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A first of its scale for a Southeast Asian-founded company, the collaboration marks a major milestone that will significantly boost Southeast Asia’s profile in the global AI ecosystem. By combining Aolani’s capabilities and NVIDIA’s technology, the strategic collaboration will unlock financing that will further accelerate and democratise access to AI compute in Asia for global AI natives, sovereigns, and local enterprises and SMEs.

This collaboration brings Aolani’s total AI factory capacity to more than 100 megawatts (MW). 22,000 GPUs are expected to be deployed across two AI factories in Malaysia and the Philippines in early 2027. This will bring Aolani’s total deployment to over 48,000 GPUs.

An NVIDIA Cloud Partner since 2023, Aolani will be deploying NVIDIA Blackwell Ultra GPUs, a leading AI system designed to help organisations build and scale advanced AI workloads today.

Aolani will deliver NVIDIA-powered cloud services to AI-native companies, enterprises, startups, developers and institutions across Southeast Asia. A revenue-sharing and credit-support model will align infrastructure deployment with customer demand, helping broaden access to large-scale accelerated computing while giving Aolani a capital-efficient path to scale its AI factories across the region.

Driving Southeast Asia as a leading global powerhouse for AI innovation

Southeast Asia is one of the most robust AI markets in the world, with AI adoption rates among companies demonstrating stronger momentum than global average^[1]. With more than US$50 billion invested by global hyperscalers in AI-ready data centres and cloud infrastructure^[2], the region’s growth is driven by its emerging position as a global arena for cloud and AI innovation.

While Malaysia has established itself as one of Asia’s premier AI factory hubs, the Philippines represents a high-potential emerging market for AI infrastructure. Aolani’s deployment in the Philippines is expected to be among the first large-scale AI infrastructure platforms in the country, broadening access to advanced AI compute and supporting the buildout of essential AI infrastructure in Asia.

Nicholas Chia, Chief Executive Officer at Aolani said: “This collaboration with NVIDIA marks a defining moment in Aolani’s mission to deliver world-class AI compute at the speed that matches the pace of AI development, and on infrastructure that is compliant, accountable, and trusted to perform. Southeast Asia is rapidly emerging as a key global node for the next wave of global AI buildout, and we are well-positioned to lead this. We are excited to work with new partners and customers to build the Southeast Asian AI ecosystem and cement the region’s central role in the global AI landscape.”

Media Contact

H/Advisors on behalf of Aolani
[email protected]

Sources:

[1] McKinsey & Company, “AI in Southeast Asia: An Era of Opportunity,” 2024, https://www.mckinsey.com/featured-insights/future-of-asia/ai-in-southeast-asia-an-era-of-opportunity

[2] Singapore Economic Development Board, “AI in Southeast Asia: An Era of Opportunity,” https://www.edb.gov.sg/en/business-insights/market-and-industry-reports/ai-in-southeast-asia-an-era-of-opportunity.html

https://www.aolani.com
https://sg.linkedin.com/company/aolani-cloud

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About Aolani

Where AI gets built in Asia. Headquartered in Singapore and founded in 2023, Aolani is backed by compliant and purpose-built infrastructure to deliver the performance capabilities for next-generation AI. Aolani’s AI factories enable organisations to build with confidence, scale ambitiously, and move at hyper-speed in the world’s fastest-growing AI market.

For more information, visit www.aolani.com and follow @AolaniCloud on LinkedIn.

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.

Coinciding with the historic milestone of the Pinglu Canal being completed and navigable, a canal opens up a physical trade corridor between China and ASEAN, opening a new chapter of digital economy collaboration. “Goods Flow Across Rivers and Seas, Digital Intelligence Connects ASEAN” has become the most distinctive symbol of the era at this forum. The forum closely follows the differentiated development path of “R&D in Beijing, Shanghai, and Guangzhou + Integration in Guangxi + Application in ASEAN”, solving problems through technological breakthroughs, gathering momentum through industry-finance linkage, and promoting effectiveness through scenario implementation, to deepen and solidify China-ASEAN AI cooperation.

Technology empowers the opening, creating a new paradigm of human-machine collaboration

The forum kicked off with Guangxi’s classic ethnic song “Folk Songs like the Spring River”, where human dancers, dancing robots, accompaniment robots, and a digital crowd performing the folk song collaborated across disciplines to perform group collaborations. Relying on millisecond-level cluster scheduling technology, ethnic culture and embodied intelligence were deeply integrated to create an immersive technological audiovisual feast. This forum innovatively adopted a three-party collaborative hosting model of “human host + digital human avatar + intelligent robot”. Yang Yanqing, Professor of ShanghaiTech University, coordinated with her digital human avatar and AGIBOT Lingxi X2 to jointly host the forum, empowering the forum scene through technology, which became a major highlight of the event.

Dr. Padapxay SAYAKHOT, Director-General, Institute of Information and Communication Technology, Ministry of Technology and Communications, Lao PDR, Sun Ruijun, Director-General, China-ASEAN Technology Transfer Center, Secretary of the Party Leadership Group and Director-General, Department of Science and Technology of Guangxi Zhuang Autonomous Region, Secretary of the Party Committee, Guangxi Institute of Industrial Technology, delivered speeches in succession. Both sides stated that they will use this forum as a link to deepen the connection of scientific research and innovation, the implementation of industrial scenarios, and the coordination of policies and mechanisms, gather synergy for digital and intelligent development, and serve the building of a closer China-ASEAN community with a shared future.

Industry authorities gather, anchoring regional AI development directions

The speakers at the forum combined international breadth and professional depth, bringing together industry experts, academic and cutting-edge research forces, industrial technology, and cross-border implementation capabilities from ASEAN countries, forming a core high ground for intellectual exchange and gathering top intellectuals for China-ASEAN AI innovation and development.

Industry experts from ASEAN countries: Dr. Wasan Pattara-atikom, Vice President, National Science and Technology Development Agency, Thailand; Li Haizhou, Fellow of the Academy of Engineering, Singapore (SAEng), Dean of the School of Artificial Intelligence, the Chinese University of Hong Kong, Shenzhen; YAP Hwa Jen, Professor of Universiti Malaya, Managing Director of the UPUM Sdn. Bhd.;

Academic and cutting-edge research forces: Yang Chao, Professor of Peking University, Founder and Chief Scientist of Beijing 1011 Technology Co., Ltd.; Cui Peng, Professor of Tsinghua University and Chief Scientist of Stable AI (Xiong’an) Technology Co., Ltd.; Wang Shisong, Professor of Guangzhou University, Co-founder of Abelian (a quantum-resistant blockchain infrastructure);

Industry technology and cross-border implementation forces: Li Nan, Founder, Chairman, and CEO of Maimai Technology Group; Yao Yuan, Vice President of the Middle East Asia-Pacific Region Division, AGIBOT Innovation (Shanghai) Technology Co., Ltd.; Lyu Jun, Chief Scientist of Shanghai Noematrix Technology Co., Ltd.; Liu Liqi, General Manager of Data Strategy Department, X Square Robot Technology (Shenzhen) Co., Ltd.

The guests focused on three major directions, namely embodied intelligence, AI finance, and data circulation, exploring feasible paths for technological breakthroughs, ecosystem co-construction, and joint innovation. They covered the key stages of artificial intelligence from source research and development and technology transfer to industrial implementation and cross-border cooperation, achieving a two-way dialogue between cutting-edge academic theories and practical industry needs, and providing diverse perspectives and action ideas to bridge the regional digital divide and unlock the inclusive value of AI.

Five achievements released, strengthening the solid foundation for digital intelligence cooperation

At the forum, five scientific and technological innovation achievements were released together, constructing an AI innovation supply system oriented toward ASEAN from multiple dimensions including technology products, platform carriers, talent systems, and decision-making support.

1. The China-ASEAN Cross-Border Industrial Large Language Model: It covers multilingual capabilities and industry knowledge graph for ASEAN, integrates six major agents to collaboratively analyze business scenarios, and serves as a professional intelligent partner for Chinese enterprises to expand into the ASEAN market.

2. Achievements in AI Talent Development for ASEAN: Relying on the Guangxi Academy of Artificial Intelligence, a talent training model of “a dual-mentor system, dual-integrated teaching, dual training tracks, and an integrated master-doctoral program” has been created, achieving an international education pattern of enrolling at one university, earning credits from multiple universities, gaining practical experience in multiple countries, and strengthening talent support for cross-border AI cooperation.

3. “Guikerong” Sci-Tech Finance Digital-Intelligent Foundation Platform: Developed under the guidance of the Department of Science and Technology of Guangxi Zhuang Autonomous Region, it uses data-driven technology credit evaluation to open the value transformation chain of “technology, industry, and finance”, supporting the innovative development of technology-based enterprises.

4. Lao-Language Large Language Model (LLM) for the Energy and Power Sector: China’s first AI overseas project in the power industry, implemented on Electricite du Laos, exploring a new model of “Retaining Computing Power in Guangxi, Exporting Services Globally” for compliant token going global, providing a practical example for cross-border services in the energy sector.

5. “2026 China-ASEAN Artificial Intelligence Industry Development Study Report”: A panoramic overview of regional industrial policy environment, market scale, and application patterns, analyzing core industry development trends, and providing decision-making references for China-ASEAN AI industry cooperation.

Exhibition and negotiation are working together to build a pragmatic platform for exchange and cooperation

The forum adheres to the principles of “promoting research through exhibitions, cooperation through meetings, and implementation through business matchmaking”, simultaneously hosting the Special Session on AI: Bank-Enterprise Matchmaking and the Industry Supply-Demand Matchmaking and Technology Achievement Exhibition, achieving precise coordination between exhibition displays and business negotiations, and building a cross-border cooperation ecosystem deeply integrating industry, academia, research, and application.

The Technology Achievement Exhibition showcased high-tech products such as the General Embodied Intelligent Robot, Fingertip 3D Force Sensors, Integrated Land-Sea-Air Inspection Equipment, Smart Wall-Climbing Industrial Robot, and AI + Embodied Intelligence Teaching and Experiment Platform, covering key tracks like humanoid robots, industrial intelligent equipment, and education and training, demonstrating the innovative strength of domestic AI technology adaptation to ASEAN scenarios.

The venue also set up an immersive AI experience zone, where interactive projects such as coffee-making robots, agile robotic arms, AI customized cultural products, and unmanned retail attracted attendees to stop and experience the vivid effects of AI empowering people’s services up close, highlighting the development philosophy of technology for good and digital intelligence benefiting the people.

Focusing on collaborative win-win cooperation to jointly build a new pattern of regional development

As an international platform for scientific and technological exchange aimed at ASEAN, the Forum on China-ASEAN Artificial Intelligence Cooperation has been held consecutively for four sessions, bringing together more than 4,300 guests from China, foreign government, industry, academia, and research, facilitating the connection of over a hundred industrial projects, and becoming an important platform for the exchange of ideas, interconnection of technologies, and mutual industrial support between China and ASEAN in the field of artificial intelligence.

Looking to the future, China and ASEAN will continue to deepen cross-border joint innovation, promote the orderly flow of AI innovation elements, cultivate a vibrant and inclusive regional digital innovation ecosystem, facilitate digital intelligence benefiting regional industrial upgrading and livelihood development, and jointly build a new mutually beneficial and win-win pattern of China-ASEAN digital economy.

This forum was supported by the Ministry of Technology and Communications of Laos and the ASEAN Secretariat, and co-hosted by Guangzhou University, Guangxi Beibu Gulf Bank, Guangxi Academy of Artificial Intelligence, and Computer Academy of Guangxi.

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By K Raveendran Donald Trump now possesses one of the most formidable economic weapons available to an American president against countries sustaining Russia’s energy revenues. Yet, the decision on how aggressively to wield it is complicated by a contradiction that Washington cannot easily escape: squeezing Russian oil out of the international market could also push […]

The article Sanctions Against Russian Oil Collide With Economics Of Affordable Oil appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

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.

This year marks the 5th anniversary of the establishment of the China-ASEAN comprehensive strategic partnership, the inaugural year of the “Plan of Action to Implement the ASEAN-China Comprehensive Strategic Partnership (2026-2030)”, and a critical year for accelerating the implementation of the China-ASEAN Free Trade Area (CAFTA) 3.0 Upgrade Protocol following its signing.

The 23rd CAEXPO has a total exhibition area of approximately 170,000 square meters, showcasing the latest achievements of cooperation between China and ASEAN countries, as well as new business opportunities under the Version 3.0 China-ASEAN Free Trade Area (CAFTA). More than 3,400 enterprises from over 70 countries and regions are participating, with the total number of exhibitors increasing by 5.3% compared to the previous session. Timor-Leste made its debut as a formal ASEAN member state and co-organizer of the CAEXPO. This marks the first time that all 11 ASEAN countries have gathered in Nanning, Guangxi, since ASEAN’s expansion, representing a historic moment for the CAEXPO’s circle of friends. In addition to the main exhibition area at the Nanning International Convention and Exhibition Center, two other exhibition areas are set up at CAAIC Community and the Guilin International Conference & Exhibition Center.

For the first time, an ASEAN country demand exhibition is set up during the event, and an ASEAN demand list is released for the first time, focusing on showcasing projects and application needs of ASEAN countries in areas such as transportation, smart logistics, artificial intelligence applications, urban management, and park construction, creating a new one-stop precise matchmaking platform for China and ASEAN.

In addition, more than 50 economic and trade promotion activities will be held during the event, focusing on trade and investment facilitation and regional economic integration, cross-border industrial and supply chain cooperation, “Shop in China”, “Export to China”, “Invest in China”, and other topics.

Hashtag: #CAEXPO#CABIS

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Tourism Minister P. C. Vishnunadh visited the Kerala pavilion at the Dubai World Trade Centre and met UAE Minister of Economy and Tourism Abdulla bin Touq Al Marri as the state sought to deepen engagement with one of its most important overseas visitor markets. He was accompanied by Tourism Secretary Biju K.

Vishnunadh said the Middle East remained significant for Kerala because of the state’s longstanding links with the UAE and the region’s importance to its tourism economy. He said Arabian Travel Market provided an opportunity for tourism businesses to understand changing demand, identify emerging opportunities and present packages designed for Gulf travellers.

Kerala Tourism said 26,255 visitors from the UAE travelled to the state in 2025, underlining the market’s value as it looks to expand international arrivals and strengthen demand beyond peak seasons.

The state’s 69-square-metre pavilion, carrying the theme “Green Peace – Yalla Kerala”, used imagery of hill stations and green landscapes alongside displays promoting established and emerging tourism products. The presentation placed emphasis on Kerala as a year-round destination, with Ayurveda and wellness, beaches, backwaters, cultural experiences and adventure travel forming key parts of the pitch.

Vishnunadh also met Sudhir Sreedharan, senior vice-president of flydubai, and officials of the Dubai Police Authority during his visit. The meetings came as Kerala Tourism used the event not only for destination promotion but also for business networking with airlines, tour operators and travel-sector partners.

Six tourism businesses from Kerala joined the pavilion as co-exhibitors: Kairali – The Ayurvedic Healing Village in Palakkad, The Elephant Court in Thekkady, Somatheeram Ayurveda Group, Intersight Tours and Travels, Santamonica Tours and Travels, and Gateway Malabar Holidays. Their participation gave buyers access to accommodation, wellness and tour products directly from operators.

Arabian Travel Market 2026, held from September 14 to 17, brought together tourism authorities, airlines, hospitality companies, tour operators and other travel businesses from the Middle East and overseas markets. Organisers positioned the 33rd edition as a platform for commercial partnerships, destination marketing and discussion of travel trends.

The UAE used ATM to launch “Visit UAE”, its first unified federal tourism identity, bringing the seven emirates under a single national tourism platform. Abdulla bin Touq said the initiative was intended to present the country as an integrated destination and support stronger cooperation across tourism.

Kerala’s Gulf-focused campaign extended beyond the exhibition floor. At a Kerala travel meet in Dubai built around the same “Green Peace – Yalla Kerala” theme, officials and private-sector participants held business-to-business meetings with UAE-based buyers.

Tourism Secretary Biju K presented Kerala’s destination portfolio and invited travel-industry representatives to Kerala Travel Mart 2026, while the state highlighted its appeal across leisure, wellness, culture and nature-based travel. The engagement was designed to convert destination visibility into business links with tour operators and distributors serving Gulf customers.

Kerala has been placing greater emphasis on the Arab market because demand from the region often overlaps with the state’s monsoon and shoulder seasons, when Ayurveda, wellness and nature-based travel can help spread visitor flows more evenly through the year.

That approach also reflects growing competition among destinations for Gulf travellers, who have access to extensive direct and one-stop air connectivity through Dubai, Abu Dhabi, Doha and other regional hubs. Kerala’s strategy at the fair focused on product differentiation rather than a single tourism segment, combining established attractions with experiential offerings.

The Maldives also maintained a presence at the Dubai event, with 165 industry representatives from 74 tourism companies participating alongside official tourism bodies. Its delegation used the fair to pursue airline partnerships and destination marketing agreements aimed at improving connectivity and widening market reach.

The Peerium Computing Architecture achieves strong scaling to the million-processor level through nested parallelism, unified memory addressing, and peer interconnect. It breaks through the Turing paradigm with the introduction of Nested BSP (Nested Bulk Synchronous Parallel), extends the von Neumann single-machine architecture, and overturns the master–slave architecture that has prevailed for decades, so that a million processors truly become one larger computer.

UnifiedBus (UB) is the key interconnect technology that makes the Peerium Computing Architecture possible. Built on a single open protocol, UB is a high-speed bus that scales without limit to connect CPUs, NPUs, memory, SSDs, network interface cards (NICs), and switches. With UB, peer interconnect is achieved across compute, storage, and networking.

The Atlas 950 SuperPoD and SuperPoD-based SuperClusters are the first-generation product built on the Peerium Computing Architecture. An Atlas 950 SuperCluster with 256,000 cards is already being deployed, and the Atlas 960 system based on near-packaged optics (NPO) is currently under testing.

Eric Xu, Huawei’s Rotating Chairman, said, “In the AI era, Huawei is drawing on the Peerium Computing Architecture we pioneered to continuously build the SuperPoDs and SuperPod-based SuperClusters that meet customer needs for training and inference, making computing power available everywhere and intelligence accessible to all.”

Hashtag: #Huawei

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