EdgeMode and Vertical Data to Develop AI-Optimized Data Center in Sweden
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:
More from Data Centers
Sep 30 Sophia Space and Redwire Explore Orbital Data Centers Sep 30 SKF Recreates Greta Garbo With AI for Magnetic Bearing Campaign Sep 30 LG Innotek Targets $5.94 Billion in Semiconductor and Physical AI Businesses Sep 29 Efficient Computer Raises $97 Million to Scale Its Processors Sep 29 Hikvision Adds HIKO AI Engine to Hik-Connect 7Silicon 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 moreYou may also like
Zettabyte and Raku Plan Renewable Energy AI Data Centers in Asia
Huawei Unveils Grid Interactive AI Data Center Solution
Schneider Electric Says AI Can Cut Building Energy Use by Up to 22%
Huawei presents grid interactive AI data center solution in Shanghai
Delta Develops Power and Cooling Infrastructure for NVIDIA DSX AI Factories
Daily AI Brief: the AI news that matters, in your inbox.