OpenAI has signed a landmark $10 billion deal with Cerebras to secure 750 megawatts of computing pow...
The AMW Read
This updates the OpenAI case study (§4) by signaling a massive ($10B) structural shift toward non-Nvidia silicon (cross.§H) to secure inference capacity (cross.§A) for reasoning models.
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OpenAI has signed a landmark $10 billion deal with Cerebras to secure 750 megawatts of computing power through 2028, specifically targeting faster inference for reasoning models. This strategic shift toward wafer-scale engines aims to eliminate GPU bottlenecks, delivering response speeds up to 3,000 tokens per second for complex tasks. By diversifying beyond Nvidia, OpenAI is securing the low-latency capacity essential for its 30GW scaling roadmap. This marks the world’s largest dedicated high-speed inference deployment. 🚀
