The moment you've been waiting for...
๐"Wen listing? Wen airdrop?"
We heard you. We felt you. We prepared for this.
โจ Now, as the bull market roars, we can finally say: "Yes, it is truly coming."
MOMOAI launches TGE sprint!
Introducing MOMOX: Your exclusive pathway to MOMOAI's epic airdrop season.
More than an event - it's our commitment to building Solana's strongest community.
For our believers:
โข Expanded airdrop pools
โข Exclusive MOMOX rewards
โข Surprises you won't want to miss
IYKYK ๐ The wait ends. The journey begins.
Fortune favors the prepared.
And we are ready...
#TGE #Solana #MomoAI #MOMOX
The moment you've been waiting for...
๐"Wen listing? Wen airdrop?"
We heard you. We felt you. We prepared for this.
โจ Now, as the bull market roars, we can finally say: "Yes, it is truly coming."
MOMOAI launches TGE sprint!
Introducing MOMOX: Your exclusive pathway to MOMOAI's epic airdrop season.
More than an event - it's our commitment to building Solana's strongest community.
For our believers:
โข Expanded airdrop pools
โข Exclusive MOMOX rewards
โข Surprises you won't want to miss
IYKYK ๐ The wait ends. The journey begins.
Fortune favors the prepared.
And we are ready...
#TGE #Solana #MomoAI #MOMOX
๐๏ธ Join our space with @BanyanComputer for a discussion on partnership, crypto, AI, and more.
๐๏ธ March 6th, 1 PM EST
Set your reminders below - we hope to see you there! https://t.co/1fr9Td2DWL
https://t.co/ZuybGWvjv9 harnesses the power of hundreds of millions of consumer Apple Silicon chips to power AI/ML workloads.
Engineers can cluster Apple M1/M2/M3 chips for ML and AI compute from anywhere around the world on https://t.co/ZuybGWvjv9, and users with Apple hardware can earn by contributing spare computing resources for AI and ML use cases.
Consumer Apple chips are also eligible to receive boosted rewards in the https://t.co/ZuybGWvjv9 Ignition Program.
Discover the full article by @Cointelegraph on https://t.co/ZuybGWvjv9's expansion to support Apple hardware here: https://t.co/acUHIlhcol
https://t.co/ZuybGWvjv9 harnesses the power of hundreds of millions of consumer Apple Silicon chips to power AI/ML workloads.
Engineers can cluster Apple M1/M2/M3 chips for ML and AI compute from anywhere around the world on https://t.co/ZuybGWvjv9, and users with Apple hardware can earn by contributing spare computing resources for AI and ML use cases.
Consumer Apple chips are also eligible to receive boosted rewards in the https://t.co/ZuybGWvjv9 Ignition Program.
Discover the full article by @Cointelegraph on https://t.co/ZuybGWvjv9's expansion to support Apple hardware here: https://t.co/acUHIlhcol
Building the world's largest AI compute DePIN means https://t.co/ZuybGWvRkH has tens of thousands of independent node operators around the world.
Providing alternatives to centralized cloud providers is more than bringing transactions for compute on-chain, it is tapping into the distributed compute that already exists in the world and making it available to innovators and builders advancing AI and ML.
video from our community member @leeland_sol
Building the world's largest AI compute DePIN means https://t.co/ZuybGWvRkH has tens of thousands of independent node operators around the world.
Providing alternatives to centralized cloud providers is more than bringing transactions for compute on-chain, it is tapping into the distributed compute that already exists in the world and making it available to innovators and builders advancing AI and ML.
video from our community member @leeland_sol
Demand for GPU compute continues to rise, making it much more expensive to access GPUs.
This is because GPUs are used to power the compute capabilities of AI and ML, and as AI continues to innovate, GPUs become increasingly unavailable and hence more expensive.
@ionet_official Cloud is addressing this growing concern by aggregating GPUs that are geographically distributed across multiple locations into a DePIN.
This allows @ionet_official to offer low-latency compute capacity at the scale required by AI and ML companies while staying cost-efficient.
Demand for GPU compute continues to rise, making it much more expensive to access GPUs.
This is because GPUs are used to power the compute capabilities of AI and ML, and as AI continues to innovate, GPUs become increasingly unavailable and hence more expensive.
@ionet_official Cloud is addressing this growing concern by aggregating GPUs that are geographically distributed across multiple locations into a DePIN.
This allows @ionet_official to offer low-latency compute capacity at the scale required by AI and ML companies while staying cost-efficient.