Nillion and io.net Partner to Transform Privacy-Preserving AI Compute Solutions

New York, New York, February 4th, 2025,

Nillion and io.net have announced a strategic partnership to integrate io.net’s decentralized GPU infrastructure with Nillion’s blind computation technology, aiming to enhance privacy-preserving AI inference and deployment.

Advancing Privacy-First Computing

The collaboration introduces unique data security for AI workloads through a unified platform that protects both input data and model parameters. This advancement enables enterprises to deploy sensitive AI applications while maintaining strict privacy standards and regulatory compliance, addressing a critical barrier to AI adoption in regulated industries.

By leveraging io.net’s extensive network of geo-distributed GPU clusters, the partnership reduces deployment costs and wait times for privacy-enhanced AI operations. The combined infrastructure allows organizations to scale their AI implementations without compromising on data security or computational efficiency.

Enterprise AI Development

The partnership delivers several key innovations for enterprise users, including:

  • Encrypted data processing across distributed GPU networks
  • Reduced costs for privacy-preserving AI deployments
  • Accelerated model inference with built-in privacy safeguards
  • Seamless integration with existing AI development workflows
  • Enhanced compliance capabilities for sensitive data operations

Following Nillion’s mainnet launch, the collaboration aims to demonstrate GPU-powered blind computation inference within Nillion clusters, showcasing the potential for high-performance privacy-preserving AI applications.

Enabling New AI Use Cases

This integration creates opportunities across multiple sectors where data privacy is paramount, including healthcare, finance, and enterprise AI. Organizations can now process sensitive data at scale while maintaining it through cryptographic techniques and distributed computing.

“This partnership with io.net is a significant step towards our mission of providing fast, secure, decentralized computation,” said Lukas Bruell, Head of Ecosystems at Nillion. “When we work together, we can provide users all around the world with enhanced privacy and computing power.”

“In addition to improving our service offerings, our partnership with Nillion pushes the limits of what decentralized computing can accomplish in terms of privacy and scale,” said Tausif Ahmed, Chief Business Development Officer at io.net.

Technical Innovation

The collaboration pioneers several technical breakthroughs.

  • Advanced split inference implementations combining multiple privacy-enhancing technologies
  • Optimized zero-knowledge proof generation for AI applications
  • Reduced latency for privacy-preserving computations
  • Enhanced scalability for encrypted AI workloads

These innovations enable developers to build sophisticated privacy-first applications without sacrificing performance or user experience.

About io.net

io.net is a decentralized physical infrastructure network (DePIN) that deploys and manages on-demand, decentralized GPU clusters from geo-distributed sources. Hundreds of thousands of GPUs are accessible today in IO Network, and this Internet of GPUs is specifically architected for low latency, high processing demand use cases like AI/ML ops and cloud gaming.

Website | Documentation | X | Discord | Telegram | LinkedIn

About Nillion

Nillion is a pioneering technology company specializing in blind computation and privacy-preserving infrastructure. The company’s innovative architecture enables secure, distributed computation while keeping both input data and model parameters encrypted. 

By advancing zero-knowledge-proof technology and secure computing methods, Nillion empowers organizations to process sensitive data without compromising privacy or security. The platform’s infrastructure is specifically designed to support enterprise-grade AI applications, secure data processing, and privacy-first computational needs across industries.

Discord | X | GitHub | Telegram 

Contact

Mr
Jamie Kingsley
Io.net
j.kingsley@theprgenius.com

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