Sunny Shang, President of Huawei Cloud APAC
Huawei Cloud has launched its agentic AI infrastructure in Thailand and opened beta testing for CodeArts Agent, a software development tool that uses AI agents to generate code, answer engineering questions and automate parts of the development process.
The announcements were made at Huawei Cloud Summit Thailand 2026 in Bangkok, where the company gathered government officials, enterprise leaders, partners and developers to discuss how cloud and artificial intelligence can support the country’s digital economy.
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For Thailand, the timing is significant. Like many Southeast Asian markets, the country is trying to move AI from policy statements and pilot projects into everyday use across government services, banking, education and industry. That shift depends less on chatbots alone and more on the underlying infrastructure: local cloud capacity, secure data environments, developer tools and computing systems that can run AI workloads at scale.
Huawei Cloud is positioning its latest launch around that need. The company said its Agentic Infrastructure, now available in Thailand, is designed for building and deploying AI agents — software systems that can plan, reason, use tools and perform tasks with varying levels of autonomy.
Building for the next AI layer
The term “agentic AI” has quickly become one of the industry’s most used phrases, but its practical meaning is straightforward. Instead of simply responding to a prompt, an AI agent can break a task into steps, remember context, interact with other systems and keep working towards an objective. In an enterprise setting, that could mean helping a bank generate and test software, assisting government officers with document workflows, or supporting an HR platform that creates personalised learning plans.
Huawei Cloud’s new infrastructure is aimed at making those use cases easier to deploy. According to the company, Agentic Infrastructure supports efficient token generation, unified scheduling of general-purpose and AI computing resources, continuous learning, and secure autonomous operations.
Surasak Wanichwatphibun, CTO of Huawei Cloud Thailand, introduced four main components under the infrastructure. These include UnifiedBus-based AI Cluster Service, or AICS, which is designed to improve token generation efficiency; Agentic Memory Storage Service, or AMS, which offers petabyte-scale memory storage for long-horizon agent tasks; AgentSphere, a secure runtime environment for AI agents; and CCE VolcanoNext, which allows general computing and AI computing resources to be scheduled together.
These details matter because enterprise AI does not run on enthusiasm alone. AI agents need access to memory, compute, orchestration and security controls. If those layers are weak, companies may end up with impressive demos that are difficult to move into production.
In Southeast Asia, where many businesses still operate with fragmented legacy systems, the challenge is even sharper. Enterprises want AI tools that can connect to existing workflows without creating new security risks or runaway infrastructure costs. Cloud providers are therefore competing not only on model access, but also on whether they can provide the full stack needed to run AI reliably.
CodeArts Agent enters open beta
The second major announcement was the Thailand open beta testing launch of Huawei Cloud CodeArts Agent. The tool combines an integrated development environment, coding models and autonomous development capabilities.
For developers and enterprise technology teams, CodeArts Agent supports project-level code generation, code completion, research and development knowledge Q&A, and unit test case generation. Huawei Cloud said the product also applies Specification-Driven Development, a method that links software requirements more closely to the coding and delivery process in order to maintain quality from the earliest stage of a project.
The release also introduces an “Agent Team” mode, where multiple AI agents can be assembled to work together on development tasks at the same time. In theory, this could help software teams reduce repetitive work and accelerate product delivery.
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That is a message likely to resonate in Thailand and across the region. Southeast Asian companies are digitising quickly, but technical talent remains unevenly distributed. Banks, retailers, logistics firms and public agencies are all under pressure to ship digital products faster, yet many teams face shortages of experienced engineers. AI coding tools are unlikely to replace developers wholesale, but they can change how engineering teams allocate time — shifting routine tasks such as boilerplate code, documentation and test generation to AI assistants.
Still, adoption will depend on trust. Developers need to know whether generated code is secure, maintainable and compatible with internal standards. Enterprises also need clarity on where source code is processed and how proprietary information is protected. That makes Huawei Cloud’s emphasis on security a central part of the launch, not a side note.
Security becomes part of the AI pitch
Huawei Cloud said it has upgraded its security services in two areas: protecting AI systems and using AI to strengthen cyber defence.
Its model lifecycle security solution covers AI infrastructure, training data, model inference and agent applications. The company also said it offers dedicated security zones for enterprises concerned about data sovereignty and privacy. These zones allow customers to manage their own encryption keys while preventing platform administrators from accessing customer data.
Huawei Cloud added that it uses software-hardware integration and hardware acceleration to maintain encryption performance. It has also introduced Data Capsule technology, which ensures that data can only be used within authorised environments and becomes invalid if moved outside a designated security zone.
This reflects a broader concern in the region. Governments and regulated industries in Southeast Asia increasingly want the efficiency of public cloud and AI, but not at the expense of control over sensitive data. Thailand, Indonesia, Malaysia and Vietnam have all been paying closer attention to data localisation, cybersecurity and digital sovereignty as cloud adoption deepens.
At the summit, Thailand’s Ministry of Digital Economy and Society was cited as emphasising the need to accelerate digital transformation through national AI policies, public-sector adoption and stronger public-private collaboration. NECTEC also presented a government AI case study covering AI infrastructure, AI platforms, chatbots and intelligent assistants to support officials and improve citizen services.
A crowded cloud race
Huawei Cloud is not alone in trying to capture Thailand’s AI and cloud demand. Global hyperscalers such as Amazon Web Services, Microsoft Azure and Google Cloud are expanding their Southeast Asian footprints, while Alibaba Cloud and Tencent Cloud have long targeted Chinese-linked enterprises and digital businesses in the region. Local and regional infrastructure players, including data centre and connectivity providers, also remain relevant for customers with strict latency, compliance or hybrid-cloud requirements.
This competition is pushing cloud vendors to localise more deeply. It is no longer enough to sell compute and storage from afar. Providers are building local data centres, forming public-sector partnerships, courting developers and packaging AI tools for specific industries.
Huawei Cloud says it was the first international public cloud vendor to establish local data centres in Thailand and now operates three Availability Zones in the country. The company also says it serves more than 40 government agencies and thousands of enterprises in Thailand. Citing Gartner, Huawei Cloud said it ranks third by revenue in Thailand’s Infrastructure-as-a-Service market.
The summit showcased use cases from Thai organisations, including AI platforms and intelligent assistants for the public sector, AI coding and large language models in banking, and AI-powered learning and skills development platforms for HR.
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For Huawei Cloud, the Thailand launch is part of a wider attempt to move up the cloud value chain, from infrastructure provider to AI operating layer for enterprises. For Thai organisations, the bigger question is how quickly agentic AI can move from a conference-stage concept to a dependable tool inside real workflows.
That transition will require more than powerful models. It will require local infrastructure, stronger governance, developers who understand the tools, and enterprises willing to rethink how work is done. Huawei Cloud is betting that Thailand is ready for that next step.
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