Announcing @UsualMoney Public Mainnet Launch.
It's time to untether from traditional fiat-stablecoins.
Take your Pills and dive deep into the Rabbit Hole. (Details in the thread.)
π Introducing Zero Gravity's first voyage: Zero to Zillion
5% OR 5 bn $ZERO before TGE (increased from 3 to 5%)
In this article, we cover how the $ZERO drop will be distributed via Zero Gravity: Voyages and Chapters and the road from Zero to Zillion
https://t.co/SGH7e0HTzi
Calling all devs and builders! π¨π»βπ»
We need you to get creative and build something cool.
We are participating in the Scaling Web3 Hackathon, in partnership with @encodeclub.
Hackathon Duration: March 25th - April 19th, 2024
Early Bird Reg: Until March 25th
Register and learn more here: https://t.co/gpR3piEUUR
1/ Announcing our partnership with @Bitoro_HQ!
Driven by a team of seasoned TradFi experts with experience managing over $50B in AUM π
Bitoro will be using Orderly to power their groundbreaking leveraged trading protocol π
Read the full details: https://t.co/wq22lyD349
1/ WOOFi Pro traders, we have a surprise for you!
Weβve got 6 seriously epic NFTs and 1,000 @Galxe points for you to claim based on your @_WOOFi Pro trading volume π (1/9)
Get yours here: https://t.co/P4aYTKjhB7
BREAKING: https://t.co/ZuybGWvRkH has raised $30M to build the largest decentralized GPU network in the world and solve the AI compute shortage.
The Series A round was led by Hack VC with participation from Multicoin Capital, 6th Man Ventures, M13, Delphi Digital, Solana Labs, Aptos Labs, Foresight, Amber, Longhash, SevenX, ArkStream, Animoca Brands, Continue Capital, MH Ventures, Sandbox Games.
Prominent industry leaders also joined the funding round, including Solana founder Anatoly Yakovenk, Aptos founders Mo Shaikh and Avery Ching, Yat Siu of Animoca Brands, Sebastien Borget of The Sandbox, and Jin Kang of Perlone Capital.
https://t.co/uFcYdqYmHL
BREAKING: https://t.co/ZuybGWvRkH has raised $30M to build the largest decentralized GPU network in the world and solve the AI compute shortage.
The Series A round was led by Hack VC with participation from Multicoin Capital, 6th Man Ventures, M13, Delphi Digital, Solana Labs, Aptos Labs, Foresight, Amber, Longhash, SevenX, ArkStream, Animoca Brands, Continue Capital, MH Ventures, Sandbox Games.
Prominent industry leaders also joined the funding round, including Solana founder Anatoly Yakovenk, Aptos founders Mo Shaikh and Avery Ching, Yat Siu of Animoca Brands, Sebastien Borget of The Sandbox, and Jin Kang of Perlone Capital.
https://t.co/uFcYdqYmHL
BREAKING: https://t.co/ZuybGWvRkH has raised $30M to build the largest decentralized GPU network in the world and solve the AI compute shortage.
The Series A round was led by Hack VC with participation from Multicoin Capital, 6th Man Ventures, M13, Delphi Digital, Solana Labs, Aptos Labs, Foresight, Amber, Longhash, SevenX, ArkStream, Animoca Brands, Continue Capital, MH Ventures, Sandbox Games.
Prominent industry leaders also joined the funding round, including Solana founder Anatoly Yakovenk, Aptos founders Mo Shaikh and Avery Ching, Yat Siu of Animoca Brands, Sebastien Borget of The Sandbox, and Jin Kang of Perlone Capital.
https://t.co/uFcYdqYmHL
ποΈ Join our space with @BanyanComputer for a discussion on partnership, crypto, AI, and more.
ποΈ March 6th, 1 PM EST
Set your reminders below - we hope to see you there! https://t.co/1fr9Td2DWL
ποΈ Join our space with @BanyanComputer for a discussion on partnership, crypto, AI, and more.
ποΈ 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.