As AI Grows More Complex, Model Builders Rely on NVIDIA
Source: NVIDIA (opens in a new tab) · Ashraf Eassa
Intel Summary
In a corporate blog post, NVIDIA highlights that leading frontier artificial intelligence developers continue to train and deploy advanced foundation models on its hardware stack. The company notes that OpenAI utilized NVIDIA Hopper and GB200 NVL72 systems to train and run models including GPT-5.2 and GPT-5.3 Codex, reinforcing NVIDIA's central position as the primary compute provider for next-generation agentic and reasoning architectures.
Why It Matters
Frontier AI development remains tightly coupled to specialized GPU and networking hardware. OpenAI's deployment on GB200 NVL72 systems underscores NVIDIA's enduring dominance in high-performance AI infrastructure despite increasing competition from custom silicon and rival chipmakers, cementing high compute switching costs for major lab ecosystems.
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Primary sourceNVIDIA highlights OpenAI model training on GB200 NVL72 systems
In a corporate blog post, NVIDIA highlights that leading frontier artificial intelligence developers continue to train and deploy advanced foundation models on its hardware stack. The company notes that OpenAI utilized NVIDIA Hopper and GB200 NVL72 systems to train and run models including GPT-5.2 and GPT-5.3 Codex, reinforcing NVIDIA's central position as the primary compute provider for next-generation agentic and reasoning architectures. Claims are as reported; this summary makes no determination about accuracy or significance.
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