Page 59 - SAMENA Trends - June-July 2025
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REGIONAL & MEMBERS UPDATES  SAMENA TRENDS

        +  Air-Liquid  Hybrid  Cooling"  AIDC  model.   technologies to address the challenges of   shorter than traditional solution. The AIDC
        Three innovative breakthroughs overcome   heat dissipation and energy consumption in   prefabricated  container  solution  resolves
        traditional  infrastructure  bottlenecks:  The   high-density deployment: chilled water wind   three  major construction  challenges  in
        unique  top-bottom frame  structure,  with   wall, cold and hot aisle separation, and cold   the  era of explosive computing power
        a  5.75-meter  floor  height,  breaks  through   plate liquid cooling. Combined with natural   growth: the time gap between construction
        traditional  height  limitations.  A  single   cooling  sources  and  airflow  optimization,   duration  and  demand, the  compatibility
        module  can  flexibly  deploy  either  an  8kW   the  PUE in  liquid-cooled scenarios  can   challenge of power density leaps, and the
        air-cooled general computing cabinet or a   be  as  low  as  1.15.  The  overall  energy   dual  pressures  of  energy  efficiency  and
        40kW liquid-cooled AI computing cabinet.   efficiency  is  30%  higher  than  traditional   green  transformation.  With  the  official
        It  supports  "dual-mode computing  in   solutions. It also supports the integration of   launch of the AIDC prefabricated container
        one  box"  (compatibility  between  general   renewable energy sources like solar power   solution, ZTE has entered the "modular" era
        computing and  AI computing, as  well  as   for auxiliary power supply to data centers.   of intelligent  computing  infrastructure  –
        between  air  cooling  and  liquid  cooling),   Each sub-module  is  prefabricated  in  the   turning data centers into rapidly replicable
        fulfilling  the  requirements  of  mixed   factory and can proceed concurrently with   and elastic "computing power containers",
        scenarios such as AI large model training   civil construction work. Upon arrival at the   offering  global  customers a smooth
        and edge computing in one go. In addition   site, the modules are assembled like LEGO   upgrade  path  from general  computing to
        to achieving prefabrication in infrastructure   building blocks. Projects can be delivered   intelligent computing.
        construction, the solution integrates three   in  as  fast  as  seven  months,  nearly  40%

        China Telecom and ZTE secure the Best Moonshot Catalyst – Attendees'

        Choice Award


        ZTE Corporation, a global leading provider of   equipment  with  China  Telecom's  cloud
        integrated information and communication   infrastructure  and  smart  transport  AI
        technology solutions,  in  partnership  with   capabilities, the collaboration has achieved
        China Telecom and other industry players,   a 24% reduction in hardware costs. Utilizing
        announced  that  their  jointly  developed   5G  URLLC  technology, the  system  has
        project, "AI-enabled  system  for vehicle-  significantly  reduced  transmission  delay.
        road-cloud collaboration", has  received   AI lightweight computing units have been
        the  prestigious  Best  Moonshot  Catalyst   deployed at roadside edge nodes, enabling
        –  Attendees'  Choice  Award  at  Digital   the  classification  and  identification  of
        Transformation World (DTW) 2025, hosted   over 20  transport  participants.  To date,
        by TM Forum. This recognition highlights the   the  system has enhanced  the accuracy
        significant contributions of China Telecom   of  complex  scenario  identification  by
        and  ZTE in  driving  industrial  innovation   40%,  and  reduced the  multi-vehicle
        and accelerating the digital transformation   coordination response delay to under 100
        of the  global  telecom industry. The  large-  ms, thereby assisting vehicle enterprises in
        scale  deployment of autonomous driving   achieving  L4-level  self-driving  capabilities
        has  led  to  a  significant  surge  in  demand   via  progressive  pathways.  Currently, the
        for emergency road condition identification   vehicle-road-cloud  system  confronts
        and  multi-party  collaborative  decision-  multiple  challenges,  including  the  high
        making in complex urban traffic. However,   cost of roadside equipment, the openness
        single-vehicle intelligence is constrained by   of  data  capabilities,  and  difficulties  in
        sensor  and  computing  power limitations,   commercial closed-loop.  To address
        and  there  are  blind  areas  in  extreme   these  issues,  ZTE plans  to achieve dual
        weather conditions. Meanwhile, traditional   breakthroughs  in  both  technologies  and
        optimization  models, which depend  on   commercial models  based  on its  AIR Net
        high-precision  maps and  massive  drive   solution.  Technologically, ZTE  will  focus   the  vehicle-road  cloud APIs  and  real-time
        test data, are also encountering challenges   on developing low-cost hardware and ultra-  traffic data APIs. This measure is expected
        such  as  high  hardware  costs,  difficulty   low-latency architecture to enhance  the   to drive an annual increase in API revenue
        in  covering  long-tail  scenarios,  and  low   capability of integrating multi-source data.   of over 20%. Moving forward, this system
        multi-vehicle coordination efficiency. ZTE's   Commercially, ZTE will establish a scenario-  will continuously facilitate the collaborative
        AIR  Net  autonomous network  solution  is   based value model to clarify the profit paths   evolution  of  smart  transportation
        instrumental  in  constructing  a  "vehicle-  for  vehicle  manufacturers and operators.   from  single-point  intelligence  to global
        road-cloud  collaborative  autonomous  Operators can  apply  the  5G-A  network to   intelligence, laying a solid foundation for a
        driving" system. By integrating ZTE's 5G-A   enterprise  service  platforms by  opening   trillion-scale intelligent travel ecosystem.


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