dApp Development Overview

Building a dApp on OmniTensor begins with accessing its robust, AI-first infrastructure, which integrates blockchain and AI seamlessly. The platform is underpinned by a Layer 1 (L1) Ethereum Virtual Machine (EVM) chain and an AI-specific Layer 2 (L2) known as the AI OmniChain, facilitating decentralized AI compute and secure transactions.

Key elements of OmniTensor’s infrastructure include:

1. Decentralized Physical Infrastructure Network (DePIN)

OmniTensor's GPU sharing network allows developers to tap into community-owned GPUs, offering scalable computational power at a fraction of the cost of centralized cloud providers. This decentralization drastically reduces operational expenses, making AI dApp development accessible to a wider range of developers.

2. OmniChain AI Layer

The L2 OmniChain is chain-agnostic and focuses solely on AI tasks, ensuring scalability and interoperability with both Web2 and Web3 environments. This flexibility allows developers to build dApps that integrate with various ecosystems, enabling the deployment of AI models across multiple chains without constraints.

3. AI Compute and Inference Nodes

Developers have access to OmniTensor’s decentralized AI inference network, which allows real-time AI computation and the execution of AI models without relying on centralized cloud infrastructure. These nodes not only support model training but also decentralized AI inference at scale.

The development process is made easier by OmniTensor’s Software Development Kit (SDK), which provides a unified toolset to accelerate dApp creation. The SDK includes libraries for AI model deployment, dApp management, and integration with the AI OmniChain, thus reducing the need for low-level coding and allowing developers to focus on innovation.