A wave of innovation and new challenges is at hand for today's technology leaders racing to scale generative AI capabilities. While large language models (LLMs) have been growing larger and more complex, there is a more recent shift toward smaller, more efficient models with far fewer parameters. The types of content that GenAI models can process and create are evolving as well and now include advanced videos, images, audio and text. The pace of these advancements raises concerns with efficiency, speed, data security and sustainability.

In this white paper, we will explore how the industry is overcoming these key GenAI challenges.