Kevin Klues

Kevin Klues is a distinguished engineer on the NVIDIA cloud native team. Over the years, he has been involved in the design and implementation of a number of key technologies, including the Kubernetes Topology Manager, the container/Kubernetes stack for multi-instance GPUs, and dynamic resource allocation (DRA). Before joining NVIDIA, Kevin worked as a lead architect at Mesosphere, as well as a software engineer at Google. Kevin holds a bachelor's degree from the Rose-Hulman Institute of Technology, a master's degree from Washington University in St. Louis, and a Ph.D from the University of California, Berkeley.
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Posts by Kevin Klues

Data Center / Cloud

Understanding Memory Management on Hardware-Coherent Platforms

If you're an application developer or a cluster administrator, you’ve likely seen how non-uniform memory access (NUMA) can impact system performance. When an... 6 MIN READ
Data Center / Cloud

Improving GPU Utilization in Kubernetes

For scalable data center performance, NVIDIA GPUs have become a must-have.  NVIDIA GPU parallel processing capabilities, supported by thousands of... 15 MIN READ
Data Center / Cloud

Announcing containerd Support for the NVIDIA GPU Operator

Editor's note: Interested in GPU Operator? Register for our upcoming webinar on January 20th, "How to Easily use GPUs with Kubernetes". For many years, docker... 5 MIN READ
Data Science

Getting Kubernetes Ready for the NVIDIA A100 GPU with Multi-Instance GPU

Multi-Instance GPU (MIG) is a new feature of the latest generation of NVIDIA GPUs, such as A100. It enables users to maximize the utilization of a single GPU by... 13 MIN READ