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
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
AI driven design platform @krea_ai is using @ionet to power it's innovative products like Real Time Prompting and other AI enabled design features.
Krea AI's powerful set of tools allow designers to instantly generate, edit, and create in real time.
https://t.co/VxmLjqXNzQ
AI driven design platform @krea_ai is using @ionet to power it's innovative products like Real Time Prompting and other AI enabled design features.
Krea AI's powerful set of tools allow designers to instantly generate, edit, and create in real time.
https://t.co/VxmLjqXNzQ
https://t.co/ZuybGWvjv9 is partnering with Nimble Network to reshape AI development.
Together, we're integrating Nimble's decentralized training and inferencing workloads with https://t.co/ZuybGWvjv9’s extensive compute network. This means developers can now focus more on innovation rather than infrastructure management.
Follow @Nimble_Network to earn points and read more about it on Medium:
https://t.co/fSwri19cgX
https://t.co/ZuybGWvjv9 is partnering with Nimble Network to reshape AI development.
Together, we're integrating Nimble's decentralized training and inferencing workloads with https://t.co/ZuybGWvjv9’s extensive compute network. This means developers can now focus more on innovation rather than infrastructure management.
Follow @Nimble_Network to earn points and read more about it on Medium:
https://t.co/fSwri19cgX
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.
That's a wrap on @LEAPandInnovate 2024!
The https://t.co/ZuybGWvjv9 team made a splash at the largest annual tech conference in Saudi Arabia this year, from kicking off a partnership with @TheSandboxGame to building an even larger base of suppliers and customers for the network.
Watch the highlights from the event below! We look forward to seeing you at our next event - Token2049 in Dubai!
Thanks for the coverage @The_NewsCrypto!
@ionet_official raises $30M in funding to build the largest decentralized GPU network ever, solving the shortage of AI compute.
The Series A round was led by @hack_vc, who were joined by @multicoin, @solanalabs, and more.
Industry leaders such as Anatoly Yakovenk, founder of @solana, and founders of @Aptos, Mo Shaikh and Avery Ching, also participated in the funding round.
Deep-dive into the full article by @The_NewsCrypto here: https://t.co/NhRaJdeyX8
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.