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Nvidia · Infrastructure

Nordic computing expansion spans cloud infrastructure and autonomous systems

·1 min read

Nordic countries are expanding advanced computing infrastructure alongside commercial deployments of AI. Regional cloud providers are projected to deploy 1 gigawatts of capacity by the end of 2027, supported by abundant renewable energy, rigorous data governance and ties between academia and industry. NVIDIA has also invested in Swedish startups Lovable and Legora, which develop software creation and legal-work platforms.

In Sweden, a consortium including Ericsson, AstraZeneca, Saab, SEB and Wallenberg Investments launched Sferical One, a shared supercomputer with 16 racks of NVIDIA DGX GB300 systems and 1,152 GPUs. The consortium plans to build services using NVIDIA Nemotron open models, enabling researchers to customize and deploy models in a secure environment.

Commercial applications range from Spotify’s faster, lower-cost podcast recommendations to Elisa’s forthcoming beta of a meeting and call assistant. ABB Robotics uses NVIDIA Omniverse libraries to train and validate robots virtually, reporting up to 99% simulation accuracy and commissioning-time reductions of up to 80%. Startups are applying NVIDIA models to patent analysis, multilingual retrieval and Swedish transcription, while Sweden AI Factory is opening infrastructure and expertise to startups and smaller businesses.

Volvo Cars and Einride are adopting NVIDIA technology for automated driving and autonomous freight. Toyota Material Handling Europe is using simulation to reduce autonomous solution deployment time by up to 50%. In quantum computing, Stockholm-based FirstQFM used accelerated computing to train a model that reduces quantum processor execution time by 33% without sacrificing performance.

Originally reported by blogs.nvidia.comRead the source →
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