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

The real cost of AI is not always the model.

It is the idle GPU capacity teams keep around just in case.

That is exactly what Ocean Network is built to change⚡️

Right now, Alpha users are putting the network through real workloads:
1. Pay-per-use compute jobs tied to real execution
2. Flexible CPU + GPU selection based on workload and budget, with no forced bundles
3. Ocean Orchestrator, so jobs start from your IDE, and results get pulled back locally

In just a few days, these capabilities will open up in Public Beta.

See what’s coming 👇

https://docs.oncompute.ai/

https://x.com/ONcompute/status/2031405277099024470?s=20

Around 1,000 compute jobs have already been completed by our Alpha cohort ⚡️

Real users are already running AI workloads through Ocean Orchestrator directly from their IDE, while Ocean Nodes execute them remotely across the network.

That’s what decentralized compute looks like when it stops being theory and starts running real jobs.

Public Beta opens March 16. Things are about to get very interesting.

Learn more 👇

https://x.com/ONcompute/status/2031774542834643190?s=20

Alpha is already in full motion ⚡️

Over 1,100 compute jobs have already run through Ocean Network.

Users start in the dashboard, pick resources, and launch jobs through Ocean Orchestrator, while Ocean Nodes execute them across the network.

Public Beta opens in 4 days, and a lot more builders are about to get their hands on it.

Learn more 👇

https://docs.oncompute.ai/ocean-network-dashboard/running-compute-jobs-on-ocean-nodes-dashboard

https://x.com/ONcompute/status/2032156931062677674?s=20