Tim Hill
102 posts
🎙️Odaily星球日报✖️IO.Net #Ai ✖️#Web3 最强叙事DePIN 赛道新星IO.Net有何不同？ 🕰️2024/03/20 晚10:00(BJT) 📌关注@OdailyChina ➕@ionet_official 📌一键三连此条推文，评论区艾特三位好友 💰抽取五位朋友获得100u现金奖励
“a new industrial revolution”
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 –– the recent expansion of supply in the network featuring 72 A4000 GPUs only accelerates these capabilities. @ionet_official is building the internet of GPUs.
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 –– with customization features for level of security and connection speed –– 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 io.net.
Building the world's largest AI compute DePIN means io.net 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
io.net 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 io.net, 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 io.net Ignition Program. Discover the full article by @Cointelegraph on io.net's expansion to support Apple hardware here: cointelegraph.com/news/ionet-app…