OpenAI and Broadcom: a new chip for the AI | Cpu hardware examples | Cpu hardware list and their functions | 10 parts of computer | Turtles AI

Openai has started a collaboration with Broadcom to develop a specialized chip for the AI ​​inference. The production will take place at TSMC starting from 2026, while the company aims to diversify its supply chain to reduce costs.

Key points:

• OpenAI collaborates with Broadcom for a chip to dedicated to inference.
• Production expected at TSMC starting from 2026.
• The company explores external partnerships and diversification of the supply.
• An internal team of experts, with previous experiences in Google, guides the project.

OpenAI, renowned for her innovations in the field of AI, has made official a strategic partnership with Broadcom for the creation of a chip dedicated to inference AI. This development represents a significant step towards optimization of performance and costs related to data processing. In support of this initiative, OpenAI has guaranteed production capacity at TSMC, the well -known Taiwan semiconductor manufacturer, and plans to start the production of these chips starting from 2026. Initially, the company had considered the option to build systems of Interior production, but subsequently decided to suspend these plans due to the high cost and the long associated realization times. With a proactive approach, OpenAI also began to integrate AMD and Nvidia chips into its work flows, aiming for a more flexible management of its supply chain. Interior sources indicate that the company is currently evaluating different aspects of the chip design and is considering the inclusion of further external partners to ensure a more robust and diversified supply. A dedicated team, made up of about 20 experts, including prominent names such as Thomas Norrie and Richard I have, with previous experiences in the TPU sector at Google, was formed to guide this ambitious project. The combination of internal skills and strategic alliances reflects OpenAI’s commitment to innovation and efficiency in the production of advanced technologies for AI.

In a constantly evolving context, the company continues to explore opportunities that can help optimize its operations and position it as a leader in the sector.