https://t.co/WLXlHkvE4z and @leonardoai team up to transform AI image generation with high-performance GPUs and cost-efficient cloud computing. Discover the full story here: https://t.co/BbX7u3apRN
https://t.co/WLXlHkvE4z and @leonardoai team up to transform AI image generation with high-performance GPUs and cost-efficient cloud computing. Discover the full story here: https://t.co/BbX7u3apRN
June 4th - 4AM UTC 📅
Join us to watch the IO Summit live and see what the @ionet team has in store for the future of decentralized AI compute.
📺 https://t.co/FxTCSKXCsn
June 4th - 4AM UTC 📅
Join us to watch the IO Summit live and see what the @ionet team has in store for the future of decentralized AI compute.
📺 https://t.co/FxTCSKXCsn
The Call of Taiko with @Timelesswallet is live on @galxe! 🥁
Complete testnet warm up tasks to earn points & prepare yourself to claim your Taiko Factions badge 🙌
🔍 Ready to become part of the #CallofTaiko movement?
Start your adventure right here: https://t.co/OUaoA0y1v5
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
🎙️ Join our space with @BanyanComputer for a discussion on partnership, crypto, AI, and more.
🗓️ March 6th, 1 PM EST
Set your reminders below - we hope to see you there! https://t.co/1fr9Td2DWL
🎙️ Join our space with @BanyanComputer for a discussion on partnership, crypto, AI, and more.
🗓️ March 6th, 1 PM EST
Set your reminders below - we hope to see you there! https://t.co/1fr9Td2DWL
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
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.