NVIDIA and OpenAI Accelerate AI Inference with Blackwell and Optimized gpt-oss Models
The demand for sophisticated AI is surging,notably with the rise of advanced reasoning models like gpt-oss. To meet this growing need, NVIDIA and OpenAI are deepening thier collaboration, delivering significant advancements in AI inference performance and accessibility.This partnership leverages the power of NVIDIA Blackwell architecture and optimized open-source models, empowering developers and organizations to unlock the full potential of large language models (LLMs).
The Challenge: Scaling AI Inference
As models grow exponentially in size – measured in trillions of parameters – the computational resources required for inference increase dramatically. Simply put, running these powerful AI models efficiently and cost-effectively is a major hurdle. NVIDIA addresses this challenge with purpose-built AI infrastructure centered around the blackwell architecture. This architecture is specifically engineered to deliver the scale, efficiency, and return on investment necessary for high-performance AI inference.
Introducing NVIDIA Blackwell: A Leap in AI Performance
NVIDIA Blackwell introduces several key innovations designed to revolutionize AI inference:
NVFP4 Precision: This new 4-bit precision format dramatically reduces power consumption and memory requirements without sacrificing accuracy. This allows you to deploy trillion-parameter LLMs in real-time, opening up new possibilities for innovation.
Increased Throughput: Blackwell significantly boosts inference throughput, enabling faster response times and the ability to handle a greater volume of requests.
Optimized Architecture: The entire architecture is designed for AI workloads, maximizing performance and efficiency.
These advancements translate to billions of dollars in potential value for organizations looking to leverage the power of LLMs.
Open Development & Broad Accessibility
NVIDIA is committed to fostering a thriving AI ecosystem. The CUDA platform remains the cornerstone of this commitment, providing a widely available computing infrastructure. You can deploy and run AI models virtually anywhere:
NVIDIA DGX Cloud: Access powerful,scalable AI infrastructure on demand.
NVIDIA GeForce RTX & RTX PRO: Run models locally on your PC or workstation.
Broad Compatibility: NVIDIA’s open approach ensures compatibility across a wide range of hardware and software.
With over 450 million CUDA downloads, a massive community of developers now has access to these latest models, optimized for the NVIDIA technology stack they already know and trust.
Collaboration & Framework Support
NVIDIA and OpenAI are working closely with leading open-source framework providers to ensure seamless integration and optimal performance. Optimizations are available for:
FlashInfer
Hugging Face
llama.cpp
Ollama
vLLM
NVIDIA TensorRT-LLM
Other Libraries
This collaborative approach empowers you to build with the framework you prefer, maximizing adaptability and productivity.
A Long History of Innovation
This latest collaboration builds on a strong foundation of partnership between NVIDIA and OpenAI. It began in 2016 with NVIDIA delivering the first DGX-1 AI supercomputer to openai.
as then, the companies have consistently pushed the boundaries of AI, providing the core technologies and expertise needed for large-scale training and now, efficient inference. By optimizing OpenAI’s gpt-oss models for NVIDIA Blackwell and RTX gpus, NVIDIA is accelerating AI advancements for its 6.5 million developers across 250 countries.NVIDIA’s full-stack approach – encompassing hardware, software, and collaboration - is instrumental in bringing the world’s most ambitious AI projects to the broadest possible audience.Learn More:
NVIDIA Technical blog: Delivering 1.5M TPS Inference on NVIDIA GB200 NVSwitch
NVIDIA RTX AI Garage Blog Series
Get Started with gpt-oss Models
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