NVIDIA’s AI GPUs Used To Train OpenAI’s GPT-5.2, Blackwell & Blackwell Ultra Continue To Blaze Ahead With Better Performance & Value

OpenAI has introduced its new GPT-5.2 model, which was trained and deployed on NVIDIA's AI GPUs, including Blackwell & Hopper .

Today, OpenAI introduced its next GPT model, , which it calls the most advanced frontier AI model. With this model, OpenAI claims that Enterprise users will save 40-60 minutes a day, and intensive users will be able to save more than 10 hours a week.

GPT‑5.2 Thinking GPT‑5.1 Thinking
GDPval (wins or ties) Knowledge work tasks 70.9%38.8% (GPT‑5)
SWE-Bench Pro (public) Software engineering 55.6%50.8%
SWE-bench Verified Software engineering 80.0%76.3%
GPQA Diamond (no tools) Science questions 92.4%88.1%
CharXiv Reasoning (w/ Python) Scientific figure questions 88.7%80.3%
AIME 2025 (no tools) Competition math 100.0%94.0%
FrontierMath (Tier 1–3) Advanced mathematics 40.3%31.0%
FrontierMath (Tier 4) Advanced mathematics 14.6%12.5%
ARC-AGI-1 (Verified) Abstract reasoning 86.2%72.8%
ARC-AGI-2 (Verified) Abstract reasoning 52.9%17.6%

GPT‑5.2 was built in collaboration with our long-standing partners NVIDIA and Microsoft. Azure data centers and NVIDIA GPUs, including H100, H200, and GB200-NVL72, underpin OpenAI’s at-scale training infrastructure, driving significant gains in model intelligence. Together, this collaboration allows us to scale compute with confidence and bring new models to market more quickly.

Powering OpenAI's GPT-5.2 is NVIDIA's AI infrastructure, which includes both its Hopper and Blackwell AI GPU architectures. GPT-5.2 was not only trained but also deployed on these chips & the story does not end there. NVIDIA's Blackwell GPUs are the state-of-the-art AI chips, and they continue to get even better.

With its NVFP4 precision model and the latest optimizations, NVIDIA's Blackwell GPUs are now seeing an impressive 45% gain on the GB200 NVL72 platform in . The Blackwell Ultra platforms sit at 1.9x faster than GB200 NVL72 and up to 4.2x faster than the Hopper H100 solutions. The benchmarks were conducted on Llama 3.1 405B "Training" with a 512-GPU scale.

Not only is NVIDIA achieving faster performance, but also delivering better value. The Blackwell GB200 NVL72 platform is able to offer 90% better training performance per dollar value versus the older H100 solution. And all of that comes with a 3.2x boost in overall training performance.

Compared with the NVIDIA Hopper architecture, NVIDIA GB200 NVL72 systems delivered 3x faster training performance on . And NVIDIA GB300 NVL72 delivers a compared with NVIDIA Hopper.

As of right now, NVIDIA's Blackwell and Blackwell Ultra GPUs are widely available across leading cloud service providers, neo-clouds, and server makers. Blackwell Ultra is now rolling out from both server makers and cloud service providers, while Blackwell instances are available through major cloud service providers.

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