Ocean Protocol

The team at @ONcompute asking the question many have been avoiding: Why own an H200 when you only need it for 37 minutes? Rent the compute. Ship the model. #ETHPragma #PragmaLisbon @ETHGlobal

What if your AI agent could find a GPU, compare prices, and launch the job itself, without you opening a dashboard or writing a custom integration? That's now possible with Ocean MCP⬇️ docs.oncompute.ai/on-mcp/quickst…

Distilling GLM 5.2 is basically a five-step workflow now You don't need a research lab or weeks of infrastructure setup anymore. 1) Grab the open, MIT-licensed GLM 5.2 weights: docs.z.ai/guides/llm/glm… 2) Write your distillation script and package it as a Docker image 3) Open Ocean Network Dashboard and choose an H200: dashboard.oncompute.ai/run-job/enviro… 4) Attach your dataset, hit run from VS Code, Cursor, or Windsurf with Ocean Orchestrator and watch the logs stream live: open-vsx.org/extension/Ocea… 5) Download the distilled model straight back into your project folder The interesting part is how little infrastructure you have to think about to get it done

If you're building and training models, this is worth 20 minutes of your time Learn how Ocean Network on-demand compute lets you choose the right @nvidia GPU for every training job Grab your free ticket. See you in Lisbon👇

MCP is becoming the interface layer for agentic AI. Once an agent has an MCP endpoint, it doesn't need provider-specific APIs. It just discovers compute, checks live pricing, runs the job, and retrieves the results. That's what agent-native infrastructure looks like.

Grok, summarize this court case and the outcomes: x.com/i/grok/share/3…

The Singapore Court of Appeal has affirmed the Singapore High Court’s decision that confidentiality has been lost in relation to the emergency arbitration proceedings. The Court of Appeal upheld the High Court’s finding that having regard in large part to Fetch’s conduct, Fetch could not have reasonably believed that confidentiality continued to subsist. Following this decision, the interim orders preserving confidentiality pending the appeal have been discharged. Therefore, we republish the emergency arbitrator’s award here: drive.google.com/file/d/1G7rb3z…

Stop treating your AI agent like a chatbot Connect it to ON MCP and let it discover compute providers, validate algorithms, launch jobs, manage storage, and retrieve results across Ocean Network

Every “I’ll build it when I have time, money, or access” is how ideas stay ideas $2.16/hr for an NVIDIA H200 just took two of those three excuses off the table

We’re bringing @ONcompute to Pragma Lisbon 2026! 🇵🇹 Come find us at the booth and see how easy it is to access on-demand compute for your next AI project. We’ll tell you all about it over a couple of pastéis.

The best fleets aren't owned. They're joined Every GPU on Ocean Network belongs to someone who decided to put it to use, instead of letting it sit idle Every node gets benchmarked, stress-tested, proven, before it touches your job That's what makes our fleet efficient Choose your node here: dashboard.oncompute.ai/run-job/enviro…

You heard it right. A $30K compute giant, sitting right there, ready to run, for less than a cup of coffee. No excuses to keep "someday I'll build that" in your notes app. Just spin it up and ship.

Builders, settle a debate for us: what do you actually rent GPUs for? Vote below, we're curious where most of the real demand sits.

We considered building a data center. Then we noticed everyone already had a GPU. Billions spent on land, power, and cooling, or we just ask the GPUs already sitting online if they're free. Submit the job on Ocean Network, pay for the compute you use, and get on with your day.

For decades, renting compute meant going through whoever owned the data center, on their pricing and their terms. Decentralized compute flips that model. The idle GPU in someone's workstation becomes the resource you rent instead. Ocean Network (@ONcompute) already works this way: a global compute marketplace where capacity comes from the network, not a single provider.

Huge milestone for Ocean Network. Congrats to the team and community 🌊

Stop waiting in line for compute. The hardware shortage was real. The access shortage was a choice. NVIDIA H200s are live on the Ocean Network Dashboard at $2.16/hr. You pay for what you run and nothing else.

Your GPU sits idle most of the day. That's hardware you paid for, depreciating, earning nothing. Ocean Network turns those idle cycles into revenue. List your GPU, builders rent it for their AI workloads, and escrow settles payment on Base the moment the job completes. You set when it's available, the marketplace handles the rest. Start earning here: dashboard.oncompute.ai/run-node/setup

A single NVIDIA H200 carries 141GB of HBM3e memory & delivers up to 4.8 TB/s of memory bandwidth. That's enough to run workloads that would overwhelm most local machines, yet it's on Ocean Network (@ONcompute ) at $2.16/hr. Scale up when the job demands & close when it's done.