Latest news with #rack-scale
Mid East Info
a day ago
- 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
2 days ago
- 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
Yahoo
19-05-2025
- Business
- Yahoo
Nvidia's Key Differentiators Include Its Ability To Expand Its Addressable Market: Analyst
BofA Securities analyst Vivek Arya maintained a Buy rating on Nvidia Corp. (NASDAQ:NVDA) with a price forecast of $160 on Monday. Arya listened to Nvidia CEO's Computex 2025 keynote and then had a chance to virtually catch up with management (CFO) after the event. The analyst highlighted Nvidia's expanding portfolio, TAM (Total Addressable Market) expansion with the new NVLINK Fusion, rack-scale in full production, RTX Pro enterprise server, and sovereign AI Arya's top sector pick. The company's expanding portfolio implies a broad set of AI products across cloud, enterprise, humanoid robots, workstations, gaming, software libraries, quantum, and 6G, all underlying what Nvidia referred to as a 'multi-trillion dollar AI factory' industry, per the analyst. He noted that TAM expansion with the new NVLINK Fusion opened Nvidia's proprietary interconnect and networking tech to third-party custom accelerators (ASICs) and CPUs. Arya is highly confident in rack-scale GB200 NVL 72 Blackwell Systems, and the transition path to next-gen Blackwell Ultra GB300 systems will be easier from the third quarter. The analyst said the RTX Pro enterprise server extends AI into the enterprise, causing more competition for legacy x86. He also highlighted some benefits from last week's Middle-East deals in the second half of 2025, though more benefits will be seen from 2026 onward (a 5-year project), given the time required to set up new infrastructure. As per Arya, the next significant catalyst is the fiscal first-quarter earnings call, which could be contentious, related to recent restrictions on China H20 shipments. As per the analyst, Nvidia's key differentiators include its ability to expand its addressable market across multiple vectors of silicon, systems, software, and services, drive scale with global supply-chain partners, and solid balance sheet to make strategic investments in the ecosystem. With NVLInk Fusion, Nvidia can provide its proprietary interconnect fabric and switch (Spectrum) to cloud service providers for use as chiplet in systems with (modified) third-party ASICs (from partners Marvell Technology, Inc. (NASDAQ: MRVL)) or extend the integration of Nvidia GPU with other Arm Holdings (NASDAQ:ARM)-based CPU (Qualcomm Inc. (NASDAQ: QCOM)) Arya noted. Separately, Nvidia launched Grace CPU C1, a new single-socket CPU for power efficient edge, telco, and storage systems, competing against rival x86 products from Intel Corp. (NASDAQ:INTC) and Advanced Micro Devices, Inc. (NASDAQ:AMD), he added. Although Nvidia said it was incredibly challenging, Grace Blackwell is in full production. The analyst noted that his management discussion suggests a higher level of confidence in the rollout and robust demand. Unlike GTC, it did not provide any specific metrics on cloud orders. Nvidia is on track to upgrade to Grace Blackwell GB300 in the third quarter, which has similar architecture as GB200 but with an upgraded Blackwell chip, 1.5x more inference likely due to its 1.5x more high-bandwidth memory and 2x networking, Arya said. The analyst highlighted that management made no specific comments on gross margin progression. Last, no new Hopper or salvage of China H20 products were written down recently; only low-volume L20 is being sold, he said. He added that China is still important at $50 billion TAM per Nvidia. Price Action: Nvidia stock is trading lower by 0.08% to $135.30 at last check Monday. Image by Piotr Swat via Shutterstock Date Firm Action From To Mar 2022 Goldman Sachs Reinstates Neutral Feb 2022 Summit Insights Group Downgrades Buy Hold Feb 2022 Mizuho Maintains Buy View More Analyst Ratings for NVDA View the Latest Analyst Ratings UNLOCKED: 5 NEW TRADES EVERY WEEK. Click now to get top trade ideas daily, plus unlimited access to cutting-edge tools and strategies to gain an edge in the markets. Get the latest stock analysis from Benzinga? NVIDIA (NVDA): Free Stock Analysis Report This article Nvidia's Key Differentiators Include Its Ability To Expand Its Addressable Market: Analyst originally appeared on © 2025 Benzinga does not provide investment advice. All rights reserved. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
