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AI Infrastructure: How To Support The Fastest-Growing Workload On The Planet

August 28, 2018


Artificial intelligence (AI) workloads have an insatiable appetite for silicon. They are math-heavy and tend to run hot. These are the workloads that will turn 20th-century enterprises into 21st-century enterprises powered by AI. Is your infrastructure up to the task? Probably not. That’s why you need to understand the quickly evolving landscape of AI chips including GPUs, FPGAs, and ASICs. Register for this webinar to learn how to hire and technology-enable a team of AI engineers.

Key takeaways:

  • Understand why AI deep learning is so compute hungry.
  • Learn about the essential elements of AI infrastructure, including chips, systems, and cloud services.
  • Understand how to decide what AI infrastructure is best for your enterprise.

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