Contents:
Scalable ML in the Cloud - First Steps on MS Azure
Phil Tooley, HPC Analyst, NAG
For new users the cloud can be a complex and overwhelming environment, even for experienced users of traditional HPC and on-premises computing. In this talk I will look at some of the common issues experienced when deploying machine learning training in the cloud, and how to get going quickly and efficiently. I will share my own experiences of performing distributed ML training on Microsoft Azure, including what worked, what didn't, and what I wish someone had told me before I started!
NVIDIA SimNet
Filippo Spiga, EMEA HPC Developer Relations, Nvidia
Accelerating physics and engineering using Physics Informed Neural Network (PINN)
Q&A Panel