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Behind the scenes of AI, things are becoming more and more complicated. A few years ago, GPT-3 was the state-of-the-art model with 175 billion parameters. And as of today, the leading model uses 1.8 trillion parameters – emphasizing the continually increasing potential and demands of AI.
So how can you meet new requirements while optimizing performance and scalability?
In this webcast, you’ll gain expert insights into a blueprint for LLM cluster architecture that is designed to scale even to the largest deployments. It includes case studies to demonstrate how it can help you get the most out of your rack scale deployments.
Tune in now to discover how you can overcome the unique challenges of LLM training.