GPUs are essential for accelerating Machine Learning workloads comprising throughput-intensive model training, latency-sensitive inference, and interactive development, usually done in Jupyter Notebooks (https://jupyter.org/). A common practice is deploying ML jobs as...
George is a Software Engineer at Arrikto, working on Kubernetes and Kubeflow. He is the creator and maintainer of Kiwi, a GPU virtualization/sharing mechanism that increases utilization and reduces costs both on cloud and on-prem. He holds a diploma in Electrical and Computer Engineering from the National Technical University of Athens.