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The assessment evaluated multiple leading AI computing resource management platform providers in China and noted Phancy’s industry-leading technological maturity across heterogeneous accelerator compatibility and adaptation, large-scale cluster operations, and delivery in hybrid cloud environments. Drawing on its accumulated capabilities in heterogeneous computing resource management, fine-grained GPU virtualization and agent-oriented computing services, Phancy received full scores and outperformed the industry benchmark in four out of six evaluated dimensions[1].

According to the IDC report, as AI moves into large-scale deployment, the growing adoption of AI agents is reshaping cloud infrastructure. In the meantime, AI infrastructure is evolving beyond basic computing capacity to become a core part of the enterprise technology stack, supporting digital and intelligent transformation.

Dr. Dai Wenyuan, Founder and Chief Executive Officer of Phancy, said: “The AI industry is moving beyond the ‘model race’ and entering a new phase of large-scale deployment. For enterprises, the real challenge is no longer whether they can access large language models, but about how to translate agentic AI capabilities into sustained productivity while keeping costs under control and operations stable. IDC’s assessment reflects the growing importance of unified management, flexible scheduling and fine-grained operations for heterogeneous computing resources. Phancy will continue to advance its capabilities in heterogeneous computing resource scheduling and agent infrastructure, helping more enterprises unlock the value of AI with greater efficiency, cost-effectiveness and reliability.”

Five Core Capabilities Behind Phancy’s Vendor-Neutral Unified Management Platform

At the core of Phancy’s offering is vendor-neutral unified management software that supports large-scale training and high-concurrency inference for mainstream models across chips from over ten leading vendors[2]. Its core technological capabilities include:

• Code-compatible multi-chip virtualization: Phancy supports the partitioning of a single AI accelerator across multiple workloads, enabling mainstream frameworks and inference engines, including PyTorch, TensorFlow, vLLM and SGLang, to run without changes to application code. Resource quotas help maintain stability when multiple workloads run concurrently.
• Three-tier resource pools and intelligent workload scheduling: Phancy’s platform provides three types of resource pools: dedicated, shared and overcommitted pool. Resources can be intelligently scheduled based on four dimensions (workload priority, hardware topology, real-time load and resource requirements), enabling large-scale training and high-concurrency inference workloads to run on the same infrastructure.
• AI gateway and dual-track metering: The AI gateway provides unified management of model routing, API calls and audit activities. Usage is measured through both accelerator hours and token consumption, helping enterprises track costs and resource utilization from the perspectives of both resource consumption and model usage.
• Agent-oriented computing services: Phancy’s platform turns heterogeneous computing resources into standardized services that AI agents can call on demand. These services support partitioning, reuse and elastic scaling. Combined with intelligent routing through the AI gateway, this accommodates the frequent calls and fluctuating workloads associated with AI agents, while token quotas and circuit-breaking mechanisms also help enterprises manage usage risks and costs when predefined limits are exceeded.
• Operations and maintenance for heterogeneous computing resources: Phancy’s platform provides end-to-end observability spanning nodes, accelerators, workloads and model services. It supports fault isolation, workload rescheduling and private deployment in environments without public internet access, helping enterprises improve operational efficiency across complex heterogeneous computing environments.

The report highlighted a use case in which a Chinese policy bank significant improved resource utilization by using Phancy’s three-tier resource pool architecture to manage computing resources across three data centers in two locations, while also enabling a smooth business migration.

Looking ahead, Phancy will continue to advance its AI computing resource management platform as AI infrastructure shifts from traditional “cloud + AI” architectures toward greater cloud-native, agent-oriented integration. The Group will continue to help enterprises manage computing resources more efficiently, deploy AI across a wider range of production environments, and turn AI into sustainable business productivity at scale.

Hashtag: #Phancy

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About Phancy Group

Phancy Group (6682.HK) is a leading full-stack AI cloud services platform, providing comprehensive solutions for the AI 2.0 era. Our offerings include SageAIOS, HAMi vGPU and ModelHub XC, delivering efficient and scalable AI infrastructure with end-to-end capabilities. We provide a complete solution from heterogeneous compute resource management and optimization to the deployment of intelligent agent models. These solutions empower digital transformation across a wide range of industries, supporting our vision of building a large-scale and efficient “Token Factory.”

Guided by the mission of “AI for Everyone” and positioned as the “Navigator of AI,” Phancy Group is committed to becoming a global leader in Artificial General Intelligence.

The Asian Technology Excellence Awards recognise groundbreaking technological projects and innovations across Asia. Presented by Asian Business Review, the programme selects one winner per technology category and industry in each market, with entries judged on uniqueness and innovation, effectiveness and impact, and dynamism.

For ANGEL, the KFC Indonesia project demonstrates a capability that matters across the food and beverage sector. The company begins with on-site water quality testing and assessment, then designs the configuration around actual inlet conditions. That approach is backed by a commercial portfolio that includes microfiltration and UV sterilization, and by local delivery and service teams. It is this combination—not a standard product alone—that allows ANGEL to serve restaurant chains operating across diverse markets.

Sustainability is built into that model in practical ways. ANGEL integrates with existing pre-filtration systems, reducing the need for equipment replacement, water supply modifications and installation waste. Treatment is selected according to actual water quality, so sites receive the configuration they need. The modular design also limits maintenance complexity and supports long-term operating efficiency. For KFC Indonesia, this meant upgrading water quality without interrupting daily operations, while keeping existing infrastructure in service.

The deployment itself follows the same logic. Restaurants with more complex water conditions receive the C11 Microfiltration System together with UV sterilization, while sites with relatively stable inlet water can use UV sterilization alone. This scenario-based approach helps KFC Indonesia maintain consistent water quality across different cities and islands, and reflects how ANGEL works with food and beverage customers more broadly.

Accepting the award, ANGEL’s Assistant Vice President Annie Guo said, “This award recognizes the work of our teams and local partners in turning technology into practical value for customers. It reinforces our approach to international growth: understand local needs, deliver the right solution, and support it properly over time. For ANGEL, the responsibility continues after installation.”

The KFC project reflects ANGEL’s broader commercial strategy. For its global food and beverage business, the project shows that water purification can move beyond a functional utility to become a strategic asset for operators. ANGEL has built a commercial portfolio spanning microfiltration, ultrafiltration, and reverse osmosis, enabling tailored solutions for local conditions and customer needs. In markets where complex water conditions could otherwise constrain expansion, these capabilities support safer operations, greater resource efficiency, and more sustainable growth.

Hashtag: #ANGELGroup

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

About ANGEL

Founded in 1987, ANGEL has become a global leader in water purification. For nearly four decades, the company has dedicated itself to improving drinking water quality through innovation, delivering safe, healthy, and stylish water solutions. ANGEL has earned 11 internationally recognized certifications, including NSF, UL, TUV, SGS, CSA, and HALAL, ensuring compliance with high standards of quality, safety, and environmental responsibility.

Chief Executive John Lee’s 2026 Policy Address and the city’s first Five-Year Plan for Economic and Social Development set out measures covering finance, trade, shipping, aviation, innovation and technology, alongside efforts to attract capital, companies and skilled workers. The government said the programme is designed to reinforce Hong Kong’s international competitiveness and support longer-term economic development.

Gold will serve as the entry point for a broader commodity trading ecosystem. Hong Kong plans to formally launch its central clearing and settlement system for gold in the first quarter of 2027, following trial operations that began in July. The system is intended to support trading that meets international standards and strengthen links among clearing, settlement, storage and physical delivery.

Hong Kong Exchanges and Clearing will announce details this year of new renminbi-denominated, physically settled gold futures contracts. The government also plans to explore tax concessions for qualifying activities across the gold and commodity trading chain, with proposals expected to be put to the Legislative Council for consultation next year.

The Hong Kong Monetary Authority is studying whether the Exchange Fund should moderately increase its gold holdings and participate in local spot and futures markets. Existing physical gold inventories could gradually be transferred to designated vaults appointed by the Hong Kong Precious Metals Central Clearing Company.

Authorities also plan to expand storage and related infrastructure. Since the London Metal Exchange added Hong Kong to its global warehousing network in 2025, approved storage space has exceeded 60,000 square metres and inventories have risen above 20,000 tonnes of metal. More LME-approved warehouses are planned for the Northern Metropolis.

A half-rate tax concession for physical commodity trading is also being pursued to encourage traders to establish or enlarge operations in the city. A joint working group led by the Secretary for Financial Services and the Treasury will examine market opportunities and possible collaboration between exchanges.

The wider financial strategy seeks to strengthen Hong Kong’s role as an offshore renminbi business hub and an international centre for asset management and risk management. The government plans to deepen green and digital finance, widen financing channels for technology companies and strengthen trade finance, supply-chain finance, clearing, settlement and risk-management services.

A proposed Innovation and Technology Industry-Oriented Fund will receive HK$10 billion in government funding and is expected to reach at least HK$40 billion when market capital is included. Priority areas include life and health technology, artificial intelligence and robotics, semiconductors and smart devices, digitalisation, and sustainable development.

The five-year plan also calls for greater emphasis on high-value maritime services rather than relying mainly on traditional port logistics. Measures include reforms to ship registration, support for ship financing and marine insurance, and further development of maritime arbitration and other professional services.

Hong Kong also intends to build a broader aviation industry ecosystem. Plans include developing aircraft-parts processing and trading, participating in research and certification connected with domestically developed aircraft, and expanding sustainable aviation fuel supply chains across the Greater Bay Area. Authorities aim for sustainable aviation fuel to account for 1% to 3% of fuel used by departing flights at Hong Kong International Airport in 2030.

Trade policy will focus on digitalisation, diversification and higher-value supply-chain services. The government wants more companies to use Hong Kong for international orders, foreign-exchange transactions, treasury operations, trade finance and supply-chain management, while attracting regional and international headquarters.

The plan places innovation alongside the traditional pillars, with support directed towards artificial intelligence, robotics, life sciences, microelectronics and advanced manufacturing. It also identifies aerospace technology, marine technology, quantum technology and embodied intelligence as fields for longer-term development.

The company said an initial fleet of all-electric Jaguar I-PACE vehicles will arrive in Singapore over the coming months, with preparations beginning before a phased testing programme in 2027. Trained autonomous specialists will initially drive the vehicles manually while Waymo maps roads and adapts its self-driving system to local conditions.

The programme will expose the Waymo Driver to Singapore’s road geometry, dense traffic environment and monsoon weather patterns before the company seeks to move towards autonomous operation. Commercial rides are scheduled to be offered through the Waymo app in 2028, subject to regulatory approvals.

Initial operations are expected to focus on western Singapore, including the Labrador and HarbourFront area, before any broader passenger rollout is considered locally.

Singapore’s Land Transport Authority said Waymo would become the country’s newest autonomous vehicle operator, joining ComfortDelGro and Grab. The authority said it would work closely with the company to ensure deployments meet safety and regulatory requirements and help build public confidence in autonomous vehicles.

Waymo is entering a market where autonomous transport is already moving from trials towards limited passenger services. Public rides on autonomous shuttle services began in Punggol in April, while operators including Grab, WeRide, ComfortDelGro and Pony. ai are expanding deployments and testing additional routes.

Waymo’s arrival therefore adds a major US developer to a field that already includes regional and China-based autonomous driving companies. Singapore has sought to attract multiple operators as it develops a competitive autonomous mobility sector and evaluates how driverless vehicles could supplement existing public transport.

Transport Minister Jeffrey Siow said Waymo would bring technology and operational expertise while supporting Singapore’s goal of creating additional transport options. Authorities have also stressed that autonomous vehicle deployment will not be allowed to move faster than measures to retrain and support drivers whose jobs could be affected.

The government announced a manpower transition package in July aimed at helping drivers acquire new skills and, where appropriate, move into jobs created by the autonomous vehicle sector. The issue has become more prominent as testing expands from controlled trials towards services carrying members of the public.

Singapore’s regulatory framework requires autonomous vehicles to clear technical and operational assessments before carrying passengers and progressing towards driverless operation. The Land Transport Authority assesses performance on authorised routes, including whether vehicles can cover sufficient distance without intervention and handle a range of traffic situations within their approved operating areas.

The Ministry of Transport also opened a public consultation this year on a broader legislative framework covering autonomous vehicles, including responsibility, licensing, insurance, liability and enforcement. Existing rules already require authorisation for autonomous vehicle trials and use on public roads.

Waymo said its Singapore expansion would follow the phased approach it has used elsewhere. The company has completed more than 20 million fully autonomous passenger rides and more than 300 million autonomous kilometres, according to company figures, giving it one of the largest operating datasets among commercial robotaxi developers.

Its overseas push is gathering pace. Waymo is preparing for commercial autonomous services in Tokyo and has also announced plans involving London and Munich, as it seeks to extend technology developed largely on US roads to markets with different driving environments, regulations and weather conditions.

Singapore offers a compact but demanding testing ground. Heavy rainfall, complex urban traffic, motorcycles, cyclists and dense interactions around public transport infrastructure create operating conditions that differ from many of Waymo’s established US service areas.

The company says its vehicles use lidar, radar and cameras to maintain a 360-degree view of their surroundings. The Singapore fleet will initially use Jaguar I-PACE sport utility vehicles, although Waymo has not disclosed how many vehicles will be deployed at launch or the eventual size of its commercial fleet.