Samsung and Nvidia Partner to Build AI Megafactory with 50,000 GPUs for Semiconductor Manufacturing

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.

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.

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.

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.

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.

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.

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.