io.net Plans to Launch World’s Largest Decentralized Computing GPU Network for AI
In Brief
io.net plans to establish the world’s largest Decentralized Physical Infrastructure Network (DePIN) designed for AI.
Decentralized cloud service provider io.net, has unveiled its ambitious plan to establish the world’s largest Decentralized Physical Infrastructure Network (DePIN) designed for AI. The initiative, driven by the pooling of one million GPUs sourced from independent computing power providers, aims to alleviate the persistent shortage of GPUs required for AI processing.
Furthermore, io.net’s endeavor seeks to establish the inaugural fully decentralized cloud ecosystem tailored for machine learning applications.
The proliferation of artificial intelligence has elevated GPU power as one of the world’s most scarce and invaluable computational resources. The mounting demand for GPUs exhibits an exponential growth rate of 10 times every 18 months. Concurrently, the cost associated with training expansive AI models has surged by approximately 3,100% annually. As a consequence, the surge has translated into escalating costs and protracted lead times for accessing cloud services, consequently hindering innovation and compelling AI startups to endure prolonged waiting periods.
io.net aims to resolve the ongoing challenge by tapping into dormant GPU resources dispersed across computers globally. This includes independent data centers, whose typical utilization rate is only 12-18%, and crypto mining farms, who have seen a steep decline in profitability after Ethereum switched to Proof-of-Stake and crypto projects such as Solana, Render and Filecoin.
By making GPU computation accessible, flexible and readily deployable, io.net intends to pose a formidable challenge to traditional market players such as AWS, GCP, and Azure.
“AI is one step away from starting the Fourth Industrial Revolution but current GPU providers can’t support the scale and speed of innovation. io.net will be able to connect one million GPUs distributed across the globe in under 90 seconds, giving AI startups access to essential processing power on demand,” said Ahmad Shadid, Founder & CEO of io.net.
The company claims that its solution offered will facilitate one-click deployment of extensive GPU clusters, capable of accommodating intensive machine learning workloads and becoming operational in a mere 90 seconds. io.net asserts that its approach can deliver GPU computing at up to 90% lower costs than the existing incumbent solutions.
To execute this, the company plans to unveil a global network of user-contributed GPUs, bolstered by a rewards system designed to incentivize active participation.
The spectrum of providers is expected to encompass miners, underutilized independent data centers and crypto projects with access to GPU computing resources. The GPU providers will be also be compensated for the computational power they furnish, to foster a thriving economic ecosystem that will nurture the growth of the AI industry.
Key to achieving these objectives, will be the onboarding of crypto mining farms—-who possess vast amounts of GPU power and whose profit margins have been reduced in the current market climate. In repurposing their farms for GPU provision, io.net claims they could make up to 1,500% more profit with less energy consumption.
io.net asserts to possess 36,000 GPUs at its disposal, as it advances towards its one million GPU target.
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About The Author
Victor is a Managing Tech Editor/Writer at Metaverse Post and covers artificial intelligence, crypto, data science, metaverse and cybersecurity within the enterprise realm. He boasts half a decade of media and AI experience working at well-known media outlets such as VentureBeat, DatatechVibe and Analytics India Magazine. Being a Media Mentor at prestigious universities including the Oxford and USC and with a Master's degree in data science and analytics, Victor is deeply committed to staying abreast of emerging trends. He offers readers the latest and most insightful narratives from the Tech and Web3 landscape.
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Victor is a Managing Tech Editor/Writer at Metaverse Post and covers artificial intelligence, crypto, data science, metaverse and cybersecurity within the enterprise realm. He boasts half a decade of media and AI experience working at well-known media outlets such as VentureBeat, DatatechVibe and Analytics India Magazine. Being a Media Mentor at prestigious universities including the Oxford and USC and with a Master's degree in data science and analytics, Victor is deeply committed to staying abreast of emerging trends. He offers readers the latest and most insightful narratives from the Tech and Web3 landscape.
