Course: Efficient multi-GPU and multi-node execution of AI applications and frameworks on the GPU nodes of Karolina supercomputer

This half-day course is dedicated to learning how to efficiently use the GPU accelerated part of Karolina for Deep and Machine Learning.

Technical details of the GPU partition of Karolina supercomputer:

The accelerated part consists of 72 servers and each of them is equipped with 8 GPU accelerators providing a performance of 11 PFlop/s for standard HPC simulations and up to 180 PFlop/s for artificial intelligence computations.

The course is taking place on-line. 

Language: English

Registration and more information HERE or at training@it4i.cz.