Efficiency is where Ocean really shines. Idle GPUs are wasted money and Ocean’s model ensures compute resources are utilized properly, reducing both cost and inefficiency.
The next wave of AI needs compute that’s efficient, flexible, and ready to scale ⚡️
Find the Ocean Network team at Pragma Cannes to talk pay-per-use GPU compute, Ocean Nodes, and how to access high-quality @nvidia GPUs through the Ocean Network dashboard
See you in Cannes 🇫🇷👇
The real alpha here is workflow simplification. Most devs do not quit projects because of ideas, they quit because the tooling gets exhausting.
Ocean Orchestrator cuts through that friction and makes execution smoother, and that is where real adoption starts.
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://t.co/SKJKCZDDCa
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://t.co/89UziJyWMt to claim your $100 complimentary credits in Beta and turn your first job ON!
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Ocean Network reduces the friction developers face when accessing compute. Lower barriers mean more experimentation, and experimentation drives innovation.
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://t.co/IWRigorcZe
GPU sprawl slowing down your AI workflow?
AI doesn’t scale if your compute sits idle. And managing infrastructure shouldn’t feel like a second job.
Ocean Network (@ONcompute) fixes this:
1. Tap into a global pool of GPUs straight from your IDE via Ocean Orchestrator.
2. Pay only for what you use, debug, iterate, and experiment, without wasting budget on idle hardware.
Our Alpha cohort is already running real workloads to stress-test the network. Public Beta goes live March 16, so your next AI experiment can roll out flawlessly.
Explore the docs: https://t.co/YDQtbqfrik
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)
Turn it ON. Secure your spot on the allowlist right now: https://t.co/rNm9B5j0Pz