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Huawei lanceert de AI Data Lake Solution om industriële intelligentie te versnellen
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News provided by

Huawei

Apr 30, 2025, 15:42 ET

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MÜNCHEN, 30 april 2025 /PRNewswire/ -- Op 29 april 2025, tijdens het 4e Huawei IDI Forum (Innovative Data Infrastructure) in München, Duitsland, lanceerde Huawei de AI Data Lake Solution, ontworpen om de toepassing van AI in verschillende industrieën te versnellen. Peter Zhou, vicevoorzitter van Huawei en voorzitter van Huawei Data Storage Product Line, introduceerde de oplossing in zijn inleidende speech: "Data Awakening, Accelerating Intelligence with AI-Ready Data Infrastructure."

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Peter Zhou, Vice President of Huawei and President of Huawei Data Storage Product Line, delivering his keynote speech
Peter Zhou, Vice President of Huawei and President of Huawei Data Storage Product Line, delivering his keynote speech

Terwijl digitale transformatie zich de voorbije decennia heeft ontwikkeld en ingrijpende veranderingen heeft teweeggebracht, blijft één ding constant: het cruciale belang van gegevens. Dit werd in de toespraak van Zhou benadrukt: "Om klaar te zijn voor Al, moet u zich voor gegevens klaarmaken. De voortdurende verdieping van de digitalisering van de industrie is een proces waarbij gegevens in informatie en kennis worden omgezet."

Door gegevensopslag, gegevensbeheer, resourcebeheer en de AI-toolchain te integreren, levert de AI Data Lake Solution een kwaliteitsvolle AI-corpus en versnelt het modeltraining en inferentie, waardoor bedrijven AI beter kunnen benutten.

In zijn toespraak gaf Zhou details over de producten en technologieën die deel uitmaken van de Data Lake Solution:

  • Gegevensopslag: voortdurende innovatie in prestaties, capaciteit en bestendigheid
  1. Versnelde AI-modeltraining en inferentie: De krachtige AI-opslag OceanStor A-serie van Huawei levert uitzonderlijke prestaties. Zo stelde het onder andere iFLYTEK, de ontwikkelaar van AI-technologieën, in staat om de trainingsefficiëntie van clusters aanzienlijk te verbeteren. De geavanceerde inferentieversnellingstechnologie verbetert de inferentieprestaties, verlaagt de latentie en bevordert de ervaring van gebruikers van de applicatie, waardoor de inzet van toepassingen voor inferentie met grote modellen in productieomgevingen wordt versneld.
  2. Efficiënte opslag van massale AI-gegevens: De OceanStor Pacific All-Flash Scale-Out Storage biedt een hoge capaciteitsdichtheid van 4 PB/2 U en een bijzonder laag stroomverbruik van 0,25 W/TB. Het is ontworpen om gegevens op exabyte-schaal met gemak te beheren en is zeer geschikt voor gegevensintensieve workloads in het onderwijs, wetenschappelijk onderzoek, medische beeldvorming en media.
  3. AI-corpus en vector database back-up: Huawei's OceanProtect Backup Storage biedt 10 keer hogere back-upprestaties dan andere mainstream opties en heeft 99,99% nauwkeurigheid bij het detecteren van ransomware-aanvallen, waardoor belangrijke data van training corpus en vector databases in domeinen zoals olie en gas en MSP's worden beschermd.
  • Gegevensbeheer: zichtbaarheid, beheerbaarheid en mobiliteit van gegevens in diverse regio's

Huawei DME is een datamanagementplatform waarin de Omni-Dataverse is geïntegreerd om klanten te helpen datasilo's in geografisch verspreide datacenters te elimineren. Verder is het vermogen van DME om binnen enkele seconden gegevens uit meer dan 100 miljard bestanden op te halen voor klanten van groot nut om gegevens efficiënt te verwerken en het volledige potentieel ervan te benutten.

  • Resourcemanagement: pooling van verschillende xPU's en intelligente inplanning van AI-resources

Aangedreven door virtualisatie en containertechnologieën biedt het DCS-platform efficiënte xPU-resourcepooling en intelligente inplanning, waardoor het gebruik van resources wordt opgedreven. Daarnaast maakt de DataMaster in DME O&M met AI Copilot mogelijk voor alle scenario's, met een reeks AI-toepassingen zoals intelligente Q&A, O&M-assistent en inspectie-expert, wat een uitzonderlijke O&M-ervaring oplevert.

Foto - https://mma.prnewswire.com/media/2676754/image_5011010_26316166.jpg 

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