> For the complete documentation index, see [llms.txt](https://whitepaper.aitech.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.aitech.io/getting-started/publish-your-docs-1.md).

# Introduction

Artificial intelligence has evolved into a core layer of enterprise infrastructure, supporting critical operations across industries such as finance, healthcare, government, and technology. As adoption accelerates, organizations are placing increasing importance on scalable compute access, structured automation, cost efficiency, and operational control. At the same time, the convergence of AI and blockchain technologies is introducing new models for coordinating access, payments, and value exchange across digital systems.

Traditional cloud providers enabled the initial wave of AI development, but their limitations become more apparent at scale. Enterprises face rising and often unpredictable costs, limited flexibility in accessing high-performance compute, and reduced transparency over resource allocation. In parallel, the growing complexity of AI-driven operations has created a need for systems that can manage and execute workflows across multiple tools, services, and data environments in a controlled and reliable manner.

This has led to the emergence of two distinct layers within the AI ecosystem. The first is infrastructure, where scalable compute is required to support training and inference workloads. The second is execution, where AI systems operate through structured workflows to automate processes and coordinate tasks. These layers serve different functions and require independent design, particularly in enterprise environments where reliability, security, and governance are essential.

AITECH Cloud Network (ACN) is built around this separation, delivering two independently operating products that address these core requirements. The Compute Marketplace provides enterprise-grade access to distributed compute resources, enabling efficient and flexible deployment of AI workloads. Agent Forge provides a no-code platform for designing, deploying, and managing AI-driven workflows, supporting structured automation across diverse use cases.

Supporting this ecosystem is $ACN, the native digital asset that functions as the economic layer within the network. It enables payments for services, access to platform features, and participation in ecosystem activities, introducing a unified layer that complements both products without coupling their underlying operations.

By combining enterprise-focused AI infrastructure with a blockchain-based economic layer, AITECH Cloud Network positions itself at the intersection of scalable compute, structured automation, and decentralized value exchange, designed to support long-term adoption of AI at an organizational level.


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