DeepL Deploys NVIDIA DGX SuperPOD in Europe for Enhanced Language AI
DeepL has deployed the NVIDIA DGX SuperPOD with DGX GB200 systems in Europe, announced in a press release. This deployment marks the first of its kind in Europe and is operational at DeepL's partner EcoDataCenter in Sweden.
The new computing platform allows DeepL to translate the entire web in just over 18 days, a significant improvement from the previous 194 days. This advancement enhances DeepL's research capabilities and product offerings, enabling faster and more nuanced translations.
The NVIDIA DGX SuperPOD, with its liquid-cooled, rack-scale design, provides the necessary computing power to train new models and develop innovative features for DeepL's Language AI platform. This deployment surpasses the capabilities of DeepL Mercury, the company's previous flagship supercomputer.
DeepL's enhanced infrastructure will support the development of multi-modal models and generative AI features, aiming for a more interactive user experience. The deployment is expected to deliver 30 times the text output compared to previous capabilities, significantly improving translation speed and accuracy.
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
Oct 24 Google Cleared 250,000 Trees for Finnish Data Center Before Environmental Review Oct 24 SpaceX AI Faces Potential $6.1 Million Penalty Over Mississippi Data Centers Oct 24 Ron Wyden proposes data center tax and AI worker aid Oct 24 Amazon Says AWS Cloud Capacity Is Largely Sold Out Through 2027 Oct 23 Cambricon Sales Miss Forecast Amid AI Chip Supply ConstraintsSilicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read moreYou may also like
NVIDIA Brings DSX Power and Cooling Controls to European AI Factories
Deepgram Runs Nova-3 on AWS Trainium2 With Up to 70% More Audio per Dollar
LeadDesk Builds Nordic Language Models on AMD Hardware
Axelera AI Ships Europa Accelerators With Dell and Supermicro Systems
Google Gives 200 European Scientists Access to AI Models
Daily AI Brief: the AI news that matters, in your inbox.