Introduction to HPE Machine Learning Development Environment

HPE AI & the HPE Machine Learning Development Environment helps customers address the problems of complexity & costs associated with machine learning model development & speeds time to value by removing the need to write infrastructure code.

Description While machine learning (ML) has enormous potential, building ML-powered applications remains difficult, expensive, and time-consuming. ML Engineers spend most of their time on DevOps and writing boilerplate code for common tasks like multi-GPU training and fault tolerance, rather than building better models. Join us to hear best practices, strategies and insights to address these challenges. We'll discuss: - Why training machine learning models at scale poses unique challenges for ML teams - How HPE can help ML teams find more accurate models faster using less hardware resources and simplify ML Engineering across a variety of use cases and industries - How to get started with Determined AI using your existing models and code Speaker: Hoang Phan Solutions Engineer - HPC & AI Hoang is a Solutions Engineer at HPE, where he helps customers who are building cutting-edge AI products across a wide range of industries dramatically accelerate their time to market. Hoang joined HPE with the company’s acquisition of Determined AI. Prior to Determined, Hoang was a Solutions Architect working on machine learning solutions at Box. He holds a Masters in Data Science from UC Berkeley.