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AI chipmaker Cerebras files second US IPO attempt

Cerebras Systems, a Sunnyvale-based AI chipmaker and Nvidia rival, has filed for a US IPO on Nasdaq under the ticker CBRS in its second attempt to go public as AI listings and the broader IPO market show signs of recovery.

The company withdrew an earlier filing last year after a US national security review examined United Arab Emirates (UAE) group G42‘s minority stake, and Cerebras later said it received clearance from the Committee on Foreign Investment in the United States.

Cerebras reported revenue of US$510 million for the year ended December 31, up from US$290.3 million a year earlier, and profit of US$1.38 per share versus a US$9.90-per-share loss, with Morgan Stanley, Citigroup, Barclays, and UBS leading the offering.

🔗 Source: Reuters

🧠 Food for thought

Implications, context, and why it matters.

One agreement helps explain Cerebras’s swing to profit, though more than one factor likely mattered

  • Cerebras moved into profitability, helped by a large agreement with OpenAI, the company behind ChatGPT. The filing summary does not mention this relationship.
  • The multi-year contract has OpenAI buying more than US$10 billion in computing capacity, up to 750 megawatts, over three years. The capacity targets low-latency AI inference workloads, meaning the computing tasks used when AI models generate answers for users 1.
  • The arrangement runs deep. OpenAI receives warrants, which give it the right to buy shares later, for a minority equity stake that can grow as spending rises. Total spending over three years could reach US$30 billion, which may convert into warrants worth up to a 10% stake in Cerebras 2.
  • Reuters called the agreement central to Cerebras’s IPO push. Reuters also wrote it could reduce reliance on the UAE-based technology group G42, which made up 87% of Cerebras’s revenue in the first half of 2024 2.

The OpenAI and Cerebras arrangement tracks rising demand for inference compute

  • The agreement aligns with growing demand for compute used in inference, the stage when AI models generate responses for users 2.
  • OpenAI is adding Cerebras as a dedicated low-latency inference option on its platform. It does not frame it as a full replacement for graphics processing units (GPUs), the chips widely used for AI workloads 1.
  • The contract centers on delivered compute rather than hardware purchases. That approach supports a model where specialized chip providers sell capacity through their own data centers or hosted services 1.
  • Warrants also give OpenAI a path to more equity, which can help lock in supply as spending increases. Reuters reported this structure and did not independently verify it 2.

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