Webinar

Optimizing Data Architecture for Generative AI

The key to unlocking the full potential of your data architecture for generative AI models lies in making efficient use of high-quality, diverse training data. Overcoming challenges in data acquisition, storage, and processing is vital. As models and data grow, costs and complexity rise, impacting startups’ focus on innovation, personalization, automation, efficiency, and entertainment.

Join experts from Nvidia, Run:ai and WEKA and learn how you can:

  • Maximize GPU utilization in on-premises, cloud, and hybrid environments
  • Simplify orchestration and acceleration for Al Workloads
  • Manage your data and storage intelligently and effectively
  • Optimize your infrastructure for generative AI and reduce costs
Watch On-Demand

The key to unlocking the full potential of your data architecture for generative AI models lies in making efficient use of high-quality, diverse training data. Overcoming challenges in data acquisition, storage, and processing is vital. As models and data grow, costs and complexity rise, impacting startups’ focus on innovation, personalization, automation, efficiency, and entertainment.

Join experts from Nvidia, Run:ai and WEKA and learn how you can:

  • Maximize GPU utilization in on-premises, cloud, and hybrid environments
  • Simplify orchestration and acceleration for Al Workloads
  • Manage your data and storage intelligently and effectively
  • Optimize your infrastructure for generative AI and reduce costs

Speakers

  • Speakers

    David Boyd

    European Alliances Manager, Storage Partners
    NVIDIA

  • Speakers

    Gijsbert Janssen van Doorn

    Director Product Marketing
    Run:AI

  • Speakers

    Derek Burke

    Regional Sales Manager
    WEKA

  • Speakers

    Steve Knight

    Director, EMEA Marketing
    WEKA