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Home»Altcoins»IONET Partners with Aptos to Leverage Blockchain for Transparent AI Asset Records
Altcoins

IONET Partners with Aptos to Leverage Blockchain for Transparent AI Asset Records

NBTCBy NBTC25/06/2024No Comments3 Mins Read
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  • AI computing protocol IONET has inked a partnership with Aptos Labs.
  • IONET is gradually growing its ecosystem with a series of important partnerships.

IONET (IO), a decentralized AI computing and cloud platform has announced a new partnership with Aptos Labs. Through the partnership, IONET aims to explore how blockchain can provide a transparent and immutable record of AI-developed assets and creations.

IONET Deploys BC8 on Aptos

According to the terms of the partnership, IONET has released its generative AI product known as BC8 on Aptos. IONET’s founder and CEO Ahmad Shadid stated in a YouTube video that the team aims to disrupt the AI and computing industry.

The CEO announced three breakthroughs that will change the way individuals think about AI, compute, and crypto. Shadid mentioned that IONET seeks to grow the Internet of GPU (IOG), the world’s largest Internet computing network.

He added that IONET is establishing an ecosystem where computers can access the central currency. This ecosystem provides a suite of services for building, training, and deploying machine learning models into end on-chain at massive scale.

Simple put, IO represents the currency of computing power. Just as the USD is a standard of all transactions, the IO coin unlocks computing resources on a global scale. IO seeks to become the universal compute exchange medium for large AI startups globally.

Co-founder and CTO of Aptos Labs Avery Ching added that IONET’s compute currency vision aligns perfectly with Aptos’ technical capabilities. He highlighted that Aptos introduces a safer, faster, and more performing way for builders. As a result of the partnership, IONET will spend more time innovating and less time trying to sort through blockchain infrastructure.

Shadid highlighted that Aptos has already demonstrated its high speed and scalability by processing a record 2 billion transactions in a single day and over 25,000 transactions per second.

Looking beyond scalability and speed, Shadid said the platforms both recognize that the future of AI will collide with Web3 and decentralization.

“Decentralized physical infrastructure networks like IONET are building the foundation we need to ensure that AI products and services are accessible to everyone around the world,” Ching added.

The partnership is also a big boost for APT, the native coin of Aptos which will benefit from more exposure in the long term. At the time of writing, APT is up 0.8% in 24 hours to $9.186.

IONET Expands AI Computations

This partnership comes shortly after IONET announced an earlier partnership with Mind Network. As previously reported by Crypto News Flash, Mind Network brings its advanced Fully Homomorphic Encryption (FHE) solution to IONET’s decentralized compute platform to help enhance its product security and boost its ability to service the global GPU shortage.

As regards cost efficiency, the partnership is projected to lower operational expenses for AI computations, making cutting-edge AI technologies more accessible to startups. This is quite notable as AI startups are often burdened with budget constraints. Therefore, the collaboration seeks to provide financial relief to established entities burdened by the high costs of AI development.

In May, IONET also announced an expansion of its GPU infrastructure in partnership with Aethir, a leading enterprise-grade AI-focused GPU-as-a-service provider. Echoing earlier coverage from Crypto News Flash, this represents an important moment in IONET’s ongoing efforts to enhance blockchain and AI compute capabilities.

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NBTC is the editorial account for NBTC News, covering Bitcoin, Ethereum, DeFi, blockchain infrastructure, exchanges, mining, regulation and digital asset markets. The editorial team focuses on clear sourcing, timely updates and practical context for crypto readers.

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