreliable providers get filtered out over time
6. Users also stay in control: you choose the node, the resources, and when to reroute, so compute stays transparent and reproducible

And soon, running AI jobs won’t start in a cloud console, it will start in your IDE

https://x.com/oceanprotocol/status/2021569483941318933?s=20

Access to GPUs is changing

It’s no longer about searching marketplaces, onboarding vendors, and dealing with operational overhead in the middle of your workflow

With Ocean Network, compute soon becomes a pay-per-use building block:

1. Integrate geographically distributed GPU resources directly into your workflow
2. You can authenticate and pay using a Web3 wallet
3. Pay only when your compute job runs, no idle billing

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

https://x.com/oceanprotocol/status/2022313816009138535?s=46&t=sfyIS0XeZHZd-w68hBLkvw

TripFit Tags data annotation challenge by
@lunor_ai
is now live.

You just need to read a travel listing, skim the details, and choose who it’s best suited for: Solo, Couple, Family, or Group. Simple tasks, real impact.

These labels help make travel search systems smarter and more useful.

Prize: 1500 USDC
End: March 10

https://x.com/oceanprotocol/status/2023352118782890353?s=20

Scaling workloads on decentralized infrastructure is becoming easier.

Soon, with Ocean Network, you’ll be able to scale compute through:

1. Parallel job execution
Run multiple containerized workloads simultaneously across distributed compute environments to increase throughput without managing infrastructure.

2. Multi-stage pipelines
Break large or complex workloads into smaller stages, making long runs more reliable, easier to manage, and simpler to scale.

3. Real-time resource visibility
See available capacity, runtime limits, and environment details before submitting, so you can plan and scale workloads with predictability.

Until then, you can experiment directly in your Cursor, Antigravity, Windsurf, or VS Code editor with the Ocean VS Code extension:
https://open-vsx.org/extension/OceanProtocol/ocean-protocol-vscode-extension


https://x.com/oceanprotocol/status/2024121752574386179?s=20

It’s NEARLY time to flip the switch. Pure AutomatiON is coming

Want to run your GPU compute jobs for FREE?

Ocean Network Alpha launches March 2. We’re giving a small cohort exclusive early access to experience Next Gen OrchestratiON and test our GPU compute workflows before the public launch.

1. The Alpha: Test our network & run jobs for free! [Spots are strictly first-come, first-served]

2. The Win-Win: Didn’t make the Alpha cut? Don’t stress. Everyone who registers and lands on the waitlist will automatically get GUARANTEED early access to the Ocean Network Beta dropping on March 16!

We make sure our community eats first, whether that’s in Alpha or Beta

⏳Registration closes: March 2 at 00:00 UTC. (Selected Alpha participants will be notified via email)

https://x.com/ONcompute/status/2026633608316784747?s=20

TripFit Tags is a fast one if you want to jump in

10 to 20 seconds per task, beginner-friendly friendly and a 1500 USDC pool on Lunor

Only 4 days left to participate

https://x.com/oceanprotocol/status/2027315105726103915?s=46&t=sfyIS0XeZHZd-w68hBLkvw

Ocean Network Alpha is officially ON ⚡️!

Our exclusive cohort of chosen ONes can now run their FREE AI and data workloads on our P2P compute network, without the headache of managing complex infrastructure. (Psst… if you’re in the cohort, you might want to check your inbox right about now to unlock your access. 🗝)

Wondering how it works? Don't expect a heavy manual for this, because it's THAT frictionless:

1. Dial it in: Pick your preferred specs (GPU/CPU, RAM, disk) in the Ocean dashboard and lock in a real-time cost estimate http://dashboard.oncompute.ai

2. Run from your IDE: Never leave your editor. Jump straight into
code, cursor_ai, windsurf, or antigravity and fire off your job (Python, JS) using the Ocean Orchestrator

3. ⁠Get results: Your job executes in an isolated container on a node exclusively operated by the Ocean Protocol Foundation for this Alpha phase and powered by premium compute from AethirCloud! When it's done, only your final outputs route straight back to your local folder. Zero bloat, zero idle time.

We've already got a great thing going with Ocean Network, and with the real-time feedback we're gathering from our Alpha users right now, the Beta is bound to be even better.

Want to dig deeper into the tech? Head over to our docs: https://docs.oncompute.ai

Let's turn it ON and make sure to stay tuned for March 16 for Next Gen OrchestratiON!

https://x.com/ONcompute/status/2028494227479359652?s=20

48 hours since Alpha switched ON. ⚡️
361 compute jobs already executed.

Our exclusive cohort is actively stress-testing decentralized compute, running real workloads without managing a single piece of infrastructure.

On March 16, the gates open for the public Beta.

Get ready to tap into NVIDIA H200 & 1060 GPUs directly from your IDE via the Ocean Orchestrator.

✅ Zero infra management
✅ True pay-per-use compute
✅ Global hardware, on-demand

Next Gen OrchestratiON is almost here. See what's coming: https://docs.oncompute.ai/

https://x.com/ONcompute/status/2029233049158726054?s=20

The AI world doesn’t have a compute shortage. It has a coordination problem.

Across the globe, GPUs and CPUs sit idle while builders hunt for reliable compute to train and run workloads.

Ocean Network connects both sides by turning idle hardware into live infrastructure and giving developers access to pay-per-use compute jobs.

Here’s the flow:

1. Node operators monetize hardware by running Ocean Nodes and earning from real workload execution.

2. Builders browse a live catalog of global compute, filter exact specs, then launch jobs from their IDE via Ocean Orchestrator.

3. Jobs run in isolated containers, you track status and logs, and outputs land in your local folder, with escrow-protected payments tied to successful runs.

The Alpha phase is already stress-testing NVIDIA H200s, 1060s, and Tesla T4s, with 370+ jobs completed, so Beta opens with real load behind it.

Explore more: https://x.com/ONcompute/status/2029634027460628982?s=20

The Ocean Network Beta is almost here, and it’s about to change the way developers run AI workloads.

Since last week, our Alpha cohort has stress-tested the network with real workloads, running over 731 jobs so far across NVIDIA H200s, 1060s, and Tesla T4s.

Starting March 16, the gates open: users everywhere can run AI workloads from their IDE on geographically distributed coordinated GPUs with no infra headaches, and pay-per-use

This is next-gen orchestratiON: https://www.oncompute.ai/

https://x.com/ONcompute/status/2031039985986527607?s=20