Manta Network has joined forces with Celestia, ORA, and Hyperbolic to introduce a comprehensive suite of AI tools at Manta Pacific. This collaboration aims to encompass the entire AI development lifecycle, including training, deployment, and inference. The initiative is set to leverage Universal Circuits enhanced with Manta AI, backed by Hyperbolic’s DePIN infrastructure for decentralized GPU access, and ORA’s innovative AI oracle.
Manta Network, renowned as the largest modular Layer 2 (L2) ecosystem, enhances its capability to deploy and scale AI applications efficiently. With a modular architecture that facilitates the seamless integration of AI tools and services, Manta Network, supported by Celestia’s modular data availability, provides an unparalleled scalable environment for AGI tool utilization. The network plans to offer new AGI-powered tools and services, enabling developers to enhance applications with groundbreaking features.
Streamlined Access to Advanced AGI Models
ORA is set to revolutionize access to AGI models with its optimistic machine learning protocol (opML), which ensures cost-effective and scalable off-chain inference with on-chain verifiability. The deployment of ORA’s On-chain AI Oracle (OAO) on Manta Pacific will enable scalable inference capabilities, integrating these features into Manta Network’s Universal Circuits for easy access by developers.
Manta Network’s Universal Circuits will soon include AI-as-a-Service toolkits, allowing developers to leverage powerful off-chain AGI models. This enhancement aims to simplify the development of new AI models and applications, providing a robust platform for both experienced developers and those new to AI technology.
Addressing the challenges of scalability and high operational costs, Manta Pacific, with its robust infrastructure supported by Celestia and Hyperbolic, offers an environment that dramatically lowers user costs. Notably, Manta Pacific has already achieved significant cost savings, with $2.5 million saved in gas fees in 2024 alone. With the increased adoption of AI inference, further savings are anticipated.
