IO.NET Partners With Alpha Network to Launch Zero-Knowledge AI Training Platform

Collaborative initiative aims to create robust infrastructure for next-generation applications while prioritizing security and decentralization

  • IO.net and Alpha Network form partnership to create secure AI infrastructure using decentralized GPU resources.
  • Integration combines Zero-Knowledge protocols with decentralized GPU clusters for enhanced data privacy.
  • Partnership aims to reduce AI training costs while maintaining security compliance.
  • Solution enables data sharding and quantized model generation for improved AI training efficiency.
  • Collaboration targets both enterprise and individual developer markets for AI computing needs.

io.net Partners with Alpha Network to Build Privacy-Focused AI Infrastructure

io.net, a decentralized GPU infrastructure provider, announced a strategic partnership with Alpha Network to develop secure AI computing solutions, marking a significant advancement in decentralized AI infrastructure development.

- Advertisement -

Zero-Knowledge Technology Integration

The partnership integrates Alpha Network’s Zero-Knowledge (ZK) verification protocols with io.net’s decentralized GPU network. ZK protocols – cryptographic methods that prove the validity of information without revealing the actual data – will secure AI model training processes across distributed computing nodes.

Alpha Network’s technology addresses data privacy concerns through:

  • Secure data transmission protocols
  • Privacy-preserving storage solutions
  • Protected processing environments

Market Impact and Technical Implementation

The collaboration introduces a new pricing model for AI computing resources. According to Tausif Ahmed, Chief Business Development Officer at io.net, the partnership will "increase the accessibility of decentralized, privacy-compliant AI compute to a broader audience."

Alpha Network CEO Lina Zhang emphasized the technical benefits: "We are collaborating to create a future in which users can access state-of-the-art AI infrastructure without sacrificing privacy or security."

The implementation includes:

  • Decentralized GPU cluster management
  • Data sharding capabilities
  • Quantized model generation

Users can access these services through io.net’s documentation portal, which provides technical specifications and implementation guides. The partnership maintains presence across multiple platforms including Discord and Telegram for community engagement.

- Advertisement -

For enterprise solutions and business inquiries, interested parties can connect through LinkedIn or follow updates on X.

✅ Follow BITNEWSBOT on Facebook, LinkedIn, X.com, and Google News for instant updates.

Previous Articles:

- Advertisement -

Latest News

ClickFix Attacks Surge 517% in 2025, Fake CAPTCHAs Spread Malware

ClickFix attacks using fake CAPTCHA verifications have risen by 517% in early 2025, according...

FHFA Orders Fannie, Freddie to Consider Crypto as Mortgage Collateral

The U.S. Federal Housing Finance Agency ordered Fannie Mae and Freddie Mac to consider...

Retail Investors Can Now Buy Tokenized Shares of SpaceX via Blockchain

Retail investors can now buy blockchain-based fractional shares in SpaceX through Republic. These digital tokens...

EU Commission Eases Stablecoin Stance, Calms Bank Run Concerns

The European Commission downplayed the risk of bank runs linked to stablecoins after concerns...

Iranian Hackers Launch AI-Driven Phishing Attacks on Israelis

An Iranian state-backed Hacking group targeted Israeli journalists, Cybersecurity professionals, and academics in a...

Must Read

9 Best Trading Platforms for Crypto Beginners

Many newcomers to the crypto space are looking for platforms to buy, sell and exchange cryptocurrencies. While there are hundreds of crypto exchanges around...