Wolfspeed Deploys Snowflake AI Data Cloud to Transform Manufacturing Operations

WOLF
February 12, 2026

Wolfspeed announced the deployment of Snowflake’s AI Data Cloud to accelerate manufacturing efficiency and operational excellence across its factory, supply‑chain, finance, and market‑analysis functions. The integration will enable real‑time AI agents, including WolfGPT, to predict issues, resolve problems faster, and make higher‑impact decisions at scale.

The announcement follows Wolfspeed’s Chapter 11 bankruptcy filing in September 2025 and its emergence with a restructured balance sheet. In Q2 FY2024 the company reported underutilization costs of $35.6 million, which pressured its non‑GAAP gross margin to 16.4 %. The new AI platform is intended to reduce such costs by optimizing production scheduling, predictive maintenance, and supply‑chain visibility, thereby improving margin performance.

Wolfspeed’s revenue mix is split between Materials and Devices segments. In Q2 FY2024, Materials revenue was $101 million and Devices revenue was $108 million. The AI initiative is expected to strengthen both segments by improving quality and reducing lead times, which are critical in the highly competitive silicon‑carbide market.

The silicon‑carbide market is intensely competitive, with Chinese vendors TanKeBlue and SICC gaining market share and STMicroelectronics leading the power‑device segment. By deploying AI across its operations, Wolfspeed aims to maintain its 33.7 % market share and defend against price pressure from these competitors.

"Manufacturing at this scale depends on making the right decisions faster, with confidence," said Priya Almelkar, Senior Vice President and Chief Information Officer. "Wolfspeed is showing what it looks like when AI moves out of experimentation and onto the factory floor," added 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," Gultekin continued. "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," Almelkar added.

The initiative signals Wolfspeed’s commitment to operational excellence in the post‑bankruptcy era and its strategy to restore profitability while supporting future growth in silicon‑carbide markets.

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