Broadcom reportedly won't build OpenAI's custom chip unless Microsoft buys 40 percent of them
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Broadcom reportedly won't build OpenAI's custom chip unless Microsoft buys 40 percent of them

May 9, 202618 views2 min read

Broadcom is demanding that Microsoft purchase 40% of OpenAI's custom AI chips before production begins, a move that OpenAI's leadership has deemed financially unattractive.

OpenAI's ambitious plan to develop a custom AI chip in partnership with semiconductor giant Broadcom has encountered a significant hurdle, as the company demands that Microsoft commit to purchasing 40% of the chips before production begins. This requirement has sparked internal debate within OpenAI, with senior manager Sachin Katti calling the arrangement "financially unattractive" in an internal message, highlighting the strategic and financial challenges of the deal.

The chip project, which is part of OpenAI's broader effort to accelerate AI model training and deployment, is estimated to cost an staggering $18 billion in its initial phase. Broadcom, known for its advanced chip designs, has positioned itself as a key player in the AI hardware landscape. However, the condition set by Broadcom—requiring Microsoft to secure a majority stake—could delay or even derail the project, depending on whether Microsoft agrees to the terms.

This development underscores the complex financial and strategic dynamics at play in the AI industry. As companies like OpenAI, Microsoft, and Broadcom vie for dominance in AI hardware and software, such dependencies reveal the high stakes involved in securing the necessary resources and partnerships. The situation also raises questions about how OpenAI will proceed without Microsoft's commitment, potentially forcing a reevaluation of its chip strategy and long-term roadmap.

With AI chips becoming critical infrastructure for next-generation AI systems, the standoff between Broadcom and OpenAI may serve as a pivotal moment in how the industry approaches hardware development and commercial partnerships. The outcome could influence future collaborations and set a precedent for how large-scale AI projects are funded and executed.

Source: The Decoder

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