Cologne-based AI language unicorn DeepL has become one of the first companies that invest in the cutting-edge NVIDIA DGX SuperPOD with DGX GB200 systems. Expected to be fully operational by mid-2025, this deployment will provide DeepL with the advanced computing resources essential for evolving its AI research and expanding its translation and communication tools suite.
DeepL’s latest SuperPOD, featuring NVIDIA’s new GB200 Grace Blackwell Superchips and liquid-cooled rack-scale architecture, will allow the company to drive superscale generative AI workloads, underpinning its platform’s ability to deliver real-time, high-performance Language AI for professionals and businesses globally.
This enhanced infrastructure also supports the scalability of up to thousands of GPUs, positioning DeepL to continue pushing the boundaries of AI-driven language solutions.
“DeepL has always been a research-led company, which has enabled us to develop Language AI for translation that continues to outperform other solutions on the market,” says Jarek Kutylowski, CEO and founder of DeepL.
“This latest investment in NVIDIA accelerated computing will give our research and engineering teams the power necessary to continue innovating and bringing to market the Language AI tools and features that our customers know and love us for.”
SuperPOD upgrade for faster Language AI
The DGX GB200 SuperPOD will be deployed at DeepL’s Swedish data centre, joining an NVIDIA DGX H100 SuperPOD installation from last year. This upgrade promises even more processing capacity than the DeepL Mercury, a system ranked among the Top500 supercomputers.
DeepL aims to deliver near-instant AI responses and power advancements in language model training and inference with this high-performance AI infrastructure.
“Customers using Language AI applications expect nearly instant responses, making efficient and powerful AI infrastructure critical for both building and deploying AI in production,” explains Charlie Boyle, Vice President of NVIDIA DGX Platform at NVIDIA.
“DeepL’s deployment of the latest NVIDIA DGX SuperPOD will accelerate its Language AI research and development, empowering users to communicate more effectively across languages and cultures.”
DeepL, which has rapidly grown its customer network to encompass over 100,000 businesses and governmental organisations—including 50 percent of the Fortune 500—continues to build on a year of notable achievements.
In addition to expanding into New York and introducing updates to its translation tools, the company recently launched a next-generation large language model, claiming unmatched performance in translation quality over leading platforms like GPT-4 and Google.
The Cologne-based company, recently minted as a unicorn, announced in May that it secured $300 million (approximately €277 million) in funding at a $2 billion valuation. Led by Index Ventures, the investment round included late-stage backers ICONIQ Growth and Teachers’ Venture Growth, as well as continued support from existing investors IVP, Atomico, and WiL.
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