Latest Verda News & Updates
See the latest news and media coverage for Verda. We track all announcements, press releases, and industry mentions in real time, all in one place.
European GPU cloud for AI training and inference
verda.com- Headquarters
- Helsinki, Finland
- Founded year
- 2020
- Company type
- Public company
- Number of employees
- 100–200
Last updated
Latest news about Verda
In short: Verda secured $117M in funding, rebranded from DataCrunch, and expanded its AI infrastructure with Arm AGI CPUs and NVIDIA GB300 GPUs.
Company announcements
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Verda raises $117M and announces key updates
Verda completes SOC 2 Type II audit, launches Confidential Computing and CLI, deploys Arm AGI CPU, partners with Compal and ExpressVPN, and plans expansions and hires.
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Verda announces strategic partnership with Compal
Compal supplies high-density liquid-cooled GPU servers for Verda's AI infrastructure, accelerating APAC expansion.
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Verda deploys Arm AGI CPU across AI infrastructure
It pairs with NVIDIA GB300 systems today and upcoming Vera Rubin fleet for a fully Arm-native stack built for agentic AI at scale.
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Verda raises $117M to expand
Funding from Lifeline Ventures and others will accelerate product development, market expansion into UK and US, and hiring 100+ staff; revenue run rate doubled to over $60M.
Media coverage
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[PRNewswire] Verda and Compal Announce Partnership
Under this collaboration, Compal will supply high-density, liquid-cooled AI server platforms. The platforms are engineered for the workloads defining the next wave of AI: agentic...
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Arm AGI CPU Goes to Market via Supermicro and Verda at 2026 OCP EMEA Summit
At the OCP EMEA Summit, Arm AGI CPU took center stage as Supermicro expanded its Data Center Building Block Solutions (DCBBS) with new Arm AGI...
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AI cloud Verda to deploy Arm's AGI CPU in its data centers
AI cloud provider Verda is set to offer its customers access to Arm’s new AGI CPU. The Finnish firm will become the latest ...
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Verda Bets $117M on AI Cloud as Workloads Fragment
Verda’s latest funding round targets AI workload fragmentation, focusing on optimized infrastructure for training and inference.
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