10 Sources
10 Sources
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Samsung building facility with 50,000 Nvidia GPUs to automate chip manufacturing
Jensen Huang, chief executive officer of Nvidia Corp., during the keynote address at the Nvidia GTC (GPU Technology Conference) in Washington, DC, US, on Tuesday, Oct. 28, 2025. Korean semiconductor giant Samsung said on Thursday that it plans to buy and deploy a cluster of 50,000 Nvidia graphic processing units to improve its chip manufacturing for mobile devices and robots. The 50,000 Nvidia GPUs will be used to create a facility Samsung is calling an "AI Megafactory." Samsung didn't provide details about when the facility would be built. It's the latest splashy partnership for Nvidia, whose chips remain essential for building and deploying advanced artificial intelligence. The collaboration with Samsung comes after Nvidia CEO Jensen Huang on Tuesday announced in Washington, D.C., that Nvidia was selling collaborating with companies including Palantir, Eli Lilly, CrowdStrike and Uber. Shortly after the speech, Huang was spotted in South Korea drinking beer with Samsung Chairman Lee Jae-yong and other business leaders, according to local media. Other Korean companies, including SK Group and Hyundai, are also deploying similar amounts of GPUs, Nvidia said. "We're working closely with the Korean government to support its ambitious leadership plans in AI," Raymond Teh, Nvidia's senior vice president of Asia-Pacific, said on a call with reporters on Wednesday. The partnerships support Huang's claim on Tuesday that Nvidia has a book of business that totals $500 billion from its current generation GPU, called Blackwell, in addition to its next-generation GPU, called Rubin. The forecast helped boost Nvidia's stock, making the company the first to reach a market cap of $5 trillion. On Thursday, Nvidia representatives said they will work with Samsung to adapt the Korean company's chipmaking lithography platform to work with Nvidia's GPUs. That process will results in 20 times better performance for Samsung, the Nvidia representatives said. Samsung will also use Nvidia's simulation software called Omniverse. Known for its mobile phones, Samsung also said it would use the Nvidia chips to run its own AI models for its devices. In addition to being a partner and customer, Samsung is also a key supplier for Nvidia. Samsung makes the kind of high-performance memory Nvidia uses in large quantities, alongside its AI chips, called high bandwidth memory. Samsung said it will work with Nvidia to tweak its fourth-generation HBM memory for use in AI chips.
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Samsung and Nvidia join forces for AI megafactory with 50,000 GPUs
Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. The takeaway: While OpenAI and other AI startups continue to lose massive amounts of money on their "future-proof" services, Nvidia keeps selling the GPUs needed to power large-scale model training and inference workloads. Bottom line: the GeForce giant is well-positioned to ride the AI wave far longer than almost any other company in the stock market. Nvidia and Samsung have announced a partnership to build a new "AI megafactory" featuring significant acceleration capabilities. The South Korean conglomerate plans to install a cluster of 50,000 GPUs designed by Nvidia, with the primary goal of enhancing chip manufacturing for mobile devices and robotics. Samsung has yet to provide detailed information about the new facility, but the deal has been confirmed by multiple sources. According to Raymond Teh, Nvidia's senior vice president for the Asia-Pacific region, the company aims to support the South Korean government's ambitious plans for AI technology deployment. Prior to Teh's confirmation, Nvidia CEO Jensen Huang was reportedly seen meeting with Samsung Chairman Lee Jae-yong and Hyundai Chairman Chung Eui-sun over beer. Nvidia is also collaborating with other major South Korean corporations to supply a comparable number of GPUs for accelerating AI workloads. Samsung's Jay Y Lee, Hyundai's Chung Euisun and Nvidia's Jensen Huang eat at a fried chicken restaurant in Seoul. The collaboration between Nvidia and Samsung is expected to have a lasting impact on both companies, and potentially the chip industry as a whole. Samsung is one of the few companies worldwide with its own chipmaking facilities, while Nvidia continues to rely on third-party foundries to manufacture its complex, proprietary GPU designs for the market. Nvidia will also adapt its designs to Samsung's lithography-based manufacturing platform for its new accelerators. According to Nvidia representatives, this closer technological cooperation could provide the Korean foundry with a 20 percent performance uplift. Nvidia's Omniverse platform, which integrates GPU technologies into existing software tools, is expected to play a role in the partnership as well. Through this collaboration, Samsung strengthens its position as a key partner in Nvidia's high-performing chip ecosystem, while Nvidia secures its business prospects for years to come. The company recently became the first $5 trillion public company in Wall Street history, and Huang confirmed that partners have already booked $500 billion worth of GPU orders for both the Blackwell and upcoming Rubin GPU architectures. Image credit: APEC 2025 Korea & Yonhap News
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Samsung is quietly building an AI-powered super factory
Samsung has announced plans to build what it calls an "AI Megafactory," powered by over 50,000 Nvidia GPUs and the Nvidia Omniverse platform. The project aims to embed AI intelligence throughout its semiconductor, mobile, and robotics operations. This would set the stage for what could become a global benchmark in intelligent manufacturing and transform its semiconductor and robotics production. Samsung's goal is to use AI to connect design, manage processes, operate equipment, and ensure quality control within a unified digital system. Using Nvidia's cuLitho and CUDA-X libraries, the company claims a 20-fold improvement in computational lithography. These gains suggest shorter development cycles and more efficient fabrication are achieved through a process essential for producing accurate wafer patterns. However, questions remain about the long-term stability and maintenance of such AI-reliant systems. The company is also collaborating with partners in electronic design automation to develop GPU-accelerated EDA tools that could redefine chip design efficiency. Samsung will use Nvidia Omniverse libraries to create digital twins of its fabrication plants, simulating factory operations to identify faults and optimize performance before real-world deployment. While this approach may improve efficiency, it also increases Samsung's reliance on cloud hosting and web hosting for data processing and visualization. It also increases its dependence on AI-driven design, which raises issues of oversight, reproducibility, and the potential for technical lock-in within Nvidia's ecosystem. Samsung is also extending its AI infrastructure into robotics, applying Nvidia RTX PRO 6000 Blackwell Server Edition systems and the Jetson Thor platform. These technologies aim to enhance automation and autonomy in both humanoid and industrial robots. They promise greater precision and adaptability and reflect an industry trend toward merging physical and digital intelligence under centralized platforms. Samsung and Nvidia's collaboration extends over 25 years, evolving from memory supply for early graphics cards to joint development of next-gen HBM4 memory. The new AI Megafactory appears to strengthen that relationship, but the consolidation of advanced AI tools within a few dominant tech alliances raises broader concerns.
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Samsung and Nvidia to build an AI Megafactory to transform semiconductor manufacturing - SiliconANGLE
Samsung and Nvidia to build an AI Megafactory to transform semiconductor manufacturing Samsung Electronic Co. Ltd. said today it's partnering with Nvidia Corp. to build an "AI Megafactory" that will accelerate its semiconductor manufacturing operations. The company said it will deploy more than 50,000 of Nvidia's most advanced graphics processing units in the new facility to embed artificial intelligence throughout its entire chip manufacturing flow. It's also planning to leverage AI to help with chip development and design to facilitate a new generation of semiconductors, mobile devices and robotics with enhanced AI capabilities of their own. Samsung isn't talking about the "traditional" AI factories that Nvidia is building in partnership with the United States Department of Energy and Oracle Corp. Those previously announced facilities are essentially data centers that theCUBE Research defines as "a purpose-built system for AI production", providing the immense computing infrastructure needed to train and run AI models. Rather, it's building an AI-enabled semiconductor manufacturing plant that will embed automation into almost every stage of its chip manufacturing operations, including design, equipment, operations and quality control. The company likens the planned factory to a "single intelligent network", where AI will continuously monitor and analyze its production environments, make predictions, inform maintenance and optimize everything to try and boost its chipmaking yields. Samsung outlined a yearslong initiative that will see it integrate Nvidia's accelerated computing capabilities throughout its proposed factory, with the main purpose being to scale its manufacturing operations. To do this, it's going to rely heavily on AI-powered "digital twins", or virtual replicas of its chip products. Using the Nvidia Omniverse platform, it'll create digital twins of every component that goes into its semiconductors, including memory, logic, advanced packing and more. It's also going to create twins of its actual fabrication plants and the expensive machinery within them. The company explained that this will allow it to visualize its chip manufacturing operations in a virtual environment, where it will be able to check how they perform before it launches its physical production lines. It'll be able to spot anomalies and work out where preventative maintenance will be needed, how to optimize production and more, then apply what it learns to its real-world factory. What's more, it's not just doing this for chips. Although it plans to start with semiconductors, the company also wants to create digital twin environments of its hardware factories, where it manufactures devices such as its Galaxy smartphones and other products such as kitchen appliances and televisions. One example of how AI can help with chipmaking is the "optical proximity correction" process, which is a critical step to ensure wafer pattern accuracy. In early tests, Samsung said its AI-enhanced OPC process helped to increase the speed and precision in which it can identify, predict and correct circuit pattern violations and abnormalities, resulting in a 20-times improvement in computational lithography performance. Nvidia's cuLitho and CUDA-X libraries were critical in enabling this, the company revealed. AI can also help to enhance electric design automation or EDA, which involves using specialized computer-aided software for designing new computer chips. The plan is to leverage Nvidia's software and hardware to create a new generation of GPU-accelerated EDA tools. AI won't just help Samsung to design and optimize its semiconductor manufacturing operations. It will also help to automate the physical tasks of making its chips through the introduction of more intelligent factory robotics. For instance, Samsung said it's using Nvidia's RTX Pro 600 Blackwell Server Edition platform alongside its Megatron framework to develop more advanced AI models to power its robots. These models demonstrate advanced reasoning capabilities that can be integrated directly into its factory machines and humanoid robots, allowing them to work with greater autonomy and precision, alongside humans. Nvidia is also helping Samsung to link virtual simulations with real-world robot data, so its robots will be better able to perceive their physical surroundings and make faster, intelligent decisions in real world scenarios. It's doing this with the Nvidia Jetson Thor robotic platform, creating models for robots focused on task execution and workplace safety awareness. Like with its AI-enabled manufacturing optimizations, Samsung will also introduce its advanced robots into the rest of its manufacturing ecosystem in future. Beyond the AI Megafactory, Samsung said it's working with Nvidia and a number of South Korea's top telecommunications companies to improve network communications. They're collaborating on the development of a technology called AI-RAN, which integrates AI into mobile networks to support the deployment of AI agents and "physical AI" such as intelligent robots, drones and industrial equipment. Samsung has already demonstrated a proof of concept of AI-RAN, which it says will be critical for the future adoption of physical AI. Meanwhile, Samsung said it continues to work with Nvidia on the development of its high-bandwidth memory chips, or HBM4, which are an essential component of AI servers. The company is making up for lost time here, as it has fallen behind its biggest competitor SK Hynix Inc. in the HBM memory chip sector, but believes it will ultimately be able to deliver superior performance when its HBM4 chips enter production next year. . According to Samsung, HBM4 chips is built on its sixth-generation 10-nanometer-class dynamic random-access memory and a 4nm logic base die, enabling processing speeds of up to 11 gigabits-per-second, exceeding the Joint Electron Device Engineering Council Solid State Technology Association's standard of 8Gbps.
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NVIDIA and Samsung working even closer together, new semiconductor AI factory has 50,000+ GPUs
TL;DR: Samsung and NVIDIA are partnering to build a cutting-edge AI factory powered by over 50,000 NVIDIA GPUs, integrating advanced semiconductor technologies and AI-driven production. This collaboration aims to optimize manufacturing with real-time AI analysis, digital twins, and next-gen innovations, marking a new era in intelligent, autonomous chip manufacturing. Samsung and NVIDIA have just announced plans to build a new AI factory, with the new state-of-the-art AI factory combining Samsung's semiconductor technologies with NVIDIA platforms to establish the foundation of next-gen, AI-driven production. The new AI factory will be powered by over 50,000 NVIDIA GPUs, where Samsung's new semiconductor AI factory to be the centerpiece of the company's digital transformation, integrating accelerated computing directly into full-fledged advanced chip manufacturing. Samsung and NVIDIA will be collaborating in other businesses, including next-gen HBM4, EDA tools, AI-RAN, and more. Samsung plans to use the AI megafactory to integrate its labyrinthine manufacturing processes into "a single intelligent network, where AI continuously analyzes, predicts, and optimizes production environments in real time". Samsung will also be building digital twins to digitally visualize fab operations, where it will be using the "virtual environments to identify anomalies, perform predictive maintenance, and optimize production before changes are applied in the physical world". Jensen Huang, founder and CEO of NVIDIA, said: "We are at the dawn of the AI industrial revolution - a new era that will redefine how the world designs, builds and manufactures. As Korea's and one of the world's foremost technology and industrial leaders, Samsung is forging its AI foundation with NVIDIA to lead the future of intelligent and autonomous manufacturing - transforming Samsung itself and the many industries around the world built on Samsung technologies". Jay Y. Lee, executive chairman of Samsung Electronics, added: "NVIDIA has been a visionary of this new AI era, and its technologies have empowered innovators to reinvent industries. From Samsung's DRAM for NVIDIA's game-changing graphics card in 1995 to our new AI factory, we are thrilled to continue our longstanding journey with NVIDIA in leading this transformation as we envision creating new standards for the future and accelerating breakthroughs for the world".
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Samsung Teams up with NVIDIA to Focus on AI Hardware - Phandroid
There's been a lot of debate around AI-based software and hardware tech over the past few years, but it's clear that all the major players in the tech industry are going all-in. Take for example Samsung, which recently announced that it's entered into a major partnership with NVIDIA to build a new "AI Megafactory," aiming to lead the shift toward AI-driven manufacturing. The factory will deploy over 50,000 NVIDIA GPUs to embed AI across Samsung's entire production flow, which includes different divisions such as semiconductors, mobile devices, and robotics. Samsung says that this move will integrate every aspect of chip manufacturing -- from design to quality control -- into a single intelligent network that continuously analyzes and optimizes production in real time. The two companies are also strengthening their collaboration by working on the advanced HBM4 memory for future AI applications. Samsung is using NVIDIA's technologies like its Omniverse platform for virtual factory simulations and cuLitho for lithography, which has already resulted in a 20x gain in performance. The partnership extends to next-generation memory solutions, foundry services, and the development of AI-RAN technology for telecommunications.
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Samsung Will Build an AI Megafactory in Partnership With Nvidia
* The AI megafactory will include 50,000 Nvidia GPUs * Nvidia will also offer its Omniverse platform to Samsung * Samsung and Nvidia have been collaborating for over 25 years Samsung and Nvidia announced a partnership to build a new artificial intelligence (AI) megafactory on Friday. The AI megafactory will be powered by 50,000 Nvidia GPUs and will revamp the company's entire manufacturing operation with automation. The South Korean tech giant said that AI-powered systems will be implemented across its semiconductor, smartphone, and robotics manufacturing.
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Samsung and NVIDIA Enter Massive Partnership to Build a 50,000-GPU "AI Factory," Collaborating on AI-RAN & Cutting-Edge Technologies
Samsung and NVIDIA are now significantly enhancing their 25-year collaborative relationship by undertaking a project to build a full-fledged AI factory, equipped with over 50,000 NVIDIA GPUs. In addition, the two behemoths continue to collaborate with each other in diverse spheres, including HBM4, EDA tools, and AI-RAN. Samsung has partnered with NVIDIA to deploy 50,000 of NVIDIA's GPUs: "By deploying more than 50,000 NVIDIA GPU's, AI will be embedded throughout Samsung's entire manufacturing flow, accelerating development and production of next-generation semiconductors, mobile devices and robotics." Samsung intends to use this AI megafactory to integrate its labyrinthine manufacturing processes into "a single intelligent network, where AI continuously analyzes, predicts, and optimizes production environments in real time." To scale its AI factory in the years to come, Samsung also plans to leverage NVIDIA accelerated computing and implement digital twin manufacturing with the help of NVIDIA Omniverse libraries. For those who may not be aware, NVIDIA Omniverse is a simulation platform for building and operating real-time 3D applications, services, and virtual worlds. And, digital twin manufacturing allows for the creation of a virtual replica of a physical manufacturing process, enabling companies to monitor and analyze the entire process in real-time. Samsung plans to build digital twins to digitally visualize its fab operations, using these "virtual environments to identify anomalies, perform predictive maintenance, and optimize production before changes are applied in the physical world." Eventually, Samsung plans to expand its AI factory infrastructure to its global manufacturing hubs, including its US base in Taylor.
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NVIDIA and Samsung partner to build AI factory with 50,000 GPUs By Investing.com
Investing.com -- NVIDIA Corporation (NASDAQ:NVDA) and Samsung Electronics Co Ltd DRC (LON:0593xq) announced plans to build a new AI factory that will integrate intelligent computing with chip manufacturing. The state-of-the-art facility will be powered by more than 50,000 NVIDIA GPUs and serve as a centerpiece of Samsung's digital transformation, according to a Thursday announcement. "We are at the dawn of the AI industrial revolution -- a new era that will redefine how the world designs, builds and manufactures," said Jensen Huang, founder and CEO of NVIDIA. Jay Y. Lee, executive chairman of Samsung Electronics, noted that the companies' partnership dates back to 1995 when Samsung provided DRAM for NVIDIA's first graphics card. The collaboration aims to establish a global benchmark for AI-driven semiconductor manufacturing at scale. The system will integrate data from physical equipment and production workflows to achieve predictive maintenance, process improvements, and increased operational efficiency in autonomous fab environments. Samsung is using NVIDIA's Omniverse platform to create digital twins of its global fabs, which will shorten the time from design to operations. The company is also deploying NVIDIA RTX PRO Servers with RTX PRO 6000 Blackwell Server Edition GPUs to speed up intelligent logistics. For computational lithography, Samsung has integrated NVIDIA's cuLitho library into its advanced lithography platform, resulting in 20 times greater performance in the semiconductor manufacturing process. The partnership extends beyond manufacturing to include robotics and mobile devices. Samsung is using NVIDIA robotics technologies on RTX PRO Servers to chart the future of intelligent robotics across manufacturing automation and humanoid robot applications. The companies are also working with Korean telecom operators and academic institutions to develop AI-RAN network technology, combining AI and mobile network workloads. This announcement follows NVIDIA's other recent partnerships in South Korea, including collaborations with SK Group and Hyundai Motor Group, as well as a broader initiative with the South Korean government to build AI infrastructure in the country.
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Samsung Electronics, Nvidia to Build AI Factory in New Chip Deal
Samsung Electronics plans to build a new artificial intelligence factory in partnership with Nvidia, as the companies unveiled a new chip supply deal. The South Korean giant said Friday that it will deploy over 50,000 Nvidia GPUs, embedding AI throughout the entire semiconductor manufacturing flow, which it said will accelerate the development and production process of semiconductors, mobile devices and robotics. "Samsung's AI Factory will integrate every aspect of semiconductor manufacturing, from design and process to equipment, operations and quality control, into a single intelligent network," it said. It plans to integrate its AI factory infrastructure, including Nvidia's robotic platform for humanoid robotics and manufacturing automation, across its global manufacturing hubs, including in Texas, U.S. It aims to improve the chipmaking process, from design to production, and optimize production in real-time. Samsung's partnership with Nvidia spans decades. The company has been developing proprietary AI models that power more than 400 million of its devices, built on Nvidia's accelerated computing and Megatron framework, it said.
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Samsung announces plans to deploy 50,000 Nvidia GPUs in an AI Megafactory to transform semiconductor manufacturing through intelligent automation, digital twins, and AI-driven optimization across chip design and production processes.
Samsung Electronics has announced a groundbreaking partnership with Nvidia to construct what the Korean semiconductor giant calls an "AI Megafactory," featuring a massive deployment of 50,000 Nvidia graphics processing units. This ambitious project represents a significant leap forward in intelligent manufacturing, positioning Samsung at the forefront of AI-driven semiconductor production
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Source: Gadgets 360
The collaboration was solidified following high-level meetings between industry leaders, including Nvidia CEO Jensen Huang and Samsung Chairman Lee Jae-yong, who were reportedly seen dining together in Seoul alongside other Korean business executives. The partnership extends beyond Samsung, with other major Korean corporations including SK Group and Hyundai also deploying similar quantities of GPUs for AI acceleration
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.The AI Megafactory represents a paradigm shift from traditional semiconductor manufacturing to an intelligent, interconnected production system. Samsung plans to integrate AI throughout its entire chip manufacturing workflow, creating what the company describes as "a single intelligent network" where artificial intelligence continuously analyzes, predicts, and optimizes production environments in real-time
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Source: SiliconANGLE
The facility will leverage Nvidia's Omniverse platform to create comprehensive digital twins of Samsung's fabrication plants and manufacturing equipment. These virtual replicas will enable the company to simulate factory operations, identify potential anomalies, perform predictive maintenance, and optimize production processes before implementing changes in the physical world
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.One of the most significant achievements of this collaboration involves the optimization of computational lithography processes. Samsung has successfully implemented AI-enhanced optical proximity correction (OPC), a critical step in ensuring wafer pattern accuracy. Early testing has demonstrated remarkable results, with the AI-powered system delivering a 20-fold improvement in computational lithography performance compared to traditional methods
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.Source: TechSpot
The partnership will also focus on advancing electronic design automation (EDA) tools through GPU acceleration. By integrating Nvidia's cuLitho and CUDA-X libraries, Samsung aims to revolutionize chip design efficiency and reduce development cycles significantly
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While the initial focus centers on semiconductor manufacturing, Samsung's vision extends far beyond chip production. The company plans to implement similar AI-driven automation across its broader manufacturing ecosystem, including facilities that produce Galaxy smartphones, kitchen appliances, and television sets. This comprehensive approach demonstrates Samsung's commitment to transforming its entire industrial operation through artificial intelligence
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.The robotics component of the partnership involves deploying Nvidia's RTX Pro 600 Blackwell Server Edition platform alongside the Jetson Thor robotic platform. These technologies will power more sophisticated factory robots capable of working with greater autonomy and precision alongside human workers, enhancing both productivity and workplace safety
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.This partnership significantly strengthens both companies' market positions. For Nvidia, the collaboration represents another major validation of its AI infrastructure capabilities and contributes to the company's recent achievement of becoming the first publicly traded company to reach a $5 trillion market capitalization. CEO Jensen Huang confirmed that partners have already placed $500 billion worth of GPU orders for both the current Blackwell and upcoming Rubin architectures
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.The relationship between Samsung and Nvidia spans over 25 years, evolving from Samsung's early supply of memory for Nvidia's graphics cards to the current joint development of next-generation HBM4 memory technology. Samsung serves as both a crucial customer and supplier for Nvidia, manufacturing the high-bandwidth memory essential for AI chip operations
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