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NVIDIA HGX B200 Integration Revolutionizes AI Training with Together AI: A New Era of Speed and Efficiency



Discover how NVIDIA HGX B200 Integration Revolutionizes AI Training with Together AI: Learn more about this groundbreaking development, its implications for businesses and researchers, and how to harness its full potential. Read the full article now!

  • NVIDIA has made significant strides in enhancing its high-performance computing capabilities.
  • The company's HGX B200 platform has been integrated with Together AI, promising to transform the landscape of AI training.
  • NVIDIA has achieved a 90% increase in BF16 training speed compared to its H100 model.
  • Developers can now optimize their models for faster training times, leading to improved performance and accuracy.
  • The integration highlights NVIDIA's commitment to pushing the boundaries of high-performance computing.
  • Open-source collaboration has facilitated a collaborative environment that fosters growth and improvement in AI research.
  • NVIDIA offers a free test drive for Together GPU Clusters, allowing researchers to gain hands-on experience with the latest technologies.



  • NVIDIA, a pioneer in artificial intelligence (AI) technology, has recently made significant strides in enhancing its high-performance computing capabilities. The company's latest achievement, which involves the integration of its HGX B200 platform with Together AI, promises to transform the landscape of AI training. In this groundbreaking development, NVIDIA has successfully demonstrated a 90% increase in BF16 training speed compared to its H100 model, thanks to the Together Kernel Collection.

    This remarkable breakthrough showcases the collaboration between NVIDIA and Together AI, which enables developers to harness the full potential of their HGX B200 systems. By leveraging Together AI's expertise and resources, researchers can now optimize their models for faster training times, ultimately leading to improved performance and accuracy in various AI applications. The integration of these two entities is a testament to the power of collaboration in driving innovation.

    The integration also highlights NVIDIA's ongoing commitment to pushing the boundaries of high-performance computing. As AI continues to play an increasingly vital role in shaping our digital landscape, companies like NVIDIA are dedicated to developing cutting-edge technologies that meet the evolving demands of this rapidly growing field.

    In addition to its technical implications, this development has significant implications for businesses and researchers seeking to capitalize on the latest advancements in AI. By leveraging Together AI's expertise and resources, developers can accelerate their own research and development efforts, ultimately leading to improved performance and accuracy in various AI applications.

    Furthermore, this achievement underscores the importance of open-source collaboration in driving innovation. Together AI's commitment to sharing its knowledge and expertise with the broader community has facilitated a collaborative environment that fosters growth and improvement. This open-source approach not only promotes transparency but also encourages the development of new ideas and solutions, ultimately benefiting the wider AI research community.

    To further explore this exciting development, NVIDIA Blackwell Platform offers a free test drive for Together GPU Clusters, accelerated by NVIDIA B200 GPUs. By taking advantage of this opportunity, researchers can gain hands-on experience with the latest technologies and optimize their models for faster training times.

    In conclusion, the integration of NVIDIA HGX B200 with Together AI represents a significant milestone in the evolution of high-performance computing. This achievement not only highlights the capabilities of these cutting-edge systems but also underscores the importance of collaboration and open-source innovation in driving progress.



    Related Information:

  • https://www.together.ai/blog/nvidia-hgx-b200-with-together-kernel-collection


  • Published: Wed Feb 12 15:32:14 2025 by llama3.2 3B Q4_K_M











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