Marlin and io.net Collaborate to Accelerate Decentralized AI
Marlin has partnered with io.net to advance decentralized AI through confidential computing, providing developers with secure and scalable GPU solutions for real-world AI adoption in Web3. This strategic collaboration was announced on social media platform X, marking a significant milestone in the industry.
Confidential computing for decentralized AI is becoming increasingly essential for developers to create applications for real-world use. We are excited to partner with @ionet to equip them with the necessary tools to achieve this goal. pic.twitter.com/n7FG0GvP8p
— Marlin (@MarlinProtocol) September 30, 2024
Marlin Enhances Confidential Computing with GPUs
As the demand for secure and efficient processing in AI rises, Marlin is expanding its offerings with high-performance GPUs such as Nvidia H100 and H200, now equipped with Trusted Execution Environments (TEEs) via Intel TDX. This collaboration ensures the protection of sensitive data throughout the AI model’s lifecycle, instilling confidence in developers to explore AI applications without compromising intellectual property.
Ensuring Secure AI Training and Deployment with Marlin’s Oyster Platform
Marlin Protocol’s Oyster platform provides developers with a secure training environment that safeguards training data and model weights. Leveraging TEEs, developers can monetize their AI models while maintaining data privacy. Additionally, users can verify the integrity of AI applications without disclosing their queries.
io.net plays a vital role in this partnership by offering decentralized GPU clusters on-demand, sourced from a global network of stakeholders. These GPUs are crucial for AI and machine learning operations, reducing costs and expanding accessibility for developers worldwide.
The collaboration between Marlin and io.net is set to revolutionize the development and deployment of AI models in decentralized settings. By providing secure and confidential computing tools, this partnership enables developers to create globally accessible AI applications that uphold data privacy and intellectual property rights.