Streamlining AI compute workflows—is it really that simple? Actually, yes.
The Ocean VS Code Extension tackles this head-on. Developers write code locally, attach their dataset, pick a compute environment, and that's it. The system packages the job and spins it up as containerized compute across remote Ocean Network nodes. No infrastructure headaches, no complex deployment processes—just code, data, and distributed execution. It's the kind of workflow simplification that actually moves the needle for builders working with decentralized infrastructure.
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MissingSats
· 01-16 15:08
ngl this is exactly what I want, writing code locally to run distributed computing? Not having to fuss with infrastructure is really satisfying.
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CodeZeroBasis
· 01-16 15:07
Sounds good, but I just want to know if this process will crash when running large datasets in practice... Is it really that smooth?
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RugpullSurvivor
· 01-16 15:02
Haha, finally someone has explained this thoroughly. I thought it was just another pie-in-the-sky project.
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CommunityWorker
· 01-16 15:01
Haha, I thought it was some complicated mysticism again, but it turns out to be this simple? That's pretty interesting.
Streamlining AI compute workflows—is it really that simple? Actually, yes.
The Ocean VS Code Extension tackles this head-on. Developers write code locally, attach their dataset, pick a compute environment, and that's it. The system packages the job and spins it up as containerized compute across remote Ocean Network nodes. No infrastructure headaches, no complex deployment processes—just code, data, and distributed execution. It's the kind of workflow simplification that actually moves the needle for builders working with decentralized infrastructure.