Bitroot Public Chain Invited to Attend Tencent Cloud Singapore AI Conference, Discussing the Future Alongside Solana

Title: Bitroot Public Chain Invited to Attend Tencent Cloud Singapore AI Conference, Sharing the Stage with Solana to Discuss the Future

Author: Rhythm BlockBeats

Source:

Repost: Mars Finance

Introduction

On May 19, an AI-themed event hosted by Tencent Cloud was held in Singapore. The event focused on topics such as AI infrastructure, enterprise AI deployment, AI Agents, Web3 verifiable computing, and fintech, inviting industry representatives from cloud services, public chain ecosystems, payment networks, fintech, and investment institutions.

As an important financial and technological hub in Asia, Singapore has increasingly become a key node for AI, Web3, and digital finance companies to expand into Southeast Asia in recent years. Tencent Cloud’s choice to hold the AI event in Singapore also reflects that major cloud service providers are paying more attention to AI application deployment, computing power services, enterprise solutions, and the integration of new digital infrastructure.

According to the event information, attendees included Tencent Cloud Computing Director Zhou Kailun, Solana Foundation Asia-Pacific Payment Growth Lead Anna Zhang, Bitroot CEO Juan Jose, WIDTH Co-founder and CEO Chionh Chye Kit, the9bit CEO Martin Hoon, and ARK Wealth Singapore COO Kevin Liu, among others.

From the lineup of participants, this event was not just a showcase of AI products but a cross-disciplinary exchange centered on “How AI integrates with cloud services, payment networks, on-chain infrastructure, and fintech.” Tencent Cloud represents Web2 cloud computing and enterprise services, Solana represents a mature public chain ecosystem and on-chain payment exploration, while fintech and wealth management institutions highlight AI’s application needs in real business scenarios. Against this backdrop, Bitroot, an emerging public chain project focused on high-performance Layer 1 and AI-native architecture, was invited to participate, making it one of the noteworthy representatives of Web3 infrastructure at the event.

High-profile AI event repositions Web3 infrastructure into the discussion

Over the past year, the focus of AI industry attention has shifted from model capability competition to enterprise deployment, data governance, Agent workflows, and automation decision-making. For cloud service providers and fintech institutions, AI commercialization depends not only on the models themselves but also on a comprehensive set of infrastructure capabilities such as computing power, data, permissions, security, and auditing mechanisms.

This also explains why Web3 infrastructure has begun to be included in AI discussions. As AI Agents evolve from “dialogue tools” to “execution entities,” they may need to call APIs, initiate payments, manage assets, settle transactions, and even participate in multi-party collaboration workflows. In these scenarios, traditional centralized systems and verifiable on-chain infrastructure could complement each other.

Blockchain’s programmable assets, automated settlement, verifiable states, and on-chain auditing capabilities directly address the trust issues faced by AI Agents in finance, payments, and enterprise collaboration scenarios. Therefore, Tencent Cloud’s Singapore AI event placing public chain ecosystems, cloud services, payment growth, and fintech representatives in the same discussion space signals that the next phase of AI competition is shifting from single-point technological capabilities to a multi-faceted infrastructure competition.

Why was the yet-to-launch Bitroot invited?

For Bitroot, this invitation is quite representative. Unlike Solana, which already has a mature mainnet and a large ecosystem, Bitroot is still in the testnet and ecosystem expansion stage before its mainnet launch. A new Web3 project that has not yet gone live with a mainnet being included in Tencent Cloud Singapore’s AI event indicates that its technological direction and narrative approach have already attracted some industry attention.

From an industry logic perspective, the reason for Bitroot’s invitation may not be its current ecosystem size but rather its infrastructure focus, which aligns well with the needs of the AI era.

First, AI Agents and on-chain automation require a higher-performance underlying network. Traditional public chains still face limitations in throughput, latency, and costs, while AI Agents in the future may demand higher frequency, more continuous, and more automated interactions. This means the underlying chain must have stronger concurrency processing capabilities and lower execution costs.

Second, developer compatibility remains a key factor for new public chains to build an ecosystem. Bitroot’s choice of EVM compatibility means it does not aim to force developers to migrate to unfamiliar environments but hopes to provide a higher-performance execution environment while retaining Ethereum developer tools. For an early-stage public chain, this approach helps lower the difficulty of ecosystem cold start.

Third, AI-native architecture is becoming an important differentiator for next-generation infrastructure projects. Compared to simply emphasizing TPS or transaction fees, Bitroot focuses more on AI Agents, on-chain automation applications, and verifiable execution scenarios. This positioning makes it easier to enter discussions on AI and Web3 integration, rather than being just another high-performance public chain.

Therefore, from an industry perspective, it indicates that some cloud service providers, fintech, and Web3 ecosystem participants are paying attention to new infrastructure projects that are not yet on mainnet, especially those designed around AI-native, high-performance execution, and developer compatibility Layer 1 networks.

Discussion alongside Solana: the value of emerging Layer 1 projects increases

The participation of Anna Zhang from Solana Foundation Asia-Pacific Payment Growth adds a mature public chain ecosystem and on-chain payment perspective to the conference. Solana has been advancing in high-performance public chains, payments, and consumer applications, becoming an important example in the Web3 infrastructure field.

Discussing Bitroot alongside established ecosystems like Solana has its own significance. It reflects that in the context of AI and Web3 integration, the industry is not only paying attention to already scaled public chains but also to potential new variables in the next-generation infrastructure.

For an emerging Layer 1 like Bitroot, the fact that its mainnet is not yet live means its technical route is still malleable. If its parallel execution, EVM compatibility, and AI-native design can be validated in future testnets and mainnets, it could differentiate itself in AI Agents, on-chain automation, and high-frequency application scenarios.

Especially as AI gradually becomes the industry’s mainline, market requirements for public chains may change. Past competition mainly revolved around DeFi, NFTs, GameFi, and asset issuance; future competition may focus more on Agent execution, on-chain settlement, automated finance, data calls, and verifiable computing. Entering industry discussions at this stage makes Bitroot particularly worth noting.

Juan Jose: AI competition will shift from models to data, scenarios, and trust

In the roundtable discussion, Juan Jose, CEO of Bitroot, stated that future AI enterprise differences may no longer be just about model performance or parameter scale but a comprehensive competition involving data, scenarios, and trust mechanisms.

He believes that as open-source and closed-source models continue to iterate, model capability is accelerating toward commodification. The true long-term moat for enterprises lies in whether they possess high-quality industry data, can deeply integrate into specific business processes, and can establish long-term trust with users and institutions.

This judgment aligns with current AI industry trends. More companies are realizing that AI’s value is not just content generation or simple Q&A but whether it can penetrate real business processes and continuously produce results in a controllable, auditable, and evaluable environment.

Juan Jose further pointed out that enterprise AI deployment still faces challenges such as reliability, data infrastructure, and organizational change. Especially in high-risk scenarios like finance, payments, and auditing, AI systems must meet not only capability but also stability, permission control, and auditability requirements.

AI Agents require high-performance and verifiable execution environments

AI Agents are another key focus of this event. Juan Jose said that the industry is still in the “assistive Agent” stage, and true enterprise-level autonomy will take time. The reason is that once Agents enter enterprise systems, they face issues like multi-step task error accumulation, security permissions, legal liabilities, and interpretability.

However, the long-term direction of AI Agents is relatively clear. Future Agents will not only provide suggestions but also call services, manage accounts, initiate transactions, execute strategies, and complete settlements. This requires underlying infrastructure to support higher-frequency interactions and more trustworthy execution.

In this regard, Bitroot’s technical narrative aligns strongly with industry needs. According to the project team, Bitroot adopts an EVM-compatible approach and improves on-chain execution efficiency through optimistic parallel EVM and Pipeline BFT consensus mechanisms, aiming to provide high-performance, low-cost on-chain execution environments for AI Agents, DeFi, and Web3 applications.

For AI + Web3 scenarios, performance is not just a technical metric but a prerequisite for application viability. If each Agent operation incurs high costs and long confirmation times, many automation scenarios will be difficult to scale. Conversely, low latency, low cost, and high throughput on-chain environments could become the foundation for AI Agents to reach real-world applications.

Testnet will be the key validation window for Bitroot

Bitroot is also advancing its testnet and ecosystem infrastructure. According to the project team, its testnet has entered phase 5.0, with upgrades involving network performance, cross-chain components, ecosystem application deployment, and node optimization.

Testnet data shows that Bitroot has demonstrated technical implementation capabilities: over 1 million network addresses, an average of over 50,000 on-chain transactions daily, peak TPS reaching 50,000+, and an average block time of less than 0.3 seconds.

For an emerging public chain not yet launched on mainnet, the testnet stage has dual significance. On one hand, it serves as a validation window for the technical route, allowing developers to observe network performance, contract compatibility, tooling maturity, and node stability; on the other hand, it is a crucial phase for ecosystem cold start, where community users and developers can participate early in network building.

Industry outlook: the competitive landscape of high-performance AI-native public chains

From the discussions at this summit, it is clear that the integration of AI and Web3 is shifting from conceptual narratives to concrete infrastructure issues. Different projects are choosing different technical routes:

Solana, with its high throughput and mature ecosystem, has built a large developer community and DeFi ecosystem; Monad focuses on performance optimization of parallel EVM; Aptos implements optimistic parallel execution via Block-STM. Bitroot’s differentiation lies in its pursuit of not only extreme public chain performance but also the native integration of AI computing capabilities into the chain’s core architecture—from useful work proof in consensus, to parallelized EVM at execution, to distributed training and inference networks at the application layer, forming a complete decentralized AI stack.

For next-generation infrastructure projects, how to support more complex AI application calls while maintaining security and decentralization will be a core competitive challenge.

Conclusion

The signals from the Singapore AI summit indicate that AI is becoming the main theme of the next phase of technological industry evolution. The new demands generated by AI Agents, automated finance, on-chain data, and verifiable execution are raising higher requirements for underlying infrastructure.

High-performance infrastructure is not just a narrative choice for a single project but an inevitable direction in the process of AI and Web3 scaling into real-world applications. Bitroot’s full-stack architecture of “parallelized EVM + AI-native computing network,” showcased alongside mature ecosystems like Solana at Tencent Cloud’s summit, demonstrates the technical depth and industry ambition of the new generation AI public chain.

In the future, underlying networks capable of balancing performance, compatibility, security, and verifiability will have greater opportunities to support next-generation applications and occupy a key position in the long-term trend of AI and blockchain integration. Bitroot’s performance warrants ongoing attention.

About Bitroot

Bitroot is a Layer 1 public chain project focused on parallel execution and AI-native architecture. Using EVM compatibility, it explores providing high-performance, low-cost on-chain execution environments for AI Agents, DeFi, and Web3 applications through parallel execution mechanisms, consensus optimization, and AI-related interface design.