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Accelerate AI/ML workloads with Kubeflow and System Architecture

AI/ML model training is becoming more time consuming due to the increase in data needed to achieve higher accuracy levels. This is compounded by growing business expectations to frequently re-train and tune models as new data is available.

The two combined is resulting in heavier compute demands for AI/ML applications. This trend is set to continue and is leading data center companies to prepare for greater compute and memory-intensive loads for AI.

Getting the right hardware and configuration can overcome these challenges.

In this webinar, you will learn:

- Kubeflow and AI workload automation
- System architecture optimized for AI/ML
- Choices to balance system architecture, budget, IT staff time and staff training.
- Software tools to support the chosen system architecture
Recorded Apr 9 2020 42 mins
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Presented by
Eduardo Aguilar Pelaez - Canonical & Srini Bala - Supermicro
Presentation preview: Accelerate AI/ML workloads with Kubeflow and System Architecture

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  • Title: Accelerate AI/ML workloads with Kubeflow and System Architecture
  • Live at: Apr 9 2020 4:00 pm
  • Presented by: Eduardo Aguilar Pelaez - Canonical & Srini Bala - Supermicro
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