@realdogen The move toward parallelized workloads shows @oceanprotocol is thinking about efficiency at scale. That is exactly what enterprises and serious AI builders are looking for.
Parallel execution across distributed environments is not just a feature, it is a necessity for modern AI workloads. OCEAN positioning itself here shows it understands where demand is heading.
The pay per use model is actually one of the most underrated aspects here. Instead of committing to expensive infrastructure, users only pay for what they use, which makes scaling far more efficient and realistic.
The next wave of AI needs compute that’s efficient, flexible, and ready to scale ⚡️
Find the Ocean Network team at Pragma Cannes to talk pay-per-use GPU compute, Ocean Nodes, and how to access high-quality @nvidia GPUs through the Ocean Network dashboard
See you in Cannes 🇫🇷👇
@Poloniex Flexibility is critical in AI development, especially when workloads can change rapidly.
@ONcompute allows developers to scale compute usage up or down without friction, which is a huge advantage.
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Ocean is not just talking about decentralized compute anymore, they are actually making it usable. Going from code to node in a few clicks removes a massive layer of friction.
That kind of simplicity is what drives real adoption, especially for developers who does not want to babysit infrastructure.
Ocean Network (@ONcompute) just bridged the gap between your IDE and global NVIDIA H200s starting from $2.16/hr, setting the new standard for permissionless AI infrastructure
Go claim $100 worth of complimentary credits and start building⚡️
@BloFin_Official@oceanprotocol is quietly doing something powerful, bridging Web2 level usability with Web3 infrastructure.
That is where real value gets unlocked, because users do not have to feel the complexity behind the scenes.
Ocean Network Beta is officially ON ⚡️
This is the moment we've been building toward: Run AI workloads on pay-per-use NVIDIA H200s as low as $2.16/GPU hour, straight from your IDE with a one-click code-to-node workflow.
Head on to https://t.co/89UziJyWMt to claim your $100 complimentary credits in Beta and turn your first job ON!
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AI builders typically care about three things which are speed, cost efficiency, and simplicity. If Ocean can provide easy access to compute directly from developer environments, it solves a major barrier for smaller teams.
Last alpha stretch before Beta launch
Builders have already run 700+ compute jobs across H200s, T4s, and 1060s on Ocean Network
On March 16, users can launch AI workloads from their IDE on globally coordinated GPUs.
Pure automatiON is almost here!👇
@IsabellaDEvans@oceanprotocol is not just talking about AI as a narrative anymore and now taking actions.
It is building infrastructure that supports actual AI workloads, which is the layer where long term value tends to accumulate.
Ocean Network is moving fast.
361 compute jobs in the first 48 hours of Alpha, with the cohort stress testing real workloads end-to-end.
Beta opens March 16 and expands access.
If you want to run GPU compute from your IDE, keep an eye ON 👇
@CoinMarketCap OCEAN is lowering the barrier to entry for AI builders.
When infrastructure becomes easy to access, more developers can experiment, build, and innovate.
If AI agents explode this year, what powers their data access?
Decentralized data infrastructure becomes mission critical — and Ocean Protocol is already there.