TGViewer
Channel Public Channel
OceanProtocol News

OceanProtocol News

@oceanprotocol

A decentralized data exchange protocol
Open in Telegram
Subscribers
2.96K
Photos
1.5K
Videos
24
Links
3.4K

Showing posts older than #3670 · Back to latest

Older Posts 20 shown
Post #3669 256
The Singapore Court of Appeal has affirmed the Singapore High Court’s decision that confidentiality has been lost in relation to the emergency arbitration proceedings. The Court of Appeal upheld the High Court’s finding that having regard in large part to Fetch’s conduct, Fetch could not have reasonably believed that confidentiality continued to subsist.

Following this decision, the interim orders preserving confidentiality pending the appeal have been discharged.

Therefore, we republish the emergency arbitrator’s award here: https://x.com/oceanprotocol/status/2078017924061638907?s=46&t=sfyIS0XeZHZd-w68hBLkvw
X (formerly Twitter) Ocean Protocol (@oceanprotocol) on X The Singapore Court of Appeal has affirmed the Singapore High Court’s decision that confidentiality has been lost in relation to the emergency arbitration proceedings. The Court of Appeal upheld the High Court’s finding that having regard in large part to…
  • ❤ 1
Post #3667 111
Need one H200 for just 20 minutes? That's what you pay for

Most compute contracts make you pay for the biggest GPU config upfront, whether your job needs it for 10 minutes or 10 hours. Ocean Network lets you configure GPU/CPU type, RAM, Disk space, & time duration to run compute workloads on a pay-per-use basis

Configure your exact job: https://dashboard.oncompute.ai/run-job/environments

https://x.com/oncompute/status/2077431748234023383?s=46&t=sfyIS0XeZHZd-w68hBLkvw
Ocean Network - Decentralized P2P Compute Network Run pay-per-use compute jobs on Ocean Network with competitive GPU pricing, editor native workflows, escrow-protected payments, and local outputs.
Post #3666 220
Ideas are easy; shipping is what counts

Build on NVIDIA H200s at $2.16/hr, launch your workload, and let the results speak for themselves.

Claim 100 complimentary tokens and run your first job on Ocean Network: https://docs.oncompute.ai/ocean-network-dashboard/claim-your-compy-tokens

https://x.com/oncompute/status/2077076155396714854?s=46&t=sfyIS0XeZHZd-w68hBLkvw
docs.oncompute.ai Claim Your COMPY Tokens | Ocean Network Docs How to Claim Your COMPY Grant Tokens
Post #3665 109
Full fine-tuning isn't the only way to adapt Llama 70B

LoRA can achieve performance close to full fine-tuning while using a fraction of the GPU memory. QLoRA reduces memory requirements further, making some Llama 70B fine-tuning workloads feasible on a single high-memory GPU

Ocean Network lets you choose the setup that fits your workload and pay only for the compute you actually use: https://dashboard.oncompute.ai/run-job/environments

https://x.com/oncompute/status/2076705715184640141?s=46&t=sfyIS0XeZHZd-w68hBLkvw
Ocean Network - Decentralized P2P Compute Network Run pay-per-use compute jobs on Ocean Network with competitive GPU pricing, editor native workflows, escrow-protected payments, and local outputs.
Post #3664 298
We’re bringing @ONcompute to Pragma Lisbon 2026! 🇵🇹

Come find us at the booth and see how easy it is to access on-demand compute for your next AI project.

We’ll tell you all about it over a couple of pastéis

https://x.com/oceanprotocol/status/2075574807316287873?s=46&t=sfyIS0XeZHZd-w68hBLkvw
X (formerly Twitter) Ocean Protocol (@oceanprotocol) on X We’re bringing @ONcompute to Pragma Lisbon 2026! 🇵🇹 Come find us at the booth and see how easy it is to access on-demand compute for your next AI project. We’ll tell you all about it over a co…
Post #3663 134
The best fleets aren't owned. They're joined

Every GPU on Ocean Network belongs to someone who decided to put it to use, instead of letting it sit idle

Every node gets benchmarked, stress-tested, proven, before it touches your job

That's what makes our fleet efficient

Choose your node here: https://x.com/oceanprotocol/status/2074939163388895546?s=46&t=sfyIS0XeZHZd-w68hBLkvw
X (formerly Twitter) Ocean Protocol (@oceanprotocol) on X The best fleets aren't owned. They're joined Every GPU on Ocean Network belongs to someone who decided to put it to use, instead of letting it sit idle Every node gets benchmarked, stress-tested, proven, before it touches your job That's what makes…
Post #3662 282
You don't pay for compute on Ocean Network. You pay for verified completion of compute✅

Book an H200 for $2.16/hr and your budget is locked in escrow before the job starts

Once the network verifies completion, only your exact runtime cost is released and the remaining funds are automatically refunded 😎

Try it: https://dashboard.oncompute.ai/run-job/environments
Ocean Network - Decentralized P2P Compute Network Run pay-per-use compute jobs on Ocean Network with competitive GPU pricing, editor native workflows, escrow-protected payments, and local outputs.
Post #3661 259
Same GPU energy, different bill Started the day feeling like a superhero. By evening, felt like a cautionary tale, migrating servers at 2 AM while a rubber duck watched in silence Instead, get NVIDIA H200s on-demand at Ocean Network for just $2.16/hr, on a pay-per-use basis Access here: dashboard.oncompute.ai/run-job/enviro

https://x.com/ONcompute/status/2072998359829242246?s=20
Ocean Network - Decentralized P2P Compute Network Run pay-per-use compute jobs on Ocean Network with competitive GPU pricing, editor native workflows, escrow-protected payments, and local outputs.
Post #3660 134
Most embedding workloads are batch jobs.

Text goes in, vectors come out. Nothing about indexing millions of documents needs millisecond latency, yet many teams pay per-token APIs built around it.

Instead, rent an NVIDIA H200 for $2.16/hr, run your embedding workload, & pay only for the compute you use: https://dashboard.oncompute.ai/run-job/environments

https://x.com/ONcompute/status/2072700321621790884?s=20
Ocean Network - Decentralized P2P Compute Network Run pay-per-use compute jobs on Ocean Network with competitive GPU pricing, editor native workflows, escrow-protected payments, and local outputs.
Post #3657 252
Opened the GPU bill. Closed the GPU bill. Sat in silence for a bit.

The expensive part isn't always the compute. It's the capacity you reserve "just in case" and never fully use.
With Ocean Network, you choose the GPU, RAM, CPU cores, and runtime your job actually needs. Billing is per minute, and if your job finishes early, the meter stops too.

Configure it, run it, and compare the difference: https://dashboard.oncompute.ai/run-job/environments

https://x.com/oncompute/status/2071863306441122174
Ocean Network - Decentralized P2P Compute Network Run pay-per-use compute jobs on Ocean Network with competitive GPU pricing, editor native workflows, escrow-protected payments, and local outputs.
Post #3656 119
We considered building a data center. Then we noticed everyone already had a GPU.

Billions spent on land, power, and cooling, or we just ask the GPUs already sitting online if they're free.

Submit the job on Ocean Network, pay for the compute you use, and get on with your day.

https://x.com/oceanprotocol/status/2071517244341829793
X (formerly Twitter) Ocean Protocol (@oceanprotocol) on X We considered building a data center. Then we noticed everyone already had a GPU. Billions spent on land, power, and cooling, or we just ask the GPUs already sitting online if they're free. Submit the job on Ocean Network, pay for the compute you use, and…
Post #3654 254
Memory is the difference between a tool and a mind.

An agent that forgets everything between jobs is starting from zero every time. Persistent storage on Ocean Network changes that. It learns once, writes to a bucket you own, and every job after picks up exactly where the last one stopped.

Now let them share. Open one bucket to many agents through an on-chain access list. One plans. Others execute. The memory is common, the work divides itself.

This is what an agent economy was waiting for. Agents that remember can specialize. Agents that share can coordinate. And all of it stays yours, on your terms.

Try it here: https://docs.oncompute.ai/persistent-storage/quickstart
docs.oncompute.ai Persistent Storage | Ocean Network Docs Instead of uploading data every time you run a job, you store it once in a bucket and mount it into any container that need
  • ❤ 1
Post #3652 262
Forget provisioning.
What if your training job spun up its own isolated container, ran on your selected GPUs, and tore down clean the moment it finished?

Here is the flow:

Open the Ocean Network Dashboard and pick the GPUs that match your specs. Lock the environment you want and take it straight to your IDE.

Write your training job the way you already do, point it at the data, and dispatch. It runs sealed in its own container on the hardware you selected, the data never leaves where it lives, and you get the output back.

The moment it finishes, the container tears down clean.

Learn more about IDE-native GPU deployment: https://docs.oncompute.ai/ocean-orchestrator/using-ocean-orchestrator-with-ocean-dashboard
docs.oncompute.ai Using Ocean Orchestrator with Ocean Dashboard | Ocean Network Docs Seamlessly connect your local development environment (VS Code, Cursor, Windsurf) with the powerful compute resources available on the Ocean Nodes Dashboard.
  • 🔥 1
Post #3651 134
Stop waiting in line for compute.

The hardware shortage was real. The access shortage was a choice.

NVIDIA H200s are live on the Ocean Network Dashboard at $2.16/hr. You pay for what you run and nothing else

https://x.com/oceanprotocol/status/2069106670664290795?s=46&t=sfyIS0XeZHZd-w68hBLkvw
X (formerly Twitter) Ocean Protocol (@oceanprotocol) on X Stop waiting in line for compute. The hardware shortage was real. The access shortage was a choice. NVIDIA H200s are live on the Ocean Network Dashboard at $2.16/hr. You pay for what you run and nothing else.
Older posts →
Threads Profile ViewerView any public Threads profile without an account.Open ThreadLook →Writing with AI? Make it sound human.Metric37 rewrites AI drafts so they read naturally. Free AI detector, 1,500 words free.Try Metric37 →