OpenAI and Broadcom Unveil ‘Jalapeño’ AI Chip to Reduce Reliance on Nvidia

The maker of ChatGPT plans to use enough chips to consume 10 gigawatts of electricity, an amount that could power millions of households.

1. OpenAI reaches a key hardware milestone

o OpenAI and Broadcom have unveiled the design of their first custom AI chip, named Jalapeño.

2. Part of OpenAI’s chip strategy

o The chip initiative follows an October 2025 partnership aimed at developing specialized processors optimized for running AI models such as ChatGPT.

3. Designed for AI inference

o Jalapeño is intended primarily for executing AI workloads and delivering AI services to businesses and consumers, rather than training models from scratch.

4. Reducing dependence on external suppliers

o By developing proprietary chips, OpenAI aims to reduce its reliance on dominant AI chip providers such as Nvidia and AMD.

5. Enhances bargaining power

o Owning custom hardware gives OpenAI greater leverage in negotiations with major semiconductor suppliers and cloud infrastructure partners.

6. Massive future deployment plans

o OpenAI has stated that it ultimately plans to deploy enough custom chips to consume 10 gigawatts of electricity, comparable to the power needs of millions of households.

7. Part of a broader AI infrastructure push

o OpenAI is simultaneously working with multiple chip providers, including:

§ Nvidia

§ AMD

§ Cerebras Systems

8. Rapid chip development

o OpenAI and Broadcom completed the chip design in just nine months, an unusually fast timeline for semiconductor development.

9. Testing shows promising performance

o According to OpenAI hardware chief Richard Ho, early testing indicates the chip performs close to its theoretical efficiency limits.

10. Data-center expansion underway

o OpenAI is building extensive AI infrastructure, including its first major data-center facility in Abilene.

11. Global expansion plans

o Additional AI data centers are planned across:

§ The United States

§ Europe

§ The Middle East

12. Part of an industry-wide investment boom

o Major technology firms are collectively investing enormous sums in AI infrastructure.

o Amazon, Google, Microsoft, and Meta are expected to spend roughly $700 billion on data centers in 2026.

13. Growing challenge to Nvidia’s dominance

o Nvidia currently dominates AI computing hardware, but competitors are increasingly developing alternative chips to reduce dependence on a single supplier.

14. Google pursuing a similar strategy

o Google also collaborates with Broadcom to design custom AI accelerators, reflecting a wider industry trend toward in-house chip development.

15. Commercial rollout timeline unclear

o OpenAI has not yet announced when Jalapeño chips will be deployed at scale, and additional testing and revisions may be required before mass adoption.

Why This Matters

· Marks OpenAI’s transition from being primarily a software company to becoming a significant AI infrastructure player.

· Reduces supply-chain risks associated with dependence on Nvidia.

· Intensifies competition in the AI semiconductor market.

· Supports the scaling of future AI models by lowering computing costs and improving efficiency.

· Highlights the growing convergence of AI, semiconductors, energy, and data-center infrastructure.

Key Takeaway

The unveiling of Jalapeño represents a major step in OpenAI’s effort to control more of its AI technology stack. By developing custom chips with Broadcom, OpenAI aims to secure computing capacity, lower costs, and reduce dependence on Nvidia as the global race to build AI infrastructure accelerates.

[ABS News Service/25.06.2026]

In October, the artificial intelligence start-up OpenAI said it would work with the chip maker Broadcom to build custom computer chips suited to running A.I. technologies like its chatbot, ChatGPT.

On Wednesday (24.06.2026), the two companies unveiled the design of their first chip, called Jalapeño, reaching a milestone in OpenAI’s efforts to install the technology in data centers to power A.I. across the globe.

OpenAI has said it plans to eventually use enough of these custom chips to consume 10 gigawatts of electricity, an amount that could power millions of households.

In addition to the company’s collaboration with Broadcom, OpenAI has signed deals with the chip makers Nvidia and AMD and the start-up Cerebras.

OpenAI is among many tech companies that are spending hundreds of billions of dollars on the construction of data centers for A.I. Amazon, Google, Microsoft and Meta have said they plan to spend roughly $700 billion on data centers this year alone.

OpenAI is already building its first facility in Abilene, Texas. It plans to build additional data centers in other parts of the United States, in Europe and in the Middle East.

Nvidia, the world’s most valuable publicly traded company, dominates the market for chips used to power A.I. technologies like ChatGPT. But many companies are now designing chips that aim to challenge its dominance, including tech giants like Google and Amazon, venerable chip makers like AMD and start-ups like Cerebras.

By designing its own chips, OpenAI can reduce its dependence on Nvidia and AMD and gain more leverage as it negotiates agreements with those companies. Google also works with Broadcom in designing its A.I. chips.

The Jalapeño chip is designed to run A.I. technologies and deliver them to businesses and consumers. OpenAI uses other chips that are capable of analyzing enormous amounts of data to build its A.I. technologies.

“Based on early testing, Jalapeño will efficiently execute our most important workloads close to the hardware’s theoretical limits,” Richard Ho, who leads OpenAI’s hardware efforts, said in a statement.

OpenAI and Broadcom said they had completed the design of the chip in just nine months, an unusually short time for a new chip. But because chip design is so complicated, even experienced chip makers often build several versions of a chip before being able to use it more widely.

The company did not provide more information on when the chips might be rolled out.