Introduction

Decentralization is a fundamental principle of blockchain technology, encompassing the following critical components:

Consensus Mechanism: This ensures agreement on transactions that are appended to the ledger.

Execution and Storage System: This maintains the active state of the blockchain.

While enhancing the performance of these components, it may be tempting to implement shortcuts, such as clustering nodes in close physical proximity to reduce consensus overhead or requiring excessive RAM to keep much of the state in memory. However, these approaches significantly compromise decentralization.

Ethereum's execution limits, currently set at 30 million gas per block, are conservative for several valid reasons:

• Inefficient storage access patterns

• Single-threaded execution

• A very limited execution budget, as consensus cannot proceed without execution

• Concerns regarding state growth and its impact on future state access costs

• Difficult to fuse with AI.

The Ethereum Virtual Machine (EVM) plays a crucial role in the blockchain ecosystem. The EVM sector comprises 196 companies actively engaging in various blockchain applications, particularly in smart contracts and decentralized applications (dApps)[1].EVM-related companies have collectively raised approximately $3.1 billion across 174 funding rounds, showcasing significant investor interest in this technology[1]. There are thousands of dApps built on the EVM, contributing to its popularity and usage among developers and users alike. According DeveloperReport.com, EVM is the # 1 ecosystem on every continent.

In addition, the convergence of Artificial Intelligence (AI) and blockchain technology holds immense promise for unlocking a new era of decentralized AI applications. The global blockchain AI market is projected to grow from $561.97 million in 2024 to approximately $3.41 billion by 2032, reflecting a compound annual growth rate (CAGR) of 25.3% during this period [2]. The broader global AI market is expected to reach $2,575.16 billion by 2032, indicating substantial opportunities for decentralized AI systems to integrate and scale alongside traditional AI solutions [3]. With robust investment growth, expansive market projections, and diverse applications across industries, decentralized AI is positioned to become a transformative force in the tech landscape. Successful navigation of its challenges will be essential for realizing its full potential.

However, traditional blockchain platforms face significant hurdles in supporting the demanding needs of AI. This document explores these challenges and introduces ZippyChain, a next-generation blockchain specifically designed to empower AI innovation.

ZippyChain is a high-performance, fully bytecode EVM-compatible Layer 1 blockchain that utilizes sharding technology, fast Byzantine Fault Tolerance (fBFT), and parallel EVM execution. The parallel EVM is particularly crucial for AI applications, as it facilitates interactions among multiple parties and supports the training of AI models that require GPUs with parallel computing capabilities.

ZippyChain can process up to 25,000 transactions per second (TPS) with a block time of just two seconds. Any application developed for Ethereum can be seamlessly redeployed on ZippyChain without modifications; the same bytecode from Ethereum can be utilized on ZippyChain without changes. Thus, ZippyChain offers a high TPS and low gas fee alternative for the EVM community and decentralized AI applications.

By addressing existing challenges through innovative improvements and architectural modifications without sacrificing decentralization, ZippyChain sets the stage for advancements that may soon become recognized standards within the EVM community. Additionally, ZippyChain will provide Layer 2 solutions for decentralized GPU sharing and data storage tailored for decentralized AI applications. The core value proposition of ZippyChain lies in its commitment to decentralization and the fusion of AI with blockchain technology.