Generative Data Intelligence

The maximizing effect

Date:

Webinar There are conflicting and competing emotions surrounding the evolution of generative AI. The genie is out of the bottle.

Whether you are in awe of it, excited by it or possibly apprehensive, AI has enormous potential for your business. And the one thing that no one can probably afford to do, is to sit on the fence. While the possibilities for new use cases and applications are seemingly endless, at the same time generative AI relies on the availability of powerful, scalable compute resources. And that poses a technological challenge which is perhaps unlike anything you have faced before.

Consider efficient end-to-end integration and full-stack optimization of datacenter infrastructure, for example, two topics up for discussion in our latest Regcast scheduled for 21 June at 5pm BST/12pm EDT/9am PDT. Two experts in the field – NVIDIA’s Premla Savla and DDN’s Dr. James Coomer – have over three years’ experience collaborating together on the very largest NVIDIA DGX SuperPOD high performance compute (HPC) platforms in the world.

They’ll tell you how NVIDIA’s Accelerated Computing uses parallel processing to speed up your most demanding applications, and how DDN’s Parallel Data Architecture and new QLC Flash solutions drive AI acceleration while maintaining efficiency at any scale. The combination of which should ensure the success of your AI strategy while reducing the complexity involved in its implementation.

Sign up for our ‘Maximizing Efficiency for Generative AI‘ webinar here and we’ll send you a reminder when it’s time to watch.

Sponsored by DDN.

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