Wolfspeed Expands AI Use to Boost Manufacturing Efficiency

Wolfspeed, a global leader in silicon carbide technology, is expanding its use of Snowflake to accelerate manufacturing efficiency and operational excellence as it scales production to meet growing market demand. After bringing together factory, supply chain, and enterprise data on a single, governed platform, Wolfspeed is now deploying AI across its operations to improve cost, quality, speed, and workforce readiness. This marks a major step in Wolfspeed's vision to operate as a fully AI-integrated manufacturing enterprise.

Wolfspeed is embedding Snowflake Cortex AI directly into day-to-day manufacturing and business decisions by applying intelligence — including specialised AI agents — across operations, supply chain, finance, and market analysis. By breaking down silos between operational and enterprise systems, teams gain a shared, real-time view of performance across the business. This foundation enables faster decisions, more efficient manufacturing cycles, and improved productivity from the factory floor to the executive suite.

This transformation has enabled the rollout of predictive and generative AI agents powered by Snowflake Intelligence and Cortex AI, including:

• WolfGPT, Wolfspeed’s internal generative AI platform built on Snowflake Intelligence, which helps teams analyse manufacturing performance, predict issues before they occur, and accelerate training in complex chip fabrication environments.
• dozens of specialised AI agents deployed across manufacturing, quality, supply chain, finance, and corporate analytics, enabling faster access to trusted data and institutional knowledge; and
• improved decision making during critical manufacturing events, enabling teams to spend more time on analysis and action and less time reconciling data across tools.

"Manufacturing at this scale depends on making the right decisions faster, with confidence,” said Priya Almelkar, senior vice president and chief information officer at Wolfspeed. “By applying AI across our operations, we’re giving teams better visibility into what’s happening on the factory floor and across the business so they can act earlier, work more safely, and deliver higher-quality outcomes. Ultimately, this helps us bring even greater value to our customers.”

“Wolfspeed is showing what it looks like when AI moves out of experimentation and onto the factory floor,” said Baris Gultekin, vice president of AI at Snowflake. “By unifying their manufacturing, supply chain, and enterprise data on Snowflake, Wolfspeed has built a trusted foundation where AI agents can operate in real time to help teams predict issues, resolve problems faster, and make higher-impact decisions at scale. This is exactly how enterprises turn AI into a competitive advantage, and we’re proud to support Wolfspeed as they redefine what AI-driven manufacturing looks like.”

This transformation positions Wolfspeed at the forefront of semiconductor innovation, using AI not only to improve operations but also to create a predictive, data-driven ecosystem that accelerates innovation and strengthens long-term competitiveness. Together with Snowflake, Wolfspeed is building the foundation for a smarter, more agile future where data and AI power sustainable growth and market leadership.