VIII. Team Introduction

The Cottonia team is composed of experts with over ten years of experience in distributed systems, AI scheduling, blockchain architecture, and compute economy design. Team members come from leading global cloud computing companies, AI research institutions, and open-source blockchain projects, bringing deep technical expertise and cross-domain collaboration capabilities. The core goal of the team is to build a globally leading AI-native distributed cloud acceleration network, providing foundational computing power for an intelligent society.

1. Deep Expertise in Cloud Service Technology

Technical Background & Experience

The technical backbone of the Cottonia team has led the development of core modules for multiple international cloud computing platforms, possessing full engineering experience from data center management and distributed system fault tolerance to high-performance container orchestration. The team has accumulated a wealth of reusable technologies in GPU resource virtualization, edge compute collaboration, and elastic scaling architectures. Some members have worked at AWS, Google Cloud, Alibaba Cloud, NVIDIA, and other companies, gaining extensive experience in multi-region, multi-tenant system deployment and performance optimization.

Innovation & Applications

Cottonia’s cloud technology stack innovates upon traditional virtualization architectures by introducing a compute-fingerprint-based scheduling mechanism and adaptive bandwidth scheduling algorithms, significantly reducing AI model cold-start overhead during multi-node switching. By linking AI scheduling algorithms with the underlying virtualization layer, the team achieves automatic compute resource balancing and cross-node live migration, giving Cottonia notable advantages in stability and response speed.

2. Leading Capabilities in Blockchain Technology

Technical Expertise

Cottonia’s core blockchain team has long been active in the Web3 infrastructure space, participating in the design and implementation of Layer-1 consensus protocol optimizations, Layer-2 scaling solutions, and decentralized identity systems (DID). Team members possess skills in smart contract security auditing, on-chain data indexing, and ZK-Proof generation optimization, providing Cottonia with a robust layer of trust and verification.

Innovative Blockchain Applications

Cottonia employs a hybrid architecture in the compute settlement market: off-chain execution with on-chain verification, combined with zero-knowledge proofs and verifiable computing technologies, enabling lightweight on-chain verification of task execution results. Transactions between compute providers and developers are automatically executed via smart contracts, ensuring fairness and resistance to malicious behavior. This mechanism not only enhances system trust but also lays the foundation for Cottonia’s governance and revenue distribution.

3. System Development Capabilities Integrating AI and Compute

The engineering team at Cottonia has deep experience bridging AI framework development and system-level optimization. Members have contributed to extension modules in open-source projects such as PyTorch, Ray, and Kubernetes-AI Operator, gaining deep understanding of the underlying resource consumption during AI model inference.

In Cottonia’s technical ecosystem, AI task execution, resource allocation, and settlement nodes are interconnected through the self-developed “Smart Scheduler Bus,” automatically optimizing compute utilization between compute-intensive and token-consuming tasks.

4. Team Vision & Future Development

The long-term vision of the Cottonia team is to build an AI-native computing foundation layer, enabling developers and intelligent agents worldwide to access computing resources in a smarter and fairer way. In the future, the team plans to:

• Support cross-chain and cross-protocol compute sharing;

• Introduce an AI-Driven Resource Governance system;

• Integrate light nodes and edge computing to provide near-edge computation support for global intelligent agent networks.

The team believes that with the deep integration of AI and cloud infrastructure, Cottonia will become the core engine of the AI compute economy, driving global compute allocation into a new era.