In addition to AI end users, our ecosystem includes two types of co-owners as partners:

• AI Agent Creators, who can easily create AI agents using Launchpad and the AI Agent Template Marketplace.

• AI Agent Traders, who can acquire AI Agent assets to share ownership rights of the AI Agent.

We can see these two roles and their relationship with other modules clearly from the figure below.

ChainOpera AI partners with diverse ecosystem collaborators to enhance its blockchain AI platform's usability, reliability, scalability, efficiency, security, and privacy—with a particular focus on Web3 integration.

Value Exchange Service

Through its Flagship App AI Terminal, ChainOpera AI offers value exchange services featuring smart recommendations and trading capabilities. We actively partner with wallet developers, trading algorithm specialists, trading bot creators, and aggregation platforms to deliver these services.

AI Agent Framework and Zero-code Platform

We seek partnerships with frameworks and platforms that enhance the agent development experience within our Federated AI OS.

AI Model Training and Serving

We currently rely on TensorOpera AI's services for these features, while remaining open to developing improved solutions with our community.

Federated Learning

Our exclusive partnership in this area is with TensorOpera FedML (https://FedML.ai).

AI Hardware Partners

ChainOpera AI collaborates with leading innovators to integrate cutting-edge AI hardware technologies into our blockchain AI ecosystem. This section introduces our key AI hardware partners and the role they play in advancing the usability, security, and efficiency of our platform.

1. DeAI Phone – A Blockchain-ready Smartphone

Overview

DeAI Phone is a next-generation smartphone designed specifically for decentralized applications (dApps) and on-device AI capabilities. ChainOpera AI collaborates with DeAI Phone to:

• Provide a unified interface for token exchanges, wallet interactions, and AI agents.

• Enable AI-powered insights for Web3 transactions.

• Support edge computing for Federated Learning tasks.

Key Features:

• Integrated AI Terminal: Access to ChainOpera’s flagship app for smart trading and recommendations.

• Decentralized compatibility: Native support for dApps and blockchain protocols.

• On-device AI computation: Robust and scalable AI models trained and deployed directly on the phone.

2. Wearable Devices – Personalized AI on the Go

Overview

Wearable devices bring the power of artificial intelligence to users’ fingertips, enabling personalized and mobile intelligence. By partnering with wearable device developers, ChainOpera AI integrates advanced on-device capabilities to:

• Enhance user authentication through biometric and behavioral analysis.

• Enable secure blockchain interactions directly from wearable devices.

• Support personalized AI agents for task automation and recommendations.

Key Features:

• Privacy-first design: All computations are performed locally on the device, ensuring user data stays private.

• Blockchain integration: Seamless interaction with Web3 features through AI-enabled wearables.

3. Robot AI – Intelligent Companions with Privacy Preservation

Overview

Our partnership with Robot AI focuses on developing intelligent robotic companions that prioritize user privacy while enhancing interactions in the blockchain ecosystem. These robots are designed to:

• Act as trusted companions for decentralized tasks and Web3 navigation.

• Preserve user privacy by performing all AI computations locally on the device.

• Provide a seamless and personalized user experience in various applications.

Key Features:

• Privacy-preserving AI: All data processing is executed locally, ensuring that sensitive information remains secure.

• Companion functionality: Robots are equipped with AI agents that adapt to user preferences and behaviors, enhancing the overall experience.

• Blockchain integration: Enable intuitive interaction with dApps and smart contracts, simplifying complex Web3 operations.

Benefits of AI Hardware Partnerships

By collaborating with AI hardware partners like DeAI Phone, wearable device developers, and Robot AI, ChainOpera ensures:

1. ChainOpera Community Promotion: Partners gain access to ChainOpera’s community for promotional activities, inviting users to engage and purchase hardware solutions.

2. Launchpad Support: Assistance in launching hardware-related tokens through ChainOpera’s dedicated launchpad services.

3. Ecosystem Incubation: As a member of the ChainOpera Foundation, partners receive support through grants, accelerators, and other incubation initiatives.

4. AI Technology Support: Leveraging enterprise-grade platform products and academic expertise in federated learning and on-device AI technology.

5. Blockchain Technology Support: Providing Layer 1 and smart contract support to enable mining functionalities during device usage.

Looking Ahead

ChainOpera AI remains committed to expanding our network of AI hardware partners to ensure the best possible integration of blockchain and artificial intelligence. These collaborations are essential for creating a seamless, secure, and scalable Web3 ecosystem.

TensorOpera® AI (https://TensorOpera.ai) is an independent C-corp company in the US. At the same time, it contributes part of ChainOpera AI Foundation.

TensorOpera® AI is the next-gen cloud service for LLMs & Generative AI. It helps developers to launch complex model training, deployment, and federated learning anywhere on decentralized GPUs, multi-clouds, edge servers, and smartphones, easily, economically, and securely.

Highly integrated with TensorOpera open source library, TensorOpera AI provides holistic support of three interconnected AI infrastructure layers: user-friendly MLOps, a well-managed scheduler, and high-performance ML libraries for running any AI jobs across GPU Clouds.

A typical workflow is showing in figure above. When developer wants to run a pre-built job in Studio or Job Store, TensorOpera®Launch swiftly pairs AI jobs with the most economical GPU resources, auto-provisions, and effortlessly runs the job, eliminating complex environment setup and management. When running the job, TensorOpera®Launch orchestrates the compute plane in different cluster topologies and configuration so that any complex AI jobs are enabled, regardless model training, deployment, or even federated learning. TensorOpera®Open Source is unified and scalable machine learning library for running these AI jobs anywhere at any scale.

In the MLOps layer of TensorOpera AI

• TensorOpera® Studio embraces the power of Generative AI! Access popular open-source foundational models (e.g., LLMs), fine-tune them seamlessly with your specific data, and deploy them scalably and cost-effectively using the TensorOpera® Launch on GPU marketplace.

• TensorOpera® Job Store maintains a list of pre-built jobs for training, deployment, and federated learning. Developers are encouraged to run directly with customize datasets or models on cheaper GPUs.

In the scheduler layer of TensorOpera AI

• TensorOpera® Launch swiftly pairs AI jobs with the most economical GPU resources, auto-provisions, and effortlessly runs the job, eliminating complex environment setup and management. It supports a range of compute-intensive jobs for generative AI and LLMs, such as large-scale training, serverless deployments, and vector DB searches. TensorOpera® Launch also facilitates on-prem cluster management and deployment on private or hybrid clouds.

In the Compute layer of TensorOpera AI

• TensorOpera® Deploy is a model serving platform for high scalability and low latency.

• TensorOpera® Train focuses on distributed training of large and foundational models.

• TensorOpera® Federate is a federated learning platform backed by the most popular federated learning open-source library and the world’s first FLOps (federated learning Ops), offering on-device training on smartphones and cross-cloud GPU servers.

• TensorOpera® Open Source is unified and scalable machine learning library for running these AI jobs anywhere at any scale.

FedML (https://FedML) belongs to TensorOpera AI, an independent C-corp company in the US. At the same time, it contributes part of ChainOpera AI Foundation.

TensorOpera® FedML is part of TensorOpera AI cloud. It is a machine learning platform that enables zero-code, lightweight, cross-platform, and provably secure federated learning and analytics. It enables machine learning from decentralized data at various users/silos/edge nodes without requiring data centralization to the cloud, thus providing maximum privacy and efficiency. It consists of a lightweight and cross-platform Edge AI SDK that is deployable over edge GPUs, smartphones, and IoT devices. Furthermore, it also provides a user-friendly MLOps platform to simplify decentralized machine learning and real-world deployment. FedML supports vertical solutions across a broad range of industries (healthcare, finance, insurance, smart cities, IoT, etc.) and applications (computer vision, natural language processing, data mining, and time-series forecasting). Its core technology is backed by many years of cutting-edge research by its co-founders.

TensorOpera®Federate builds simple and versatile APIs for machine learning running anywhere and at any scale. In other words, FedML supports both federated learning for data silos and distributed training for acceleration with MLOps and Open Source support, covering cutting-edge academia research and industrial grade use cases.

• TensorOpera®Federate Simulation - Simulating federated learning in the real world: (1) simulate FL using a single process (2) MPI-based FL Simulator (3) NCCL-based FL Simulator (fastest)

• TensorOpera®Federate Cross-silo - Cross-silo Federated Learning for cross-organization/account training, including Python-based edge SDK.

• TensorOpera®Federate Cross-device - Cross-device Federated Learning for Smartphones and IoTs, including edge SDK for Android/iOS and embedded Linux.

• TensorOpera AI - Federate: TensorOpera FedML's machine learning operation pipeline for AI running anywhere at any scale.