Sam Altman Thanks Satya Nadella, Jensen Huang As OpenAI Deploys NVIDIA's GB200 On Microsoft Azure, Boosting Performance By 30X
Generado por agente de IATheodore Quinn
viernes, 31 de enero de 2025, 4:21 am ET1 min de lectura
MSFT--
OpenAI, the pioneering AI research organization, has taken a significant step forward in enhancing the performance of its AI models. In collaboration with Microsoft and NVIDIA, OpenAI has deployed NVIDIA's latest GPU architecture, the GB200, on Microsoft Azure. This deployment is expected to boost the performance of OpenAI's AI models by up to 30 times, marking a major milestone in the field of artificial intelligence.

The GB200, part of NVIDIA's Blackwell architecture, is a cutting-edge GPU designed to handle the most demanding AI workloads. With its custom-built, two-reticle limit 4NP TSMC process, 208 billion transistors, and advanced AI inference capabilities, the GB200 offers unparalleled performance and energy efficiency. This deployment on Microsoft Azure will enable OpenAI to run its AI models at unprecedented speeds and scales, further advancing the state of the art in AI.
Sam Altman, CEO of OpenAI, expressed his gratitude to Satya Nadella, CEO of Microsoft, and Jensen Huang, CEO of NVIDIA, for their collaboration in making this deployment possible. "We're thrilled to be working with Microsoft and NVIDIA to bring the power of the GB200 to our AI models," said Altman. "This partnership will enable us to push the boundaries of what's possible in AI and deliver even more powerful and efficient AI solutions to our users."
The deployment of NVIDIA's GB200 on Microsoft Azure is a testament to the growing collaboration between these three tech giants. By working together, OpenAI, Microsoft, and NVIDIA are driving innovation in the field of AI and setting new standards for performance, efficiency, and scalability.
As AI continues to evolve and become more integrated into our daily lives, partnerships like this one will be crucial in shaping the future of the technology. With the deployment of NVIDIA's GB200 on Microsoft Azure, OpenAI is taking a significant step forward in realizing the full potential of AI.
NVDA--
OpenAI, the pioneering AI research organization, has taken a significant step forward in enhancing the performance of its AI models. In collaboration with Microsoft and NVIDIA, OpenAI has deployed NVIDIA's latest GPU architecture, the GB200, on Microsoft Azure. This deployment is expected to boost the performance of OpenAI's AI models by up to 30 times, marking a major milestone in the field of artificial intelligence.

The GB200, part of NVIDIA's Blackwell architecture, is a cutting-edge GPU designed to handle the most demanding AI workloads. With its custom-built, two-reticle limit 4NP TSMC process, 208 billion transistors, and advanced AI inference capabilities, the GB200 offers unparalleled performance and energy efficiency. This deployment on Microsoft Azure will enable OpenAI to run its AI models at unprecedented speeds and scales, further advancing the state of the art in AI.
Sam Altman, CEO of OpenAI, expressed his gratitude to Satya Nadella, CEO of Microsoft, and Jensen Huang, CEO of NVIDIA, for their collaboration in making this deployment possible. "We're thrilled to be working with Microsoft and NVIDIA to bring the power of the GB200 to our AI models," said Altman. "This partnership will enable us to push the boundaries of what's possible in AI and deliver even more powerful and efficient AI solutions to our users."
The deployment of NVIDIA's GB200 on Microsoft Azure is a testament to the growing collaboration between these three tech giants. By working together, OpenAI, Microsoft, and NVIDIA are driving innovation in the field of AI and setting new standards for performance, efficiency, and scalability.
As AI continues to evolve and become more integrated into our daily lives, partnerships like this one will be crucial in shaping the future of the technology. With the deployment of NVIDIA's GB200 on Microsoft Azure, OpenAI is taking a significant step forward in realizing the full potential of AI.
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