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Ocean Protocol
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Ocean Protocol
@oceanprotocol
Meet Ocean: Tokenized AI & Data. Ocean Network BETA is ON: @ONcompute
Katılım Eylül 2017
365 Takip Edilen194.8K Takipçiler
The most transformative tech of the decade is being built on the most broken infrastructure model imaginable, with 3 core problems:
1. Enterprises overprovisioned GPUs during the AI boom, and ~95% of that compute now sits idle.
2. Developers on the other side can't get on-demand GPU access for weeks.
3. And if you reserved a cluster you're not fully using, you're billing for idle silicon that isn't doing anything.
Ocean Network (@ONcompute) built a coordinated global on-demand compute layer, not a single vendor's inventory with a waitlist stapled to it.
Developers browse available compute by specs, GPU type, RAM, and duration, and pay only for what they actually use. Node operators on the other side earn on hardware that would otherwise sit dark.
That includes NVIDIA H200s starting at ~$2.16/hr: dashboard.oncompute.ai
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With the advent of Ocean Network (@ONcompute), the distance between idea and execution is narrowing.
Being able to provision global GPU resources on demand from a unified dashboard changes the speed of iteration.
More iteration cycles, more robust AI systems.
Ocean Network@ONcompute
Embeddings at scale are mostly a solved problem. Waiting around for GPU infrastructure setup so you can run them is not. You're generating embeddings on a 50k-document dataset. Locally, it ties up your machine for hours. A cloud instance adds another 30 minutes of setup before the job even starts. With the Ocean Orchestrator extension, you pick a compute environment from the Ocean Network Dashboard, bring it into your editor, write the script, and hit Start Compute Job. Logs stream into your Output console as it runs. When it finishes, outputs land in your local results folder. Install the extension and run containerized pay-per-use compute jobs: open-vsx.org/extension/Ocea…
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An NVIDIA H200 has 141GB of HBM3e memory and rents for roughly $2.16/hr on Ocean Network (@ONcompute), with jobs running up to 12 hours.
In that time, a small team can run a serious LoRA/QLoRA fine-tune of Llama 3.1 70B on proprietary data, experiment with different training configs, and end the day with a domain-adapted model tuned for their exact workflow.
On narrowly defined internal tasks, these models can outperform frontier general-purpose LLMs.
Many startups spend thousands per month locking themselves into reserved GPU cloud contracts just to access this kind of capability.
On the Ocean Network Dashboard, you spin up an H200 node, run the job, and pay only for the compute you use: dashboard.oncompute.ai/run-job/enviro…
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What if running a GPU job felt like running a local script?
Here's how it actually works:
1. Pick your compute environment inside the Ocean Network Dashboard, browsing live benchmarked nodes by GPU/CPU, RAM, disk, and duration.
2. Fund the job in $USDC through escrow-secured payments, so you're only charged for the compute you actually use.
3. Take that exact setup into your IDE via Ocean Orchestrator, where your code runs on remote GPUs while logs stream live and results come back directly to you.
Get started with NVIDIA H200s on pay-per-use pricing from as low as $2.5/hr: dashboard.oncompute.ai/run-job/enviro…
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The network is live. The nodes are benchmarked. The ambassador program is open. Good time to get involved.
Ocean Network@ONcompute
We're opening a few spots for Ocean Network ambassadors. Step in and help shape how the world accesses compute. 1. What you'll do: Take something complex and make it click. Break down how Ocean Network turns compute into a commodity and peer-to-peer verifiable computation into a global market. Use your format: videos, tutorials, infographics, X carousels. Show up where real conversations are happening. 2. How it works: You apply, we review, you get into a private Discord, pick your first task, and you're in. From there, it runs in monthly cycles: you create, submit, and keep building. 3. Rewards: Your work earns points based on quality, reach, and engagement. The better your content performs, the bigger your share, with bonuses for top contributors. All the details here: oncompute.ai/blog/ocean-net…
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Here's everything you need to get started 👇
Full campaign details: @TeamOcean/ocean-network-zealy-season-2-is-live-4b3236422c33" target="_blank" rel="nofollow noopener">medium.com/@TeamOcean/oce…
Join the campaign: zealy.io/cw/oncompute/q…
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Ocean Network Zealy Season 2 is HERE 🎉
Learn, spread the word, and show the world how Ocean Network coordinates globalized idle GPU compute for AI developers.
Top 100 participants split a $2,000 $USDC pool 💰
Deadline: June 5
Ready to climb the leaderboard? Details below 👇
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A long time ago in a data center far, far away… someone was paying for idle GPUs.
Not anymore.
May the 4th be with you. 🌊
Ocean Network@ONcompute
May the 4th be with your GPU workloads. A distributed fleet of Nvidia H200s, coordinated across the globe and ready to run your AI jobs on demand, with pay-per-use billing and escrow-secured payments. The Force has an address: dashboard.oncompute.ai
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Ocean Network (@ONcompute) is a decentralized compute network where everyone wins.
Users define the resources, pay for what they consume, and the moment the job is done, the billing stops, all secured through escrow-backed payments.
Developers can launch containerized jobs directly from their IDE: every execution isolated, every run reproducible, with signed attestations and on-chain provenance built in.
GPU owners can monetize their hardware by joining the network and earning from real compute jobs routed their way.
And the cherry on top?
Strictly benchmarked NVIDIA GPUs for under $3/hr: dashboard.oncompute.ai
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Compute on Ocean Network is benchmarked, verified, and open for jobs 🖥️
The best part? GPU owners earn from every node that makes it through.
2,000 $USDC is distributed weekly to node runners whose hardware passes strict benchmarks.
Put your GPU to work, start TODAY: dashboard.oncompute.ai/run-node/setup
Ocean Network@ONcompute
Fresh compute nodes are live on Ocean Network 🥞 Last week, we launched the Incentives Program, and GPU owners have been putting their compute to work ever since. Every node has been strictly benchmarked to handle heavy workloads, full scores and history are right there on the dashboard. Pick your node, filter by GPU, CPU, RAM, disk, and duration. Submit your job and pay only for what you use, locked in through escrow-secured payments. Stop sitting on your project. Verified compute is ready when you are: dashboard.oncompute.ai/run-job/enviro…
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Your GPU just got a job offer in Ocean Network 🎉
Every AI training run and inference job needs reliable compute behind it, and now there's a 2,000 USDC weekly pool rewarding the GPU owners actually showing up to provide it 👇
Ocean Network@ONcompute
Ocean Network Incentives are live 🥳 GPU owners, this one's for you, and oh, it's good 👀 We're putting 2,000 $USDC into the weekly reward pool for nodes laying the foundation of our peer-to-peer compute network for AI & ML developers globally. It's time to put your GPU to work🧵 (1/9)
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At this point, renting an H200 on Ocean Network is cheaper than your coffee.
GPUs on demand — GTX 1060s, Tesla T4s, H200s — all under $3/hr on execution-based billing.
See for yourself: dashboard.oncompute.ai/run-job/enviro…
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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: docs.oncompute.ai
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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👇
Ocean Network@ONcompute
Reliable AI infrastructure starts with frictionless compute access. Ocean Network gives developers a production-ready compute layer where everything, from login to execution, works seamlessly. It comes together in 3 core layers: 1. Smart Wallets via @Alchemy: Sign in with Google or email. A wallet is created automatically without friction. 2. Built on @base: Fast, low-cost, and secure execution powered by Ethereum L2 infrastructure. Compute jobs run with minimal overhead and instant settlement in $USDC. 3. Premium @nvidia GPUs via @AethirCloud: Access high-performance compute with execution-based billing. Run your first job on Ocean Network: dashboard.oncompute.ai
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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 🌊
Decentralized Lugano@decentrallugano
One of the defining voices at the intersection of AI, data, and decentralized infrastructure is coming to Decentralized Lugano 2026. @trentmc0, Founder of @oceanprotocol.
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Your guide to getting started with distributed compute:
docs.oncompute.ai/ocean-orchestr…
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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.
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You shouldn’t have to fight infra just to run a training job.
Ocean Network (@ONcompute) keeps compute simple, accessible, and all in one place, so you can go from idea → completed training run, faster.
Try it this weekend → dashboard.oncompute.ai
Ocean Network@ONcompute
Weekend = build time ⚡️ But don’t be like Tom. Spending your whole weekend alt-tabbing between dashboards, juggling infrastructure, and everything but your actual idea… That’s how projects never ship. Skip the chaos. Ocean Network gives you affordable, on-demand GPUs and a streamlined workflow so you can focus on what actually matters: building. Turn one of your ideas into something real → dashboard.oncompute.ai
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From “what if” to actually shipping, with zero infra and streamlined workflows.
Ocean Network (@ONcompute) is really out here making dev life simpler, faster, and actually fun.
Now go build something amazing. 😎
Ocean Network@ONcompute
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: dashboard.oncompute.ai/grant/details
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