Samsung Electronics is partnering with French AI company Mistral AI to develop customized AI models for semiconductor design, engineering and manufacturing, extending the use of AI from chip development into the factory itself.
The partnership, announced during a South Korea-France summit in Paris, will bring Mistral’s AI services and models into Samsung’s semiconductor operations. Samsung plans to use Mistral’s models, including Mistral Large, to develop customized, on-premises AI systems for its Device Solutions division.
The companies will also work on an AI platform and management system designed specifically for semiconductor operations. A key part of the deal is how the AI will be deployed. Samsung plans to run the models on its own infrastructure rather than sending sensitive semiconductor information to an outside cloud.
That could be particularly important for chipmakers operating increasingly AI-driven factories, where design information, manufacturing processes and factory data can be highly sensitive. Mistral’s approach allows companies to keep control of their data, models, computing resources and operating environment.
For IT leaders, the deployment provides a high-stakes test of whether on-premises AI can improve sensitive industrial operations while giving companies control over their data, infrastructure and security.
Samsung said it plans to apply the technology to rapid fab-data analysis, defect detection and equipment optimization. The effort is expected to cover Samsung’s memory, logic and foundry businesses.
“The increasing complexity involved in AI chip design and manufacturing requires continuous innovation in semiconductor technologies,” said Young Hyun Jun, vice chairman and CEO of Samsung Electronics’ Device Solutions division, according to The Korea Herald. “We look forward to working with Mistral and supporting the evolving needs of customers, while delivering new breakthroughs across the semiconductor ecosystem essential to the AI era.”
AI moves onto the factory floor
The practical goal is to use AI to spot problems earlier and make semiconductor production more efficient.
Semiconductor fabrication involves numerous interconnected production steps, with equipment settings and process conditions affecting the number of usable chips produced from each wafer. Samsung wants customized AI models to analyze that data and help identify defects or optimize processes faster.
As manufacturing becomes more difficult at advanced process nodes, even small improvements in yield can have a meaningful effect on production economics. The partnership therefore puts AI in a role that goes beyond office productivity or software development: helping determine how physical chips are made.
Samsung also backs Mistral financially
The operational partnership follows earlier reports that Samsung was considering a major investment in Mistral AI. Samsung ultimately led Mistral’s €3 billion Series D round, which valued the French company at more than €21 billion, although Samsung has not disclosed the size of its individual investment. The investment gives Samsung a financial stake in the company providing technology for its semiconductor AI initiative.
What this could mean for Samsung
Samsung’s approach could offer a model for organizations that want to apply AI to sensitive industrial operations without sending proprietary information to an external cloud. However, running models on-premises still requires companies to secure the infrastructure, govern access to operational data and validate AI recommendations before using them in production.
Samsung and Mistral have announced intended applications rather than measurable results. Neither company has disclosed a deployment schedule, technical benchmarks or expected yield improvements, so the project’s value will depend on whether it can outperform Samsung’s existing defect-detection and equipment-management systems.
Mistral CEO Arthur Mensch said, “AI is reshaping how we build complex technologies, from silicon to software,” according to Samsung’s announcement. “We are proud to support Samsung Electronics with our expertise in electronics and semiconductors, helping to improve how chips are designed and manufactured, and to accelerate technical progress across the global semiconductor and AI value chain.”