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As AI innovation continues, demand for GPU compute to power AI and ML workloads doubles every 3 months, however some sources of the supply of GPU compute remains underutilized.
By aggregating underutilized sources of supply from independent data centers, crypto mining farms, and consumer GPUs, @ionet_official's abilities to create decentralized clusters accross multiple locations facilitates the creation of a 'structural arbitrage'.
This allows @ionet_official to increase utilization rates to nearly 100%, whilst offering prices up to 90% cheaper than competitors ββ the recent expansion of supply in the network featuring 72 A4000 GPUs only accelerates these capabilities.
@ionet_official is building the internet of GPUs.
As AI innovation continues, demand for GPU compute to power AI and ML workloads doubles every 3 months, however some sources of the supply of GPU compute remains underutilized.
By aggregating underutilized sources of supply from independent data centers, crypto mining farms, and consumer GPUs, @ionet_official's abilities to create decentralized clusters accross multiple locations facilitates the creation of a 'structural arbitrage'.
This allows @ionet_official to increase utilization rates to nearly 100%, whilst offering prices up to 90% cheaper than competitors ββ the recent expansion of supply in the network featuring 72 A4000 GPUs only accelerates these capabilities.
@ionet_official is building the internet of GPUs.
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Gain access to hundreds of thousands of GPUs in seconds with @ionet_official.
Seamlessly access an array of 44K+ GPUs on the @ionet_official network and deploy instantaneously ββ with customization features for level of security and connection speed ββ at lower prices that are 90% cheaper than traditional cloud providers.
Users can select from best-in-class GPUs, such as A100s and H100s, and utilize low-latency compute with a click of a button.
@ionet_official offers unmatched cost-efficiency for on-demand GPU compute. Discover how the world's largest AI compute cloud is being built at https://t.co/ZuybGWvjv9.
Gain access to hundreds of thousands of GPUs in seconds with @ionet_official.
Seamlessly access an array of 44K+ GPUs on the @ionet_official network and deploy instantaneously ββ with customization features for level of security and connection speed ββ at lower prices that are 90% cheaper than traditional cloud providers.
Users can select from best-in-class GPUs, such as A100s and H100s, and utilize low-latency compute with a click of a button.
@ionet_official offers unmatched cost-efficiency for on-demand GPU compute. Discover how the world's largest AI compute cloud is being built at https://t.co/ZuybGWvjv9.
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
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
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.
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
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
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!