OpenAI Explores In-House Production of AI Chips Amid Global Shortage

In the wake of a global shortage of advanced AI chips, OpenAI, the organization behind the renowned AI model ChatGPT, is reportedly considering the production of these chips in-house. This strategic move could potentially reshape the AI industry’s landscape and OpenAI’s position within it.

Key Highlights:

  • OpenAI is contemplating in-house production of AI chips to address the shortage.
  • The company is also considering potential acquisitions in the chip industry.
  • Microsoft, a primary supporter of OpenAI, is deeply involved in custom AI chip development.
  • The scarcity of advanced AI chips has caused operational bottlenecks for OpenAI.
  • OpenAI’s reliance on NVIDIA GPUs, which dominate the AI-specific GPU market, poses challenges.

A Strategic Shift in OpenAI’s Approach:

OpenAI’s exploration into the possibility of in-house chip production signifies a notable shift in its strategy. The organization is not only looking at producing these chips internally but is also considering potential acquisitions in the chip-making sector. This move comes as a response to the increasing scarcity of AI chips on a global scale, which serve as the computational foundation for AI models like ChatGPT.

The Dominance of NVIDIA:

One of the primary challenges OpenAI faces is NVIDIA’s overwhelming dominance in the GPU market, especially GPUs tailored for AI applications. With NVIDIA holding over 80% of the global market share, OpenAI’s heavy reliance on NVIDIA GPUs for its AI projects becomes a significant hurdle. This dependence has prompted OpenAI to explore various solutions, from building its custom AI chips to establishing closer collaborations with chip manufacturers like NVIDIA.

The Financial Implications:

The high costs associated with running the hardware required for OpenAI’s ambitious projects, especially ChatGPT, cannot be overlooked. Developed on a massive supercomputer built by Microsoft and powered by thousands of NVIDIA GPUs, each ChatGPT query is estimated to cost around 4 cents. This places a considerable financial strain on OpenAI.

The Road Ahead:

While OpenAI’s exploration into in-house chip production and potential acquisitions is noteworthy, it’s essential to understand that any definitive decision in this direction will likely take several years to implement. In the interim, OpenAI will probably continue to rely on commercial providers like NVIDIA and Advanced Micro Devices for its immediate chip requirements.


OpenAI’s consideration of in-house AI chip production marks a significant strategic shift for the organization. Driven by the global shortage of advanced AI chips and the challenges posed by NVIDIA’s market dominance, OpenAI is exploring various avenues to ensure a steady supply of these crucial components. While the final decision is still pending, the implications of this move, both for OpenAI and the broader AI industry, are profound.