MediaTek and Nvidia to develop AI PC processor based on Arm Architecture

MediaTek and Nvidia plan to collaborate on an AI PC processor based on ARM architecture.

: Taiwanese chip maker MediaTek is reportedly joining forces with Nvidia to develop an AI PC processor using ARM architecture. The collaboration aims to complete the chip's tape-out by the third quarter of 2024, with the product potentially costing around $300. Nvidia CEO to discuss the partnership in Taiwan, while ARM itself is also venturing into AI chip development.

Taiwan's MediaTek and American semiconductor leader Nvidia are rumored to be in collaboration to bring a new AI PC processor to market, leveraging ARM's architecture— a move signaling a significant push into the AI domain for the two technology giants. Reports from Economic Daily News suggest that the tape-out of the new chip is targeted for the third quarter of 2024, with a unit price that could reach as high as $300. This collaboration not only aims to merge the advanced computing and graphics capabilities of Nvidia with MediaTek's expertise in mobile and embedded chip design but also to challenge the current market norms by proposing an ARM-based solution for AI applications on PCs.

Nvidia CEO Jensen Huang's planned visit to Taiwan for the COMPUTEX event and the anticipated announcement about the MediaTek-Nvidia partnership could mark a pivotal point for both companies in affirming their positions in the AI market. It's also a critical moment for ARM, demonstrating the growing adoption of its architecture beyond mobile devices into more powerful computing platforms. This initiative may pave the way for a new era of AI-driven applications and devices, pushing boundaries in processing efficiency and performance.

Moreover, ARM's own ambitions in the AI chip market, with plans to unveil a prototype AI chip and create an AI chip division next spring, further underline the industry's swift move towards specialized AI computing hardware. This evolving landscape showcases a clear trend: the future of computing is highly reliant on AI capabilities, with major semiconductor players and architecture providers aligning their strategies to capture this burgeoning market.