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AI 클라우드 스타트업 Verda, 시리즈 B 펀딩에서 1억 8,900만 달러 유치

유럽 네오클라우드 제공업체인 Verda는 2027년까지 운영 용량 250MW를 목표로 데이터 센터 용량과 플랫폼 기능을 확장하기 위해 시리즈 B 자금에서 1억 8900만 달러를 확보했습니다.

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Source-page capture accompanying AI cloud startup Verda raises $189 million in Series B funding
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datacenterdynamics.com
소스 링크
datacenterdynamics.comhttps://www.datacenterdynamics.com/en/news/ai-cloud-startup-verda-raises-189m-in-series-b-funding-round/
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주요 용어

AGI(인공일반지능)
다양한 영역에 걸쳐 인간 수준에서 대부분의 지적 작업을 수행할 수 있는 가상의 AI 시스템입니다.
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훈련된 모델이 예측 또는 출력을 생성하는 런타임 단계입니다.
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모델을 훈련하고 실행하는 데 필요한 처리 리소스는 FLOPS 또는 GPU 시간으로 측정되는 경우가 많습니다.
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무슨 일이 일어났나요?

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.

소스 세부정보: datacenterdynamics.com ↗

왜 중요한가요?

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

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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.
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AI Models Explained Quiz

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

다음에 무엇을 볼 것인가

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.

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