Intel Prepares Production Capacity for Nvidia’s Next-Gen AI Chips

• March 18, 2026

In the lead-up to the GTC 2026 conference, industry discussions have intensified around Intel’s potential role in the production process of Nvidia’s forthcoming artificial intelligence processors, codenamed Feynman. According to reports drawing from sources in Malaysia and Taiwan, Intel is preparing to leverage its manufacturing infrastructure in Malaysia to support Nvidia’s chip packaging needs.

Intel’s EMIB Technology and Manufacturing Readiness

Intel’s Embedded Multi-die Interconnect Bridge (EMIB) technology is viewed as a key enabler for advanced chip packaging that supports high-performance AI processors. Market intelligence indicates that Nvidia may turn to Intel’s EMIB expertise and production capabilities to assemble the Feynman generation of AI chips, a move that would mark an expansion of Intel’s role within the semiconductor supply chain beyond traditional chip fabrication.

The use of Intel’s facilities in Malaysia highlights the company’s strategic efforts to maximize global manufacturing resources amid growing demand for sophisticated AI hardware. This development signals increasing collaboration between major semiconductor players to meet the evolving requirements of artificial intelligence workloads.

While specific details regarding production volumes, timelines, or contractual arrangements have not been disclosed, this alliance could reflect a broader trend toward integrated semiconductor manufacturing ecosystems where packaging and assembly capabilities are shared among industry leaders.

Intel’s readiness to adapt its production lines for Nvidia’s cutting-edge AI chips underscores the dynamic nature of semiconductor manufacturing. As AI workloads continue to push hardware innovation, collaborations like this could be instrumental in accelerating the availability of next-generation AI technology.

Intel is reportedly gearing up its Malaysian facilities and EMIB tech to handle packaging for Nvidia’s upcoming Feynman AI processors.