Tilbake til Nyheter
IndustriAI Understanding orientering

AI-skystartup Verda samler inn 189 millioner dollar i serie B-finansiering

Den europeiske neocloud-leverandøren Verda har sikret 189 millioner dollar i serie B-finansiering for å utvide datasenterkapasiteten og plattformkapasiteten, med mål om 250 MW driftskapasitet innen 2027.

4 min readRead the linked source
Source-page capture accompanying AI cloud startup Verda raises $189 million in Series B funding
KildereferanseKilde registrert
Utgiver
datacenterdynamics.com
Kilde lenke
datacenterdynamics.comhttps://www.datacenterdynamics.com/en/news/ai-cloud-startup-verda-raises-189m-in-series-b-funding-round/
Kildetype
Koblet kilde – status for primærkilde er ikke etablert.
KontekstForstå dette på 60 sekunder

Start her

Nøkkelord

AGI (Artificial General Intelligence)
Et hypotetisk AI-system som kan utføre de fleste intellektuelle oppgaver på menneskelig nivå på tvers av mange domener.
Inferens
Kjøretidsfasen der en trent modell genererer spådommer eller utdata.
Beregn
Behandlingsressursene som kreves for å trene og kjøre modeller, ofte målt i FLOPS- eller GPU-timer.
Test deg selvQuiz for forklaring av AI-modeller

Hva skjedde

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.

Kildedetaljer: datacenterdynamics.com ↗

Hvorfor det betyr noe

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

Interaktiv mekanisme: Hvordan det faktisk fungerer

Utforsk den underliggende teknologien bak denne utviklingen interaktivt.

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.
Interaktiv konseptsjekk+10 Points
AI Models Explained Quiz

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

Hva du skal se neste

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.

Relaterte guider og quizer

AI-modeller forklartKIs fremtidAI treningTest det du vet – prøv en gratis AI-quizSlå opp et AI-begrep i ordlisten vårFølg AI-finansieringssporeren
Fant du dette nyttig?