OceanProtocol News

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: https://dashboard.oncompute.ai/run-job/environments https://x.com/ONcompute/status/2048771652071133204

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 https://x.com/ONcompute/status/2047330947272466642

Barry found Ocean Network on Monday, and now he's out here passing benchmark jobs like a pro. Every pass earns him a share of the 2,000 $USDC weekly rewards pool. Your GPU could be Barry. Stay tuned. 🐙 https://x.com/ONcompute/status/2046944613756502370?s=20

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: https://dashboard.oncompute.ai/run-job/environments

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/

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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