Wolfspeed is expanding its deployment of Snowflake to boost manufacturing efficiency and operational excellence as it scales output to meet rising market demand. After consolidating factory, supply chain and enterprise data onto a single governed platform, Wolfspeed is now applying AI more broadly across the business to improve cost, quality, speed and workforce readiness—advancing its goal of operating as a fully AI-integrated manufacturing enterprise.

The company is embedding Snowflake Cortex AI into day-to-day decision-making by deploying intelligence, including specialized AI agents, across operations, supply chain, finance and market analysis. By connecting operational and enterprise systems, teams can work from a shared, real-time view of performance, supporting faster decisions, shorter manufacturing cycles and higher productivity from the factory floor to senior leadership.

Wolfspeed said the shift has enabled rollout of predictive and generative AI capabilities powered by Snowflake Intelligence and Cortex AI, including:

  • WolfGPT, Wolfspeed’s internal generative AI platform built on Snowflake Intelligence, designed to help teams analyze manufacturing performance, anticipate issues and accelerate training in complex fabrication environments;
  • multiple specialized AI agents across manufacturing, quality, supply chain, finance and corporate analytics to improve access to trusted data and institutional knowledge; and
  • improved decision-making during critical manufacturing events, reducing time spent reconciling data across tools and increasing time spent on analysis and action.

“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.”

Wolfspeed said the expanded Snowflake deployment strengthens its ability to run a predictive, data-driven operation that supports sustained growth, accelerates innovation and reinforces long-term competitiveness.

Original – Wolfspeed