EdgeMode and Vertical Data to Develop AI-Optimized Data Center in Sweden

Aug 13, 2025
EdgeMode and Vertical Data have announced a strategic collaboration to develop a 20 MW AI-optimized data center in Sweden, combining renewable energy and flexible financing solutions.

EdgeMode and Vertical Data have announced a strategic collaboration to develop a 20-megawatt data center in Sweden, optimized for artificial intelligence (AI) and high-performance computing (HPC) workloads. This initiative was announced in a press release and aims to combine renewable-powered AI infrastructure with flexible financing options.

The collaboration will leverage EdgeMode's Marviken Smart Energy Cluster, which features 95 MW of renewable power and advanced cooling technologies, alongside Vertical Data's expertise in AI-cluster design and GPU/server supply. Vertical Data will also provide financing solutions through its GPUFinancing.com platform, facilitating scalable and cost-effective compute capacity for global AI and HPC customers.

Both companies plan to co-develop marketing materials, host webinars, and participate in industry events to promote the project. The first customer-ready solutions are expected to be showcased at upcoming industry events. The Memorandum of Understanding between the two companies is non-binding, with the completion of the collaboration subject to further agreements and customary closing conditions.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.