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Today, Ronin has about 1.2M daily active users ⚔️
How can we scale that to 50 million – or more?
We believe ZK rollups are the answer.
Read Ronin head researcher @phucthai95's thoughts on the future of Scalability on Ronin.
Full article👇
📜 : https://t.co/KViEPKSHO8
@Psycheout86 RIP decentralization. Not a fan of this at all.
How can we be sure that this is not just some petty “i don’t like how the dude talks to me” type of issue?
Can you please explain your view on decentralization and open network? Why not do it now?
The Ignition Program is live!
Connect a device and supply compute to the network at https://t.co/omQ1rhhTy6.
Visit @Galxe to view and complete quests.
Join the official Discord and participate in the community.
This is the start of AI for the world.
What makes @ionet_official different from other GPU aggregators on the market?
@ionet_official's ability to form decentralized clusters by aggregating GPUs across multiple locations.
Without clustering, it would be virtually impossible to train today's machine learning models, which are highly complex.
This creates the opportunity for a 'structural arbitrage', allowing @ionet_official to offer unmatched cost efficiency and low latency GPU compute up to 90% cheaper than the competition.
What makes @ionet_official different from other GPU aggregators on the market?
@ionet_official's ability to form decentralized clusters by aggregating GPUs across multiple locations.
Without clustering, it would be virtually impossible to train today's machine learning models, which are highly complex.
This creates the opportunity for a 'structural arbitrage', allowing @ionet_official to offer unmatched cost efficiency and low latency GPU compute up to 90% cheaper than the competition.
Over $400K in Worker earnings (just $100K in the last 21 days) in just four short months since launch.
40,000+ Workers in the network and over 3,800 GPU clusters deployed.
AI/ML companies can create clusters of up to tens of thousands of GPUs for both model training AND inferencing.
Over $400K in Worker earnings (just $100K in the last 21 days) in just four short months since launch.
40,000+ Workers in the network and over 3,800 GPU clusters deployed.
AI/ML companies can create clusters of up to tens of thousands of GPUs for both model training AND inferencing.