Meet Ocean: Tokenized AI & Data. Ocean Network Inference is ON: @ONcompute
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Somewhere, someone is writing a 2,000-word LinkedIn essay about the future of AI infrastructure.
You're already running an open-source model on Ocean Network before they've settled on "🚀"
Intelligence stopped being a product you call & became a layer everything else runs on.
The problem isn't picking a model anymore, it's deploying it.
Ocean Network pairs curated models with a tested engine, the right launch flags, and the hardware they need. Pick Qwen, DeepSeek, or GPT-OSS, pick an environment, pay, & launch.
Get started: docs.oncompute.ai/inference/…
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You used to come to Ocean Network (@ONcompute) to rent GPU compute.
Now you come here to also deploy models, serve inference, and ship AI agents on one open platform.
Compute got AI built. Now it's the foundation for turning intelligence into something people can actually use.
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Don’t just take it from us, @oncompute inference is officially making waves and news! 🚀
From plug-and-play templates to live AI models and services, see how seamless inference can be 👇
oncompute.ai/inference
🔥 LATEST: @oceanprotocol Network has launched Inference, allowing users to deploy AI models and applications as dedicated, HTTP-accessible services on dedicated GPU hardware.
Sessions are booked by the hour, with the full cost shown upfront. 🧵
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Say you've got six free hours on an H200. Be honest, how are you going to spend them?
48%
A real workload
21%
A cat video
17%
Both, cat video first
14%
Letting it expire 😢
29 votes • Final results
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This is where AI infrastructure is headed: Every template on Ocean Inference is a working application from the first click: the model, the interface, and the GPU, already running together.
Pick one, and put your idea to work in minutes👇
Ocean Inference templates are built to launch as working applications.
Barry picked one, and with that same click, he had the model, the interface, and a dedicated GPU already running together, ready before he even reached for the keyboard.
Yours is one click away👇
(1/3) 🧵
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Ocean Network Inference is live, and it's exactly what builders and creators have been asking for: dedicated GPUs, transparent pricing, and the full cost on screen before you commit.
This is the next step for @ONcompute, and your first 6 hours are on them. 👇
📢 Inference is ON 😎
Run any AI model on dedicated GPU hardware, starting today.
The GPU is yours while you're on it, the full price is displayed before you commit, and the model is whatever you bring from @huggingface.
Wild concept, we know! 👇
dashboard.oncompute.ai/infer…
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Ocean Protocol retweeted
Now, now... behave! At least until tomorrow when it's officially ON👀
PS: Yes, this has been created with the Ocean Network video-generation template that will be launched tomorrow... among other 😎
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Your coding agent is running something long right now. Where's your laptop?
55%
Open on my desk
32%
Closed, runs elsewhere
14%
I don't run long stuff
22 votes • Final results
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Ocean Network is not just a compute marketplace.
It's the compute layer that lets AI just ask for what it needs.
Ask Claude to "find compute to fine-tune this model on my dataset using Ocean MCP" and it handles the busywork.
It finds available GPUs on Ocean Network, shows you rates so you can pick, runs the job, and hands you the finished model.
Try it for free:
docs.oncompute.ai/on-mcp/qui…
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1945: A room full of vacuum tubes computes artillery tables.
1975: A garage and the idea that everyone could have a computer.
2012: Two GTX 580 GPUs quietly kick off the deep learning era.
2026: An H200 for $2.16/hr on a pay-per-use basis on Ocean Network.
In 80 years, compute went from classified infrastructure to a checkout page.
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What are you actually using compute for these days?
12%
Fine-tuning / Training
25%
Research / experiments
25%
Inference in production
38%
Generative workflows
24 votes • Final results
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We're entering the era where "I need an H200" is a prompt, not a procurement process.
Escrow-secured, billed only for the time your job runs.
Reserving an H200 is as easy as ordering a coffee, and at $2.16/hr, it's cheaper too.
Connect the Ocean Network MCP server to your agent and provision GPU compute for your AI training workloads with a single prompt.
Get started here:
docs.oncompute.ai/on-mcp/qui…
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Compute is becoming programmable down to the node level.
The same way you specify exactly what your code needs, you’ll specify exactly what your compute needs.
That’s already how granular compute configuration works on Ocean Network.
Just "spin up a GPU" is not a strategy.
Before the workload starts, configure the exact compute you need on Ocean Network: GPU, CPU, RAM, disk, and runtime.
Then bring that environment straight into your IDE with Ocean Orchestrator.
H200s are live at $2.16/hr:
dashboard.oncompute.ai/run-j…
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Cloud computing made developers stop thinking about servers. The next shift makes them stop thinking about GPUs.
@ONcompute started as decentralized compute. It's becoming the layer where you stop renting hardware and start just running models.
Stay tuned 👀
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CEO: "Can we build our own ChatGPT?"
Engineer: "Sure."
Skips the trillion-token pretraining run, reserves an H200 on Ocean Network, fine-tunes Qwen3-8B with LoRA instead.
The smartest engineering decision is usually knowing what not to build.
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Before, AI agents could write your training script.
Today, they can find the compute, launch the job, monitor it, and hand you the results.
The interface is changing from dashboards to conversations.
The next cloud UI is no UI.
With ON MCP, provisioning compute becomes another task your agent or LLM can handle.
Connect mcp.oncompute.ai to Claude or other LLMs, and it can:
✅Discover compute across Ocean Network with find_provider
✅Choose the right environment with getComputeEnvironments
✅Launch the job with computeStart
From there, it monitors progress with computeStatus and retrieves the outputs with getComputeResult.
Get started in minutes:
docs.oncompute.ai/on-mcp/qui…
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Your GPU wasn't built to admire your desktop wallpaper. It was built to run workloads.
Ocean Network lets you make your compute available on demand while you stay in control of your hardware and earn from it.
Put your GPU to work:
docs.oncompute.ai/ocean-netw…
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The next layer of competition isn't GPU inventory. It's compute orchestration.
@ONcompute lets you discover providers, choose the exact environment your workload needs, spin it up on demand, and pay only while the job runs.
That's a much better abstraction than renting hardware.
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