Latest news with #DGXSuperPOD
Yahoo
5 days ago
- Business
- Yahoo
Nvidia (NVDA) Teams With Novo Nordisk to Advance AI Drug Discovery
Nvidia (NVDA, Financials) said Tuesday it is partnering with Novo Nordisk to accelerate drug discovery using its generative and agentic AI tools. Warning! GuruFocus has detected 4 Warning Signs with NVDA. The collaboration will use Denmark's sovereign AI supercomputer, Gefion, operated by DCAI and powered by Nvidia's DGX SuperPOD. Novo Nordisk will deploy Nvidia's BioNeMo, NeMo and NIM platforms to support early research, clinical development and biomedical modeling. Nvidia said the work aims to build custom AI models that help scientists identify cellular responses and develop drug-like molecules more efficiently. Novo Nordisk said the infrastructure will enable experiments at unprecedented scale. Gefion is also being used by Danish startups and health agencies to build AI care systems and unify national health data, Nvidia said. This article first appeared on GuruFocus. Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
Mid East Info
12-06-2025
- Business
- Mid East Info
DeepL first to deploy NVIDIA DGX SuperPOD with DGX GB200 systems in Europe, advancing Language AI with powerful generative features and enhanced user experience
DeepL's Language AI platform can now translate the entire web into another language in just 18.5 days – down from 194 days Paris, France – 11th June 2025 – DeepL, a leading global Language AI company, today announced the deployment of an NVIDIA DGX SuperPOD with DGX GB200 systems. This transformative computing platform will enable DeepL to translate the entirety of the internet – which currently takes 194 days of nonstop processing – in just over 18 days, marking a significant leap forward in DeepL's research and product capabilities. This deployment marks the first deployment of DGX SuperPOD with DGX GB200 systems in Europe, which is now operational at DeepL's partner EcoDataCenter in Sweden. Driving Research and Innovation 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. 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. 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. 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. Technical Advancements 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, now surpassing 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.' Delivering Extraordinary Translation Quality The deployment of these new racks will make DeepL faster and more accurate than ever before. Standout capabilities of the new clusters include: 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. The time required to translate the Oxford English Dictionary into another language will drop from 39 seconds to two seconds. Translating Marcel Proust's In Search of Lost Time , the world's longest book, will be reduced from 0.95 seconds to just 0.09 seconds. 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.' About DeepL DeepL is on a mission to break down language barriers for businesses everywhere. Over 200,000 businesses and governments and millions of individuals across 228 global markets trust DeepL's Language AI platform for human-like translation in both written and spoken formats, as well as natural, improved writing. Designed with enterprise security in mind, companies around the world leverage DeepL's AI solutions that are specifically tuned for language to transform business communications, expand markets and improve productivity. Founded in 2017 by CEO Jaroslaw (Jarek) Kutylowski, DeepL today has over 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP and Index Ventures.
Korea Herald
11-06-2025
- Business
- Korea Herald
DeepL first to deploy NVIDIA DGX SuperPOD with DGX GB200 systems in Europe, advancing Language AI with powerful generative features and enhanced user experience
DeepL's Language AI platform can now translate the entire web into another language in just 18.5 days – down from 194 days PARIS, June 11, 2025 /PRNewswire/ -- DeepL, a leading global Language AI company, today announced the deployment of an NVIDIA DGX SuperPOD with DGX GB200 systems. This transformative computing platform will enable DeepL to translate the entirety of the internet – which currently takes 194 days of nonstop processing – in just over 18 days, marking a significant leap forward in DeepL's research and product capabilities. This deployment marks the first deployment of DGX SuperPOD with DGX GB200 systems in Europe, which is now operational at DeepL's partner EcoDataCenter in Sweden. Driving Research and Innovation 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. 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. 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. 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. Technical Advancements 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, now surpassing 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." Delivering Extraordinary Translation Quality The deployment of these new racks will make DeepL faster and more accurate than ever before. Standout capabilities of the new clusters include: "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." About DeepL DeepL is on a mission to break down language barriers for businesses everywhere. Over 200,000 businesses and governments and millions of individuals across 228 global markets trust DeepL's Language AI platform for human-like translation in both written and spoken formats, as well as natural, improved writing. Designed with enterprise security in mind, companies around the world leverage DeepL's AI solutions that are specifically tuned for language to transform business communications, expand markets and improve productivity. Founded in 2017 by CEO Jaroslaw (Jarek) Kutylowski, DeepL today has over 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP and Index Ventures. For more information, visit
CNBC
11-06-2025
- Business
- CNBC
German startup DeepL says latest Nvidia chips lets it translate the whole internet in just 18 days
DeepL on Wednesday said it was deploying one of the latest Nvidia systems that would allow the German startup to translate the whole internet in just 18 days. This is sharply down from 194 days previously. , DeepL is a startup that has developed its own AI models for and competes with Google Translate. Nvidia is meanwhile looking to expand the customer base for its chips — which are designed to power artificial intelligence applications — beyond hyperscalers such as Microsoft and Amazon. It also highlights how startups are using Nvidia's high-end products to build AI applications, which are viewed as the next step after foundational models, such as those designed by OpenAI. The Cologne-based company is deploying an Nvidia system known as DGX SuperPOD. Each of the DGX SuperPOD server racks contains 36 B200 Grace Blackwell Superchips, one of the company's latest products on the market. Nvidia's chips are required to train and run huge AI models, such as the ones designed by DeepL. "The idea is, of course, to provide a lot more computational power to our research scientists to build even more advanced models," Stefan Mesken, chief scientist at DeepL, told CNBC. Mesken said the upgraded infrastructure would help enhance current products like Clarify, which the company launched this year. Clarify is a tool that asks users questions to make sure context is incorporated in the translation. "It just wasn't technically feasible until recently with the advancements that we've made in our next-gen efforts. This has now became possible. So those are the kinds of advances that we continue to hunt for," Mesken said.
Yahoo
26-03-2025
- Business
- Yahoo
NVIDIA (NasdaqGS:NVDA) Fuels European AI Growth Through Green Data Centers
NVIDIA recently announced a collaboration with Fluidstack to deploy and manage Exascale clusters across Europe and Iceland, leveraging cutting-edge AI technology and sustainable energy solutions. This expansion aligns with the growing demand for AI infrastructures. Despite innovative moves, NVIDIA shares noted a 5% decline amidst a broader tech sector downturn, influenced by investor concerns over tariffs and recession fears impacting markets. As the market rose 3% over the past week, NVIDIA's price move of 4.56% suggests these strategic activities and adverse sector influences played conflicting roles in shaping the company's total shareholder returns. Every company has risks, and we've spotted 2 possible red flags for NVIDIA (of which 1 is potentially serious!) you should know about. We've found 20 US stocks that are forecast to pay a dividend yeild of over 6% next year. See the full list for free. The last five years have seen NVIDIA's total shareholder returns reach a very large 1738.16%, underlining significant growth. During this period, the company expanded into new sectors such as autonomous vehicles, sparked by partnerships with automotive giants like Toyota and Uber. This expansion into AI reasoning models and scaling of AI infrastructure contributed steadily to revenue growth, especially from data centers and automotive sectors. Furthermore, NVIDIA maintained a continuous stream of product innovations, most notably the launch of its cutting-edge GPUs like the DGX SuperPOD with Blackwell Ultra, which were pivotal in revolutionizing AI capabilities. Despite regulatory challenges and tariff concerns that impacted growth potential temporarily, NVIDIA's focus on operational efficiency and the rapid ramp-up of Blackwell architecture production sustained its strong performance. As a result, NVIDIA exceeded the US Semiconductor industry and broader US market returns over the past year, showcasing its resilience amidst global industry challenges and investor concerns. In financial terms, NVIDIA reported annual earnings increasing to US$72.88 billion, reflecting a robust fiscal foundation that enhanced shareholder value significantly. Click here and access our complete financial health analysis report to understand the dynamics of NVIDIA. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include NasdaqGS:NVDA. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Sign in to access your portfolio
