2980
A decentralized data exchange protocol
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
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
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
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
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
OrchestratiON is loading…
The next era of compute goes live in 3 days.
https://x.com/ONcompute/status/2032483346169655527?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
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
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
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
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
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
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
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 script, 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
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
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
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
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
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
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
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
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
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
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
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 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
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
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
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
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