Samsung is one of the few companies in the world that are largely self-reliant. The company makes a lot of components in-house. We’re talking about memory chips and semiconductors. They even have factories to help others make semiconductors. Now, Samsung is taking things to the next level by building an AI megafactory with the help of NVIDIA.
Meet Samsung’s AI megafactory
The facility will deploy more than 50,000 NVIDIA GPUs across Samsung’s manufacturing operations. It will also embed AI into every step of the process. This includes semiconductor design, processing, equipment operation, and quality control. The goal here is to make chip production faster, smarter, and more efficient through real-time analysis and optimization.
The Samsung AI megafactory will use NVIDIA’s Omniverse platform to create digital twins of its facilities. For those unfamiliar with the concept of digital twins, these are essentially virtual replicas of physical fabs. By creating a virtual replica, Samsung can simulate and test changes before implementing them in real life. This helps with predictive maintenance, spotting problems early, and planning operations more effectively.
Samsung is also working with NVIDIA on GPU-accelerated chip design tools alongside partners like Synopsys and Cadence. These tools speed up the design process significantly, with computational lithography performance getting a 20x boost using NVIDIA’s cuLitho library. Shorter development cycles mean better chips reaching the market faster.
Going beyond chips
The partnership extends beyond semiconductor manufacturing. Samsung will use NVIDIA’s RTX PRO 6000 Blackwell Server GPUs to power intelligent robotics in mobile device production. This will help to enable real-time AI reasoning and automate task execution.
Both companies are also advancing AI-RAN technology, which integrates AI into mobile networks. This is crucial for the next generation of AI-powered robots, drones, and industrial machinery that need real-time processing at the network edge.
While Samsung doesn’t have the same reputation when it comes to semiconductors compared to TSMC, leveraging the use of AI to make its manufacturing process smarter and more efficient could help. The company has typically struggled with its yields. This has resulted in companies like Qualcomm turning to TSMC for its chip production. Perhaps with the use of AI, Samsung might finally be able to turn things around.
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