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Meet Ocean: Tokenized AI & Data.
Ocean Network BETA is ON: @ONcompute
Joined September 2017
- 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:
- 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 👀
- 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.
- 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



