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تجمع شركة Verda الناشئة السحابية للذكاء الاصطناعي 189 مليون دولار من تمويل السلسلة B

حصلت شركة Verda، المزود الأوروبي للسحابة الجديدة، على 189 مليون دولار من التمويل من السلسلة B لتوسيع سعة مركز البيانات وقدرات النظام الأساسي، مستهدفة 250 ميجاوات من القدرة التشغيلية بحلول عام 2027.

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Source-page capture accompanying AI cloud startup Verda raises $189 million in Series B funding
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الناشر
datacenterdynamics.com
رابط المصدر
datacenterdynamics.comhttps://www.datacenterdynamics.com/en/news/ai-cloud-startup-verda-raises-189m-in-series-b-funding-round/
نوع المصدر
المصدر المرتبط - لم يتم تحديد حالة المصدر الأساسي.
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المصطلحات الرئيسية

AGI (الذكاء العام الاصطناعي)
نظام ذكاء اصطناعي افتراضي يمكنه أداء معظم المهام الفكرية على المستوى البشري عبر العديد من المجالات.
الاستدلال
مرحلة وقت التشغيل حيث يقوم النموذج المدرب بإنشاء تنبؤات أو مخرجات.
حساب
موارد المعالجة المطلوبة لتدريب النماذج وتشغيلها، والتي يتم قياسها غالبًا بوحدات FLOPS أو ساعات GPU.
اختبر نفسكوأوضح نماذج الذكاء الاصطناعي مسابقة

ماذا حدث

Verda, a European AI cloud startup formerly known as DataCrunch, has raised $189 million in a Series B funding round led by Emergence Capital. The round included participation from MUFG Innovation Partners, Supermicro, Varma Mutual Pension Insurance Company, Lifeline Ventures, ENDUR, 6 Degrees Capital, byFounders, Tesi, and several angel investors. This investment brings the company's total funding to over $450 million.

The $189 million Series B round, announced on October 5, 2026, follows a $117 million round in April 2026 and a $64.6 million Series A in September 2025. The company, founded in 2020, currently operates data centers in Finland and Iceland, all powered by 100 percent renewable energy.

Verda is actively expanding its footprint with new sites planned across Europe, the UK, the US, and Asia. A specific project in the Hanhela area of Pyhäjoki, Finland, recently entered the planning and zoning phase.

The company is integrating high-end hardware to support AI workloads. This includes upcoming deployments of Nvidia Vera Rubin NVL72 systems and the use of Arm's AGI CPU, which features 136 Neoverse V3 cores on a 3nm process, designed to operate alongside Nvidia GB300 racks.

تفاصيل المصدر: datacenterdynamics.com ↗

لماذا يهم

The funding provides Verda with the capital necessary to scale its specialized AI infrastructure as demand for high-performance grows. By targeting 250MW of operational capacity by 2027, the company is positioning itself as a significant European player in the AI cloud market. The investment also facilitates the deployment of advanced hardware, including Nvidia Vera Rubin NVL72 systems and Arm-based AGI CPUs, which are critical for training and running large-scale AI models. This expansion highlights the ongoing trend of specialized cloud providers building dedicated infrastructure to compete with hyperscalers.

Verda's growth reflects the broader industry shift toward 'neocloud' providers that offer specialized, high-performance environments tailored specifically for AI training and , rather than general-purpose cloud services.

The company's focus on renewable energy for its data centers addresses the increasing regulatory and environmental scrutiny surrounding the massive power consumption of AI infrastructure.

By securing backing from major industry players like Supermicro and MUFG, Verda is strengthening its supply chain and financial stability, which are essential for maintaining a competitive edge against larger, established cloud hyperscalers.

Interactive Mechanism

الآلية التفاعلية: كيف تعمل فعليًا

استكشف التكنولوجيا الأساسية وراء هذا التطور بشكل تفاعلي.

Model Parameter Size:8B Parameters
VRAM Required5.5 GBGPU memory footprint
Target HardwareMacBook / Single GPUDeployment tier
Privacy100% Air-GappedLocal device capability
Core takeaway: Small, quantized models (3B–8B) now run directly inside smartphones and laptops with complete data privacy, while mammoth 400B+ models remain the domain of datacenter clusters.
التحقق من المفهوم التفاعلي+10 Points
AI Models Explained Quiz

Which component of an AI application is the machine-learning model itself?

ماذا تشاهد بعد ذلك

Verda's ability to execute its aggressive infrastructure roadmap is the primary metric for success. The company plans to deploy Nvidia Vera Rubin NVL72 systems and integrate Arm's AGI CPUs, developed with Meta, into its data centers. Additionally, the company is working toward releasing S3-compatible object storage. Observers should monitor the progress of its planned data center sites across Europe, the UK, the US, and Asia, particularly the new project in Pyhäjoki, Finland, to see if the company meets its 250MW capacity target by 2027.

The successful integration of the Nvidia Vera Rubin NVL72 systems will be a key indicator of the company's technical capability to support next-generation AI workloads.

The company's transition toward offering S3-compatible object storage will be a significant milestone in expanding its platform's utility for enterprise customers.

The timeline for bringing new data centers online in the US and Asia will determine if Verda can successfully transition from a regional European provider to a global competitor.

الأدلة والاختبارات ذات الصلة

شرح نماذج الذكاء الاصطناعيمستقبل الذكاء الاصطناعيتدريب الذكاء الاصطناعياختبر ما تعرفه – جرّب اختبارًا مجانيًا للذكاء الاصطناعيابحث عن مصطلح الذكاء الاصطناعي في قاموسنااتبع أداة تعقب التمويل بالذكاء الاصطناعي
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