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

OrchestratiON is loading…

The next era of compute goes live in 3 days.

https://x.com/ONcompute/status/2032483346169655527?s=20

Ocean Network Beta is officially ON ⚡️

This is the moment we've been building toward: Run AI workloads on pay-per-use NVIDIA H200s as low as $2.16/GPU hour, straight from your IDE with a one-click code-to-node workflow.

Head on to https://oncompute.ai to claim your $100 complimentary credits in Beta and turn your first job ON!

https://x.com/ONcompute/status/2033528303307362478

Hot take: Stop overpaying for GPUs, NVIDIA H200s start at $2.16/hour and are just an extension away.

The Ocean Orchestrator extension connects you to a globalized supply of high-quality GPUs, powered by the Ocean Network, making it your go-to P2P compute network for running real AI workloads without dealing with infrastructure.

The extension lets you run containerized compute jobs directly from your editor in an isolated environment across distributed GPU nodes, with real-time logs and automatic result retrieval, so you can go from idea to result without leaving your IDE.

Get started here👇

https://oncompute.ai/ocean-orchestrator

https://x.com/ONcompute/status/2034301420325794157?s=20

Free compute, on us 😎

We’re giving users $100 in complimentary credits so you can run real workloads on NVIDIA H200 GPUs without spending anything upfront.

Use it to:
-Train and run inference
-Benchmark in real conditions
-Test actual pipelines before you scale

So when it’s time to go to production, the workflow already feels familiar.

Getting started takes just a couple of minutes:
1. Sign up
2. Fill out the form
3. Verify and claim your credits
4. Run your first containerized job

Get it now 👇
https://dashboard.oncompute.ai/grant/details

https://x.com/ONcompute/status/2034668412698316910

Unpopular opinion:

If running a compute job still means bouncing between dashboards, terminals, and way too many tabs, the workflow is broken.

Ocean Orchestrator brings containerized GPU compute jobs into your IDE, powered by Ocean Network (
ONcompute).

Learn more👇

https://oncompute.ai/ocean-orchestrator

https://x.com/oceanprotocol/status/2035013676315333012

Last week, during our public beta launch, we gave you access to Ocean Network (ON), a tool that connects global GPUs to your AI workloads.

Now let us show how you can go from code-to-node in a few clicks, and access @nvidia GPUs for as low as $2.16/hr

Psst… We have a gift for you👀

Read more

https://x.com/oncompute/status/2036116188648907004?s=46&t=sfyIS0XeZHZd-w68hBLkvw

Oceaners, we’ll be at Pragma Cannes, hosted by ETHGlobal on April 2

The event will bring builders and founders together to share what’s next, from stablecoins to DeFi, & Ethereum

We’re giving 15 tickets ($99 each), Use code FRENSOCEAN to get yours free

Get yours: https://luma.com/pragma-cannes2026?coupon=FRENSOCEAN

https://x.com/oceanprotocol/status/2036452553773203660

Building an AI model is easier than ever, until you’re paying for Idle GPUs.

You hit a bug, pause to debug, maybe step away, but your instance keeps running in the background, burning money with zero progress.

That’s the hidden “tax on thinking” most developers just accept. Ocean Network (
@ONcompute
) flips that:

You only pay for actual execution time, and Jobs run in isolated containers directly from your IDE via Ocean Orchestrator. Payment is handled via escrow, so funds are released only for what actually runs. If a node fails, nothing is charged. If your code fails, you only pay for the compute that was used.

Learn how to run on high-performance nvidia H200s, without the usual cost pressure: https://docs.oncompute.ai/ocean-orchestrator/using-ocean-orchestrator-with-ocean-dashboard

https://x.com/oceanprotocol/status/2036816803544887565?s=20

Pragma Cannes by
@ETHGlobal
is one week away 🇫🇷

The builders shaping the future of Ethereum, DeFi, and stablecoins will be there, and so will Ocean Network.

We dropped 15 free ticket coupons earlier this week, and they went fast, so we’re adding 5 more for our community.

If you’re coming, find us and let’s talk decentralized compute, Ocean Network, and what comes next.

Use code FRENSOCEAN at checkout 👇

https://luma.com/pragma-cannes2026?coupon=FRENSOCEAN

https://x.com/ONcompute/status/2037162460335972700

Every minute you spend configuring environments, switching tools, and chasing outputs is a minute you're not building.

Ocean Orchestrator was built to change this:

1. One-Click Jobs: Run containerized workloads directly from @code, @cursor_ai, @antigravity, or @windsurf with no servers, no setup, no context switching
2. Pay Only for What Runs: Start free with complimentary credits, then scale to premium H200s nvidia GPUs
3. Global GPU Access: Tap into high-performance compute nodes worldwide via Ocean Network Dashboard
4. Full Visibility: Live logs streamed directly to your IDE. Results saved automatically to your project folder

Get started in minutes: https://docs.oncompute.ai/ocean-orchestrator/using-ocean-orchestrator-with-ocean-dashboard

https://x.com/oncompute/status/2037541249381490794?s=46&t=sfyIS0XeZHZd-w68hBLkvw

Premium nvidia H200s are now available on the Ocean Network (
@ONcompute) dashboard starting from $2.16/hr⚡️

Explore GPU specs, test with free compute, and run AI workloads on remote global nodes with pay-per-use, escrow protected payments

Try it here👇

https://dashboard.oncompute.ai/

https://x.com/oceanprotocol/status/2038603214950391943?s=20

Having PRAGMAtic talks about what devs actually need ETHGlobal Pragma Cannes

Zero Infra. Zero SSH. 100% Compute.
Code → node in ONe click

That’s less complexity for more building 😉

Want to get in ON the action? Claim your complimentary credits here: https://dashboard.oncompute.ai/grant/details

https://x.com/ONcompute/status/2039665276669595941

EthCC, you sure left a mark! Still carrying the energy from last week

Now we’re ON to turning all that momentum into real impact on our network. Let’s see what we ship this week 👀

PS: Spot yourself on the wall? Tag away!

https://x.com/oncompute/status/2041149908762128624

The world's most powerful chips shouldn't be locked behind enterprise contracts and $10k/month minimums.

Innovation happens when the best tools are available to the best minds, not just the biggest bank accounts. The Ocean Network stack is built exactly for that, and here's what sets it apart:

1) Test on Nvidia H200s before you scale, catching failures cheaply, not at production cost
2) Pay only for what you use, billed per GPU, down to the minute
3) Run your environment anywhere with container-based IDE execution via the Ocean orchestrator

Start running on H200s today: https://dashboard.oncompute.ai/

https://x.com/oncompute/status/2041857173198606826?s=46&t=sfyIS0XeZHZd-w68hBLkvw

Good news: you don’t need to leave your editor to run GPU jobs anymore.

You write the code, click run, and Ocean Orchestrator handles everything on remote compute.

Here’s how to get started:
1.Write your job in Python, JavaScript, or bring your own custom Docker image
2.Pick a node from the Ocean Nodes Dashboard (ONcompute), select your specs, and send the job to your chosen remote GPU
3.Monitor logs and job status live inside your editor
4.Receive outputs automatically in your results folder without chasing files around
Behind the scenes, Ocean Orchestrator handles container setup, Compute-to-Data execution, and node coordination, so you don’t have to think about infra at all.

https://x.com/oceanprotocol/status/2043712069782954282?s=20

When trentmc0 joins a conference, you’re not just getting an AI take.

You’re hearing from someone who worked on AI back when it meant modelling real-world systems, and later on the actual tech that helps design the chips everything runs on today. And we mean everything, even generating those cat memes you’re so fond of.

So when he connects today’s AI wave to what’s next [BCI/ACC and beyond] it’s less prediction, more continuation.

Lugano should be a good one 🌊

https://x.com/oceanprotocol/status/2044088517639217445?s=46&t=sfyIS0XeZHZd-w68hBLkvw

AI agents are built to make things faster and more efficient.

Their training should be too. Instead, you're either overpaying for compute or stuck in GPU queues just to run inference or pretraining.

Fix that with Ocean Network:

1. Define your requirements: Pick the exact node you want and run jobs with pay-per-use pricing and escrow-secured payments.

2. Explore before you commit: Browse the most powerful nodes in the network through the dashboard leaderboard before running a single job.

From training and inference to agent workflows, efficiency belongs at the compute layer too.

Start running on Nvidia H200s for under $3/hr:

https://x.com/ONcompute/status/2044792729670934951?s=20

3,000+ compute jobs already completed on Ocean Network 🎉

Data scientists and AI developers are already executing AI workloads on remote NVIDIA GPUs, no infra to manage, no waiting on provisioning.

Everything runs directly on decentralized compute for under $3/hr.

Check the post below👇

https://x.com/oceanprotocol/status/2045180045484797970?s=46&t=sfyIS0XeZHZd-w68hBLkvw

The gap between "I have a model to train" and "my job is running on an H200" should not be measured in days.

Ocean Network runs on pay-per-use pricing with escrow-secured payments, and three features make it genuinely hard to go back to anything else:

1. Test your exact workload on real compute before spending anything
2. Take your compute environment inside your IDE via Ocean Orchestrator
3. Spin up the best GPUs on the market with no waitlists

Get started: https://docs.oncompute.ai/