{
    "success": true,
    "data": {
        "id": 1991888,
        "msgid": "huawei-introduces-grid-interactive-aidc-bringing-a-new-paradigm-to-ai-infrastructure-1789967252",
        "date": "2026-09-21 10:46:39",
        "title": "Huawei Introduces Grid-Interactive AIDC, Bringing a New Paradigm to AI Infrastructure",
        "author": "",
        "source": "ANTARA_ID",
        "tags": "",
        "topic": "Technology",
        "summary": "At HUAWEI CONNECT 2026, Huawei unveiled its grid-interactive AIDC solution designed to maximise AI computing efficiency by measuring tokens per watt. The innovation integrates energy and computing infrastructures to stabilise power grids and optimise energy consumption for large-scale AI workloads.",
        "content": "<p>Shanghai, (ANTARA\/PRNewswire) - HUAWEI CONNECT 2 and 026 has\nofficially opened in Shanghai. As part of the event series, Huawei held\nthe HUAWEI AIDC Facility Summit and introduced its grid-interactive AIDC\nsolution, which adopts a new approach to AI infrastructure development\nto maximise token-per-watt efficiency.<\/p>\n<p>Hou Jinlong, Director of the Board at Huawei and President of Huawei\nDigital Power, delivered an opening address at the event. He outlined\nfour innovative approaches in architecture and system design to address\nvarious challenges in AIDC development, ranging from power supply and\nquality, electricity distribution to racks, and heat dissipation to\nconstruction processes.<\/p>\n<p>First, an innovative electrical architecture combined with liquid\ncooling technology maintains a stable power supply and optimises heat\ndissipation to increase system reliability and efficiency. Second, a\nmulti-layered hybrid energy storage system absorbs local power\nfluctuations to improve power quality in AIDC and reduce its impact on\nthe electrical grid. Third, the synergy between electrical and computing\nsystems, along with the interaction between energy supply and\nconsumption, drives AIDC to transform from a rigid electrical load into\nan integral part of the next-generation power system. Fourth,\ninnovations in construction methods and a modular, prefabricated, and\nproduct-based construction approach can significantly reduce\nimplementation time.<\/p>\n<p>Hou emphasised that the ability to maximise the number of tokens\nprocessed per watt while reducing the cost per token will be a crucial\nfactor in determining the competitiveness of computing centres.<\/p>\n<p>Introducing the Grid-Interactive AIDC Solution<\/p>\n<p>According to Bob He, Vice President of Huawei Digital Power, the\nsurge in renewable energy usage is making the power grid increasingly\ninfluenced by power electronics characteristics. Meanwhile, AI workloads\ncan change rapidly and at an extreme scale. These conditions mean that\nenergy and computing infrastructures can no longer operate in isolation\nbut must be closely integrated. Through the \u20183+1\u2019 innovation, Huawei\npresents a grid-interactive AIDC solution that combines high\nreliability, energy efficiency, rapid implementation, and grid\nadaptability to maximise the number of tokens processed per watt.<\/p>\n<p>In the electrical system, Huawei proposes a MIMO power supply\narchitecture that meets the needs of next-generation computing centres.\nTo address these challenges, Huawei launched grid-interactive AIDC 1.0,\nwhich integrates UPS systems that support grid stability, smart lithium\nbatteries, and grid-forming energy storage systems. With this approach,\nAIDC can adapt to grid conditions and help dampen AI workload\nfluctuations. Regarding cooling, Huawei also launched an AI-based liquid\ncooling system that can predict working fluid conditions and support\npredictive maintenance.<\/p>\n<p>According He, Huawei\u2019s advantage lies in its integrated capabilities\nin the energy sector and its full-stack AI capabilities.<\/p>\n<p>Synergy of Computing and Electricity: Building a Solid Foundation for\nthe AI Era<\/p>\n<p>The rapid development of AI is driving a surge in token processing\nrequirements and increasing the demands on AI infrastructure. According\nto Xia Qin, Chief Expert of Huawei Computing Strategy Planning, AIDC is\nmoving towards an integrated architecture that unites computing,\nnetworking, and storage, with energy as the primary foundation. A\nreliable, efficient, and rapidly deployable energy system will help\nlarge-scale AI computing clusters operate stably and support large-scale\ntraining and inference processes in the era of agentic AI.<\/p>\n<p>Unlike conventional data centres that have limited interaction with\nthe power grid, AI workloads can change with high frequency and\npotentially cause various disruptions to the electrical system,\nincluding power outages and unstable wideband oscillations. Josh Chen,\nFounder &amp; Chairman of VNET Group, stated that power sources,\ncampuses, and buildings can be redesigned to be integrated and mutually\nsupportive, ranging from coordination between power sources and energy\nscheduling within a campus to the provision of DC power for buildings.\nThis approach will form a new electrical system directly connected to\ngreen energy sources and active microgrids, ensuring a reliable and\nstable power supply for AIDC with capacities up to the GW level.<\/p>\n<p>Lin Hai, General Manager of the Intelligent Computing Center at\nSenseCore Business Group, SenseTime, presented the progress of\nSenseTime\u2019s AI computing efficiency, moving from PUE to TPW, at the\nevent. SenseCore is driving a change in efficiency management approaches\nin IDCs, moving from a focus on Power Usage Effectiveness (PUE) to an\nintegrated efficiency measurement centred on tokens per watt. This\napproach directly links electricity consumption to the number of tokens\ngenerated, covering the entire chain from power generation and the\nelectrical grid to IDC rack services, cloud computing, and model\nservices. According to Lin, this metric reflects the core efficiency in\nthe AI production process. Through integrated optimisation, SenseCore\nhas successfully increased TPW by 80%.<\/p>\n<p>At HUAWEI CONNECT 2026, Huawei showcased its grid-interactive AIDC\nsolution and integrated AI inference solutions to build a reliable,\nenergy-efficient, and rapidly deployable computing foundation for AI\ncluster infrastructure.<\/p>",
        "url": "https:\/\/jawawa.id\/newsitem\/huawei-introduces-grid-interactive-aidc-bringing-a-new-paradigm-to-ai-infrastructure-1789967252",
        "image": ""
    },
    "sponsor": "Okusi Associates",
    "sponsor_url": "https:\/\/okusiassociates.com"
}