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Breakthroughs in AI Innovation: NVIDIA Accelerates OpenAI's Groundbreaking Open-Weight Models on RTX GPUs



NVIDIA has announced a groundbreaking collaboration with OpenAI, optimizing the company's open-source gpt-oss models for use on GeForce RTX and RTX PRO GPUs. The optimized performance of these models promises to accelerate AI applications at unprecedented speeds while providing users with unparalleled versatility through its flexible model architecture.



  • NVIDIA has optimized OpenAI's gpt-oss models for use on its GeForce RTX and RTX PRO GPUs, accelerating inference from cloud to PC.
  • The new open-weight models are "smart" and "fast", enabling seamless integration into various applications and a more intuitive user experience.
  • OpenAI's gpt-oss models support features like instruction-following and tool use, making them ideal for tasks such as web search and coding assistance.
  • The deployment of these models on NVIDIA GPUs is compatible with various tools and frameworks, including Ollama, Microsoft AI Foundry Local, and NVIDIA's llama.cpp library.
  • Both gpt-oss-20b and gpt-oss-120b have been optimized for use on NVIDIA GeForce RTX 5090 GPUs, delivering performance levels of up to 256 tokens per second.
  • The models support context lengths up to 131,072 tokens, making them suitable for deep reasoning capabilities.



  • NVIDIA has taken another giant leap forward in its journey to revolutionize the world of Artificial Intelligence (AI) with the latest collaboration between the tech giant and the renowned research organization, OpenAI. Building upon their successful partnership, NVIDIA has now optimized the company's groundbreaking open-source gpt-oss models for use on its powerful GeForce RTX and RTX PRO GPUs. This cutting-edge development marks a significant milestone in the ongoing quest to enhance AI capabilities and push the boundaries of what is possible with these revolutionary technologies.

    According to NVIDIA, these new open-weight models have been engineered with the aim of accelerating inference from cloud to PC. The company's assertion that these models are "smart" and "fast" highlights the potential for seamless integration into various applications, paving the way for a more intuitive user experience. Moreover, the optimized performance of these models on NVIDIA GPUs ensures that users can tap into their full capabilities without any compromise in terms of speed or efficiency.

    OpenAI's gpt-oss models have garnered widespread attention due to their ability to support features like instruction-following and tool use, making them ideal for tasks such as web search, coding assistance, document comprehension, and in-depth research. The flexible nature of these models allows developers to adjust the reasoning effort levels using a popular architecture known as mixture-of-experts. Furthermore, the introduction of chain-of-thought capabilities equips users with a deeper understanding of how the model is reasoning through complex problems.

    The deployment of these open-weight models on NVIDIA GPUs comes at an exciting time for AI enthusiasts and developers alike. With their compatibility with various tools and frameworks, including Ollama, Microsoft AI Foundry Local, and NVIDIA's llama.cpp library, users can now explore a wide range of applications and integrate these cutting-edge models into their existing workflows. This comprehensive support network ensures that users are not restricted by their hardware capabilities but instead empowered to push the boundaries of what is possible with AI.

    Notably, both gpt-oss-20b and gpt-oss-120b have been optimized for use on NVIDIA GeForce RTX 5090 GPUs, delivering performance levels of up to 256 tokens per second. This benchmark serves as a testament to the power of NVIDIA's cutting-edge technology and its ability to accelerate AI applications at unprecedented speeds.

    Annamalai Chockalingam, author of this article, states that "OpenAI showed the world what could be built on NVIDIA AI — and now they're advancing innovation in open-source software." This assertion underscores the importance of collaboration between industry leaders and highlights the potential for breakthroughs when diverse expertise comes together. Moreover, it underscores NVIDIA's position as a leader in the realm of AI computing from training to inference and from cloud to AI PC.

    In addition to their compatibility with various frameworks and tools, both models are designed to support features such as context lengths up to 131,072 tokens, representing one of the longest available in local inference. This feature lends these models unparalleled versatility, making them suitable for a wide range of applications that require deep reasoning capabilities.

    As an exciting development in the ongoing quest for innovation in AI, NVIDIA's collaboration with OpenAI has opened up new avenues for research and development. The release of gpt-oss models on RTX GPUs marks another significant milestone in this journey, underscoring NVIDIA's position as a leader in the field of AI computing.

    The latest news also highlights NVIDIA's ongoing efforts to empower enthusiasts and developers through the launch of various tools and frameworks that facilitate seamless integration with these cutting-edge models. Ollama, a popular application among AI enthusiasts, has been optimized for use on RTX GPUs and now offers support for OpenAI's open-weight models. The user-friendly interface of Ollama provides users with an intuitive experience, while the app's software development kit (SDK) and command line interface enable developers to tailor their applications and workflows to meet specific needs.

    In conclusion, NVIDIA's latest collaboration with OpenAI has marked a significant breakthrough in AI innovation. By optimizing gpt-oss models for use on GeForce RTX and RTX PRO GPUs, NVIDIA has delivered cutting-edge technology that can accelerate AI applications at unprecedented speeds while providing users with unparalleled versatility through its flexible model architecture. The comprehensive support network surrounding these new open-weight models ensures that developers are empowered to push the boundaries of what is possible with AI.

    Overall performance of the gpt-oss-20b model on various RTX AI PCs.



    Related Information:
  • https://www.digitaleventhorizon.com/articles/Breakthroughs-in-AI-Innovation-NVIDIA-Accelerates-OpenAIs-Groundbreaking-Open-Weight-Models-on-RTX-GPUs-deh.shtml

  • https://blogs.nvidia.com/blog/rtx-ai-garage-openai-oss/


  • Published: Tue Aug 5 15:16:17 2025 by llama3.2 3B Q4_K_M











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