Ocean Network

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 oncompute.ai to claim your $100 complimentary credits in Beta and turn your first job ON! (1/8)

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 👇 dashboard.oncompute.ai/grant/details

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👇 oncompute.ai/ocean-orchestr…

@ProductHunt 🤯 We've reached #8 on @ProductHunt today, right there with @nvidia's DLSS 5 👀 Guess it's only fitting: they're making the GPUs, we're bringing them one click away from your IDE! Check it out: oncompute.ai

Ocean Orchestrator is now live on @ProductHunt🥁 unveiling the future of next-gen compute orchestration in your IDEs💻⚡ Showcase your support and help advance the network powering pay-per-use global GPU compute 💪 Drop your upvote here 👇 producthunt.com/products/ocean…

@nazarr_0x And we’ll be here to listen to your feedback! 💪

@ONcompute might run a few jobs later just to see how it feels compared to my usual setup

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 oncompute.ai to claim your $100 complimentary credits in Beta and turn your first job ON! (1/8)

@DARKSEID829909 Glad you asked: ON is Ocean Network, the coolest, newest kid on the GPU compute block. Affordable, pay-per-use compute with escrow, simple workflows, and jobs running straight from your IDE (@code, @cursor_ai, @windsurf, @antigravity) Nice to meet you!

@ONcompute What's ON?

Look, mom, I made it in the news! 🗞️ Ocean Network Beta is live, and some of the biggest names in crypto & tech took notice 👇 Check it our for yourself at oncompute.ai and run your first compute job... on us!

Not bad for day one 😄 H200s at $2.16/hr. Code-to-node in one click. Pay only for runtime. Come see what everyone's talking about → oncompute.ai

And the rest of the crew showed up too 🙌 📌 Business Insider → markets.businessinsider.com/news/stocks/oc… 📌 Yahoo Finance → sg.finance.yahoo.com/news/ocean-net… 📌 Bitget → bitget.com/news/detail/12… 📌 AltcoinBuzz → altcoinbuzz.io/product-releas… 📌 Ainvest → ainvest.com/news/ocean-net… 📌 Chainwire → chainwire.org/2026/03/16/oce… 📌 Picayune Item → smb.picayuneitem.com/article/Ocean-… 📌 Binance Square → binance.com/en/square/post…

That's it. Code-to-node in one click, right? So... Ready to run your first job? Now you can experience complete hardware flexibility and fiercely competitive pricing. Open the ON dashboard, pick your resources, then launch in Ocean Orchestrator. Turn it ON: oncompute.ai P.S. Have idle GPUs? Monetization for independent Node Runners is coming soon! 👀 (8/8)

And the job is complete 🎉 Our pay-per-use escrow means you're charged strictly for what you consumed, with no idle costs. The results are already waiting in your local folder: • Logs • Metrics • Output files Whether it's cleaned datasets, batch inference, or trained models pushing your product forward. All without touching infrastructure😉 (7/8)