Jun 17, 2025 | Posted by Abdul-Rahman Oladimeji
Language AI company DeepL has deployed an Nvidia DGX SuperPOD with GB200 NVL72 systems at EcoDataCenter's Falun, Sweden, facility. DeepL will use the GB200 NVL72 systems to train its models, noting in a LinkedIn post that the system is powerful enough that it can translate the "entire web" in 18 days, a task which would previously have taken DeepL 194 days.
“At DeepL, we take pride in our unwavering commitment to research and development, which has consistently allowed us to deliver solutions that outshine our competitors. This latest deployment further cements our position as a leader in the Language AI space,” said Jarek Kutylowski, CEO and founder of DeepL.
“By equipping our research infrastructure with the latest technology, we not only enhance our existing offering but also explore exciting new products. The pace of innovation in AI is faster than ever, and integrating these advancements into our tech stack is essential for our continued growth.”
“Europe needs robust AI deployments to maintain its competitive edge, drive innovation, and address complex challenges across industries," added Charlie Boyle, VP of DGX systems at Nvidia. "By harnessing the performance and efficiency of our latest AI infrastructure, DeepL is poised to accelerate breakthroughs in language AI and deliver transformative new experiences for users across the continent and beyond."
