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)

$100 in free GPU credits, no strings attached💡 We're handing out complimentary compute credits so you can put real AI workloads on NVIDIA H200 GPUs before you ever open your wallet Claiming your credits takes minutes: 1. Create your account 2. Complete the short form 3. Verify your details and claim the credits 4. Launch your first containerized job Get it here👇dashboard.oncompute.ai/grant/details

A single developer today can access more raw compute than entire research labs had a decade ago The hardware exists. The demand exists. The only missing piece was a network coordinated enough to connect them That's what Ocean Network is building with 3 core features: 1. Access Nvidia GPUs in minutes - browse, filter by specs, and launch directly from the Ocean Network dashboard 2. Pay only for what you run - escrow-secured transactions protect both the compute provider & the user, with no idle billing or forced bundles 3. Your entire workflow in one place - select a node on the dashboard, carry the exact environment into your IDE via Ocean Orchestrator, and track every job, log, and result in real time Learn how it works: docs.oncompute.ai/ocean-orchestr…

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: docs.oncompute.ai/ocean-orchestr…

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 👇 luma.com/pragma-cannes2…

Your model isn’t slow, your access to compute is. Queues, quotas, and region limits quietly constrain how fast you can actually build & iterate. That’s the part most people don’t question. Ocean Network removes that friction: 1. Pick the exact GPU, CPU, RAM, and disk you need 2. Check real-time availability and pricing, and run jobs instantly 3. Payment is handled via escrow, so you only pay for what actually runs 4. Access pro-grade @nvidia H200s from ~$2.16/hr Learn more: oncompute.ai/gpu-compute

Since our launch on @ProductHunt, one question keeps coming up (and honestly, it’s something that’s haunted traditional cloud users for years): “What happens if a node fails mid-job?” Totally fair, most AI users are accustomed to failures, restarts, and lost progress. And we designed ON with that in mind: 1. Pre-qualified nodes: Every machine is continuously benchmarked before touching your workload 2. Portable jobs: containerized code plus dependencies run consistently everywhere 3. Transparent recovery: if a node fails, your job doesn’t disappear, you can rerun it on the same node when it’s back, or choose another one 4. Clear failure handling: if the node fails, you don’t pay anything, & no funds are taken from escrow. If your code fails, you only pay for the compute that actually ran, and nothing more Lastly, you can even test compute for free before scaling, so you know it runs smoothly in production. Get started: dashboard.oncompute.ai/run-job/enviro…

6. The bonus 🎁 Congratulations, you now understand the flow To get you started, we’re giving you $100 worth of complimentary credits so you can test your workflow before going into full production. Follow up on this post to get started: x.com/ONcompute/stat…

5. Iterate Freely 🔁 Need to tweak something? Just head back to the ON dashboard, adjust your environment, & run again. That's it! Global NVIDIA GPUs, pay-per-use, right from your IDE. Welcome to decentralized compute. (6/7)

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👀 (1/7)

@nvidia H200s starting from $2.16/hr ⚡️ Ocean Network takes you from I want to try this to it’s running on real GPUs in minutes. Here’s the flow: 1. Start with Test Compute Try your workflow first without spending anything upfront 2. Scale on H200s Run bigger compute jobs on NVIDIA H200 GPUs starting from around $2.16/hour 3. Unlock more power Up to 40 CPU cores, 440GB RAM, 1TB disk It gets even smoother with Ocean Orchestrator. Launch jobs from your IDE, skip the usual tool switching, and run real workloads on Ocean Network with outputs pulled back locally. Get started 👇 docs.oncompute.ai/ocean-network-…

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…