Dell has partnered with Samsung Electronics to build infrastructure to support the chipmaker’s AI-driven semiconductor manufacturing efforts.
Set to be deployed across Samsung’s research, design, and production critical systems, the partnership will see Dell provide “standardized building blocks for compute, storage, and data movement that support AI models and critical systems running simultaneously.”
No additional information about the exact solutions Dell will be providing to Samsung has been detailed, nor have the companies set out a timeline for when the infrastructure will be deployed.
The announcement was made at Dell Technology World, the company’s annual event currently taking place in Las Vegas. Speaking to the media ahead of the conference, Sam Grocott, SVP, product marketing, at Dell, said the infrastructure that will be provided to Samsung will power its digital twin and real-time analytics platform, and will support the agentic AI tools that monitor the company’s operations, helping it to catch anomalies and carry out process tuning automatically.
“As AI adoption accelerates, semiconductors are no longer just components—they are the foundation of global innovation,” said Dr. Yong-Ho Song, executive vice president, Samsung Electronics. “At Samsung, we are embedding AI across design, engineering, and production to move beyond automation toward intelligence. That shift requires infrastructure we can trust at scale, and our long-standing work with Dell Technologies supports the reliability and predictability this transformation demands.”
Richard McLaughlin, president, Asia Pacific, Japan and Greater China, Dell Technologies, added: “Semiconductors sit at the center of AI’s growth and manufacturing them at scale demands infrastructure built for consistency, resilience, and long-term evolution. Samsung is applying AI across the full semiconductor lifecycle, from design to production, and Dell Technologies brings decades of enterprise infrastructure expertise to deliver the stable foundation for AI-driven manufacturing.”
Comments