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IO

IO io.net

Currency:
🇺🇸 USD
🇺🇸 USD - US Dollar
🇨🇳 CNH - Offshore Chinese Yuan
🇯🇵 JPY - Japanese Yen
🇰🇷 KRW - South Korean Won
🇭🇰 HKD - Hong Kong Dollar
🇦🇺 AUD - Australian Dollar
🇪🇺 EUR - Euro
🇨🇭 CHF - Swiss Franc
🇬🇧 GBP - British Pound
🇨🇦 CAD - Canadian Dollar
🌐 TWD - Taiwan Dollar
🇲🇾 MYR - Malaysian Ringgit
🇸🇬 SGD - Singapore Dollar
🇳🇿 NZD - New Zealand Dollar
$ 0.1736
+$0.003977 +2.29%
$0.18
24H High
$0.1687
24H Low
$6.44
All-Time High
$0.0911
All-Time Low
115.59M
24H Volume
$20.15M
24H Turnover
800.00M
Total Supply
$62.93M
Market Cap
6.69%
24H Range
362.45M
Circ. Supply
--
Prev Open (UTC+8)
--
Prev Close (UTC+8)
45.31%
Circulation Ratio

IOMarket

  • Trend
  • K-Line

IO Summary

io.net is a decentralized GPU network designed to provide scalable and cost-effective computing power for machine learning (ML) applications. It aims to address the scarcity and high cost of GPU resources by aggregating unused GPU capacity from a global network of independent data centers, crypto miners, and consumers. This infrastructure allows AI and ML engineers to access distributed GPU clusters at a fraction of the cost of traditional cloud providers.

The core technology behind io.net involves a sophisticated orchestration layer that connects idle GPUs to users who need them. The platform handles complex tasks such as workload distribution, containerization, and secure data transfer, ensuring efficient and reliable operation across a diverse range of hardware. By leveraging a decentralized model, io.net enhances fault tolerance and censorship resistance, providing a robust alternative to centralized cloud services.

The IO token serves as the native utility and governance token within the io.net ecosystem. It is primarily used for payment for computing resources, rewarding GPU providers, and participating in the network's decentralized governance. Token holders can stake IO to contribute to network security and earn rewards, or vote on key proposals affecting the platform's development and future direction.

io.net positions itself as a critical infrastructure layer for the burgeoning AI industry, offering a flexible and democratic approach to accessing high-performance computing. Its focus on reducing costs and increasing accessibility for ML development could foster innovation and lower barriers to entry for AI startups and researchers globally.

IONews

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