Following the rollout of AI Compute Service in Hong Kong (China), Thailand, Indonesia, and Singapore in 2025, Huawei Cloud MaaS (Model-as-a-Service) is now available, leveraging Huawei’s in-house acceleration engine to support mainstream models and provide customers with stable and high-quality token services.

Huawei Cloud continues to strengthen its collaboration with high-quality open-source models in the industry. Six models from three categories—GLM, DeepSeek, and Qwen—are the first to be supported by MaaS. These models are designed for two major application scenarios: intelligent Q&A and AI coding. They offer one-click access and out-of-the-box model hosting services, covering the entire lifecycle of model management from deployment to inference, fine-tuning, and evaluation. With elastic compute and pay-per-use billing, enterprises and developers can quickly integrate AI capabilities into their service systems without having to worry about the underlying infrastructure. This makes AI accessible to everyone.

Notably, this release includes support for the latest GLM-5 model. GLM-5 has attained state-of-the-art (SOTA) performance in coding and agent capabilities, making it an ideal general-purpose agent foundation for complex system engineering and long-text agent tasks in enterprise environments.

Huawei Cloud’s long-term strategic investment in AI has resulted in a comprehensive suite of AI solutions, including CloudMatrix AI Infra, MaaS, ModelArts (a model training and inference platform), CodeArts (a coding agent), AgentArts (an agent platform), and DataArts (a data agent).

CodeArts and AgentArts will be launched outside the Chinese mainland in the second half of 2026.

Huawei Cloud has established an optimized cloud infrastructure network in the Asia Pacific region. This network comprises five Regions and 18 availability zones (AZs) located in Singapore, Thailand, Hong Kong (China), Indonesia, and the Philippines, ensuring a 50 ms access latency. Additionally, in Malaysia, Huawei Cloud and partners have jointly built a local cloud.

Huawei Cloud AI Compute Service have helped many Asia Pacific customers elevate their cloud journey from simply migrating to the cloud to using AI well. They have benefited from improved productivity and better adaptation to changing environments.

iFLYTEK, a leading intelligent voice and AI company, selected Singapore as the first destination for its global expansion strategy in 2023, naturally extending its collaboration with Huawei Cloud from China to a global scale. Huawei Cloud AI Compute Service helped iFLYTEK quickly deploy their large language model training resources within two weeks. The training remained stable for 60 days without interruption, ensuring zero faults during the release of major versions.

In Vietnam, Green and Smart Mobility (GSM), an emerging green mobility platform, migrated its core operations platform to Huawei Cloud to reduce costs, enhance efficiency, and achieve multi-cloud flexibility. GSM has developed a comprehensive fleet management platform using AI and IoT. By utilizing Huawei Cloud IoTDA and ModelArts AI technologies, GSM analyzes violations and generates risk alerts to ensure driver and passenger safety, thereby fulfilling its mission of promoting green and safe transportation.

Huawei Cloud will continue to invest in AI innovation and provide a secure, stable, and intelligent cloud foundation to help enterprises in Asia Pacific achieve sustainable business growth in the AI era.



Hashtag: #HuaweiCloud #MaaS #AI #Token

https://www.huaweicloud.com
https://www.linkedin.com/company/huaweicloudapac
https://x.com/huaweicloudapac
https://www.facebook.com/HuaweiCloudAPAC
Wechat: 亚太华为云

The issuer is solely responsible for the content of this announcement.

About Huawei

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and we operate in more than 170 countries and regions, serving more than three billion people around the world.

Our vision and mission is to bring digital to every person, home and organisation for a fully connected, intelligent world. To this end, we will work towards ubiquitous connectivity and inclusive network access, laying the foundation for an intelligent world; providing diversified computing power where you need it, when you need it, to bring cloud and intelligence to all four corners of the earth; build digital platforms to help all industries and organisations become more agile, efficient, and dynamic; and redefine user experience with AI, making it smarter and more personalised for people in all aspects of their life, whether they’re at home, on the go, in the office, having fun, or working out. For more information, please visit Huawei online at www.huawei.com

Singapore leads the region in maturity but faces critical scaling bottlenecks.

SINGAPORE – Media OutReach Newswire – 15 April 2026 – ST Telemedia Global Data Centres (STT GDC), one of the world’s fastest-growing data centre colocation service providers headquartered in Singapore, today announced the findings of a new regional research study, Mind the Gap: Bridging the AI Infrastructure Readiness Divide, examining how organisations across Asia are progressing from AI ambition to execution. Commissioned by STT GDC with research partner Ecosystm, the study surveyed more than 600 enterprise and digital-native leaders across nine Asian markets: India, Indonesia, Japan, Malaysia, the Philippines, Singapore, South Korea, Thailand and Vietnam.

High adoption, limited readiness across Asia

The report reveals that AI ambition across Asia is high, with nearly 90% of organisations having embarked on their AI journeys. However, a significant 71% remain in the “Builder” stage of maturity, where initial AI pilots struggle to scale into production environments capable of delivering consistent and measurable return on investment (ROI). In contrast, only 17% of organisations are considered “future ready”, having invested in scalable infrastructure, mature data governance and specialised operational expertise, highlighting a widening readiness gap across the region.

Challenges faced by the Builders

Across Asia, the research identifies a reinforcing cycle that keeps many organisations stuck in pilot mode. AI initiatives are often launched on infrastructure that cannot scale to production, limiting their ability to demonstrate measurable ROI and making it harder to justify further investment in purpose-built, high-density environments. This challenge is compounded by gaps in in-house expertise, with many organisations lacking the specialist operational skills required to manage increasingly complex AI infrastructure at scale.

“Across Asia, organisations are moving quickly from experimentation to implementation, but many are discovering that AI success now depends less on training models and more on foundations,” said Chris Street, Group Chief Revenue Officer of ST Telemedia Global Data Centres. “Without scalable infrastructure and operational readiness in place, it becomes difficult to convert early AI ambition into consistent business value.”

The Sustainability Blind Spot

Despite rising energy and cooling demands driven by AI workloads, sustainability considerations remain secondary for most organisations when evaluating infrastructure options. Although 27% of organisations say ESG goals will actively shape or be central to their future plans, 64% of organisations across Asia continue to prioritise performance or cost, even as power density, thermal efficiency and long‑term total cost of ownership become increasingly critical factors in scaling AI responsibly.

A disconnect between what organisations want and what they need

The study also highlights a persistent disconnect between how organisations evaluate infrastructure partners and the capabilities they actually need to scale AI. Across Asia, organisations continue to prioritise baseline requirements like security and reliability, despite identifying operational expertise, scalability and cost efficiency as their most significant challenges.

Singapore: ahead of the region, but facing a new constraint

These challenges are visible across the region, but they manifest differently in more mature markets. Singapore stands out against the regional baseline with a significantly larger share of organisations having progressed beyond early-stage pilots. While only 17% of organisations across Asia are considered future‑ready, 40% of Singapore organisations have reached the Integrator stage, reflecting stronger early execution and deployment capability.

However, the study also finds that the final step to leadership remains the most difficult. Only 3% of Singapore organisations have reached the “Leader” stage of AI infrastructure maturity, signalling that even in Asia’s most mature AI market, the transition from integration to full leadership remains difficult.

Scaling, not adoption, is now the key challenge

In Singapore, where adoption is more advanced, the constraints have shifted. Limited infrastructure headroom, shortages in specialised operational expertise and continued investment discipline are now emerging as the primary barriers to scaling AI workloads and sustaining leadership.

“For Singapore, AI adoption is relatively mature; the defining challenge now is scaling deployments fast enough to support real‑world demand,” said Mingcheng Lim, Country Head – Singapore, ST Telemedia Global Data Centres. “Whether the country can maintain its lead in the region will depend on whether infrastructure capacity, specialist expertise and investment approaches can evolve at the same pace as AI workloads.”

Sustainability awareness has yet to shape infrastructure choices

In Singapore, regulatory expectations have driven relatively high awareness of sustainability issues. However, sustainability continues to rank among the lowest priorities when organisations evaluate infrastructure providers, highlighting a gap between awareness and action, even as power density, thermal efficiency and long‑term cost efficiency become increasingly important to scaling AI responsibly.

The mismatch between wants and needs persists

As with the wider region, Singapore organisations continue to evaluate infrastructure providers based on familiar baseline criteria, even as their scaling challenges point to a growing need for specialist expertise, speed to scale and sustainable, high‑density infrastructure capability.

These findings suggest that Asia’s next phase of AI progress will be defined not by ambition alone, but by execution capability. For Singapore, sustaining regional leadership will depend on infrastructure strategies that support scale, resilience and speed, enabling organisations to convert early AI momentum into enduring competitive advantage.

To download the report, Mind the Gap: Bridging the AI Infrastructure Readiness Divide, please visit: https://www.sttelemediagdc.com/resources/ai-readiness-assessment-report.Hashtag: #STTelemedia #STTGDC

The issuer is solely responsible for the content of this announcement.

About ST Telemedia Global Data Centres

ST Telemedia Global Data Centres (STT GDC) is one of the fastest-growing data centre providers with a global platform serving as a cornerstone of the digital ecosystem that helps the world to connect. Powering a sustainable digital future, STT GDC operates across Singapore, the UK, Germany, India, Italy, Thailand, South Korea, Indonesia, Japan, the Philippines, Malaysia and Vietnam, providing businesses an exceptional foundation that is built for their growth anywhere. For more information, visit https://www.sttelemediagdc.com/.

The Work Project at Parkview Square: A New Landmark for Premium Coworking

TWP’s newest space occupies Level 7 of Parkview Square, located at the Bugis fringe of Singapore’s Central Business District. Building on its existing presence at Level 10, this expansion deepens TWP’s footprint within one of the city’s most architecturally celebrated addresses and reinforces its commitment to design excellence and premium hospitality.

Parkview Square, distinguished by its cinematic Art Deco-inspired facade and home to the renowned Atlas Bar, provides a compelling backdrop for TWP’s vision of a refined, future-ready work environment tailored for forward-thinking businesses and global teams.

Sheena Goh, Head of Sales of The Work Project said: “Parkview Square stands out from the rest of the buildings in the vicinity by being intentionally historic and cinematic, housing the famous Atlas Bar. Our TWP office in Parkview is designed with the Art Deco inspired designs in mind, catering to the increasing demand for premium and sophisticated workspaces in an iconic building.”

Premium Workspaces and Meeting Rooms Designed for Singapore’s Most Discerning Businesses

The Work Project at Parkview Square offers a curated range of workspace solutions, including private offices, dedicated desks, and collaborative areas. Thoughtfully designed with high-quality materials, ergonomic furnishings, and Art Deco-inspired aesthetics, the space reflects TWP’s hallmark approach to luxurious and functional work environments.

The floor also features fully equipped meeting rooms available for rental, serving as a premium meeting space for businesses across Singapore. For enterprises and entrepreneurs seeking a quality coworking space in Bugis, TWP at Parkview Square offers a well-appointed address supported by the brand’s established approach to workspace design and member experience.

Hashtag: #TheWorkProject

https://theworkproject.com/sg
https://www.facebook.com/theworkproject
https://www.instagram.com/twp_theworkproject/

The issuer is solely responsible for the content of this announcement.

About The Work Project

The Work Project (TWP) is a leading provider of flexible workspaces designed to empower businesses and enhance productivity. TWP creates beautifully crafted modern spaces that are flexible, modular, and customisable to meet the unique needs of each client. By prioritising client branding, expansion capabilities, and individual work cultures, TWP ensures that every workspace becomes an extension of the company it serves.

TWP operates two brands in Singapore: TWP and Bridge+. TWP emphasises on premium design, hospitality-driven service, flexible, tech-enabled, high-end, professional workspaces in the CBD, while Bridge+ focuses on the synergy within the building and community events.