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A decentralized data exchange protocol
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доля реакций к просмотрам- 21 июл.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 https://x.com/oceanprotocol/status/2079602362814001331?s=200,38%
- 23 июл.Want to join us at Pragma Lisbon? We've got 5 tickets to give away😄 Meet the Ocean team & learn how to run training jobs on Ocean Network on nvidia H200s while paying only what you use Code expires tomorrow Claim yours with PRAGMAOCEAN: https://luma.com/pragma-lisbon2026 https://x.com/oncompute/status/2080294109059678719?s=46&t=sfyIS0XeZHZd-w68hBLkvw0,38%
- 14 авг.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: https://dashboard.oncompute.ai/run-job/environments https://x.com/oncompute/status/2088265384331976997?s=46&t=sfyIS0XeZHZd-w68hBLkvw0,00%
- 13 авг.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 👀 https://x.com/oceanprotocol/status/2087892678159503585?s=46&t=sfyIS0XeZHZd-w68hBLkvw0,00%
- 12 авг.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 https://x.com/oceanprotocol/status/2087577350007361576?s=200,00%
- 10 авг.Hey anon, before you reserve GPUs, ask yourself: 1️⃣ Did I size my infrastructure correctly? GPU/CPU, RAM, disk space, and time duration. 2️⃣ Am I paying for resources I'll actually use? 3️⃣ Is my workload close to the compute? Keep your code, containers, and datasets near the compute node to minimize startup time and data movement. A good reservation starts long before you click "Reserve." Ocean Network helps you get it right from the start. Get started: https://docs.oncompute.ai/ocean-orchestrator/using-ocean-orchestrator-with-ocean-dashboard https://x.com/ONcompute/status/20868442696299687410,00%
- 7 авг.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. https://x.com/oceanprotocol/status/20857407113542537800,00%
- 7 авг.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: https://docs.oncompute.ai/ocean-network-dashboard/ocean-network-incentives-program https://x.com/oceanprotocol/status/2085402016290132112?s=200,00%
- 6 авг.Kimi K2 Distilled 14B isn't asking for a GPU cluster. It's asking you to stop overthinking infrastructure. An NVIDIA H200 has 141GB of HBM3e, enough for LoRA and QLoRA fine-tuning, and you can rent one on Ocean Network from $2.16/hr. Train your adapter, export it, shut the GPU down, and move on to the next problem. That's what pay-per-use compute is supposed to feel like: https://dashboard.oncompute.ai/run-job/environments https://x.com/ONcompute/status/2085386162659594452?s=200,00%
- 5 авг.We're teaching AI agents to write code. The next step is teaching them to provision compute. ON MCP lets agents discover compute on Ocean Network, choose an environment, and launch jobs using natural language instead of clicking through cloud dashboards. Get started: https://docs.oncompute.ai/on-mcp/quickstart https://x.com/ONcompute/status/2085011695403946247?s=200,00%
- 4 авг.The GPU is no longer the product. Compute is. No engineer wakes up wanting to rent an H200. They wake up wanting embeddings generated, models fine-tuned, datasets processed, and jobs finished. The GPU is just the means to get there. That's exactly what on-demand compute on Ocean Network gives you, with NVIDIA H200s starting at $2.16/hr: https://dashboard.oncompute.ai/ https://x.com/ONcompute/status/20846488033623286210,00%
- 3 авг.Run containerized AI workloads straight from your IDE. Pick an NVIDIA H200 at $2.16/hr from the Ocean Network Dashboard, send the environment straight into Ocean Orchestrator, and launch your compute job without leaving your IDE. Install Ocean Orchestrator: https://open-vsx.org/extension/OceanProtocol/ocean-protocol-vscode-extension https://x.com/oncompute/status/20841889717020348760,00%