Join https://t.co/WLXlHkvE4z CSO/CMO @0xHushky and APAC Lead @TheAntiApe to talk about the growth of DePIN and the impact that decentralized compute networks will have on AI
Compute is the digital oil powering a new industrial revolution with AI at it's center.
@ionet_official is building the petrodollar - IO.
This is compute as a currency.
In just 10 days since https://t.co/ZuybGWvRkH's Ignition program launched, the number of workers has grown from 26,000 to over 51,000 GPUs!
Listen to @angelaywyi give alpha about how consumer @Apple M1 / M2 / M3 chips are supported by https://t.co/ZuybGWvRkH (and are eligible to receive boosted rewards in the Ignition program).
In just 10 days since https://t.co/ZuybGWvRkH's Ignition program launched, the number of workers has grown from 26,000 to over 51,000 GPUs!
Listen to @angelaywyi give alpha about how consumer @Apple M1 / M2 / M3 chips are supported by https://t.co/ZuybGWvRkH (and are eligible to receive boosted rewards in the Ignition program).
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.
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.
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