As AI continues to evolve, the need for massive computational power has led to developing some of the world's largest GPU-based data centers. These centers are at the forefront of training large language models (LLMs) with trillions of parameters, pushing the boundaries of what AI can achieve.
In this session, leading AI cloud data centers will come together to share our experiences and insights from building and deploying these colossal systems. We'll delve into the unique challenges of networking at such a massive scale, and how we overcame them.
Attendees will gain a deep understanding of the lessons learned in scaling infrastructure to support the next generation of AI, from the complexities of connecting thousands of GPUs to the innovations required to maintain performance and reliability at such an unprecedented scale.