Language AI company DeepL announced the deployment of an NVIDIA DGX SuperPOD with DGX Grace Blackwell 200 systems. The company said the system will enable DeepL to translate the entire internet – which currently takes 194 days of nonstop processing – in just over 18 days.
This will be the first deployment of its kind in Europe, DeepL said, adding that the system is operational at DeepL’s partner EcoDataCenter in Sweden.
“The new cluster will enhance DeepL’s research capabilities, unlocking powerful generative features that will allow the Language AI platform to expand its product offerings significantly,” DeeppL said. “With this advanced infrastructure, DeepL will approach model training in an entirely new way, paving the path for a more interactive experience for its users.”
NVIDIA DGX SuperPOD with DGX GB200
In the short term, users can expect immediate enhancements, including increased quality, speed and nuance in translations, along with greater interactivity and the introduction of more generative AI features, according to the company. Looking to the future, multi-modal models will become the standard at DeepL. The long-term vision includes further exploration of generative capabilities and an increased focus on personalization options, ensuring that every user’s experience is tailored and unique.
This deployment will provide the additional computing power necessary to train new models and develop innovative features for DeepL’s Language AI platform. NVIDIA DGX SuperPOD with DGX GB200 systems, with its liquid-cooled, rack-scale design and scalability for tens of thousands of GPUs, will enable DeepL to run high-performance AI models essential for advanced generative applications.
This marks DeepL’s third deployment of an NVIDIA DGX SuperPOD and will surpass the capabilities of DeepL Mercury, its previous flagship supercomputer.
“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.”
According to the company, capabilities of the new clusters include:
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Translating the entire web into another language, which currently takes 194 days of non-stop processing, will now be achievable in just 18.5 days.
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The time required to translate the Oxford English Dictionary into another language will drop from 39 seconds to two seconds.
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Translating Marcel Proust’s In Search of Lost Time will be reduced from 0.95 seconds to 0.09 seconds.
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Overall, the new clusters will deliver 30 times the text output compared to previous capabilities.
“Europe needs robust AI deployments to maintain its competitive edge, drive innovation, and address complex challenges across industries” said Charlie Boyle, Vice President 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.”
