Hybrid cloud blog

    August 31, 2021

    Not All Machine Learning Workloads are Alike, So Why are We Treating Them Like They are?

    This is a guest blog by Dr. Ronen Dar, CTO and co-founder of Run:AI. At each stage of the machine learning / deep learning (ML/DL) process, researchers are completing specific tasks, and those tasks ...

    Alex Handy

    August 26, 2021

    Using NVIDIA A100’s Multi-Instance GPU to Run Multiple Workloads in Parallel on a Single GPU

    The new Multi-Instance GPU (MIG) feature lets GPUs based on the NVIDIA Ampere architecture run multiple GPU-accelerated CUDA applications in parallel in a fully isolated way. The compute units of the ...

    Kevin Pouget

    August 2, 2021

    Red Hat OpenShift 4.8 Is Now Generally Available

    Today, I am pleased to announce the general availability of Red Hat OpenShift 4.8. While this blog provides an overview of the features, functions, and benefits, the OpenShift 4.8 press release is a ...

    Tushar Katarki

    June 15, 2021

    Multi-Instance GPU Support with the GPU Operator v1.7.0

    The Performance and Latency Sensitive Applications (PSAP) team at Red Hat works on the enablement and optimization of Red Hat OpenShift to run compute-intensive enterprise workloads and AI/ML ...

    Kevin Pouget

    March 23, 2021

    Using the NVIDIA GPU Operator to Run Distributed TensorFlow 2.4 GPU Benchmarks in OpenShift 4

    Motivation In certain cases, OpenShift 4.x users may want to run large, distributed workloads in the latest version of OpenShift 4.x, especially if their cluster’s bare metal machines’ hardware is ...

    Courtney Pacheco

    February 18, 2021

    Business Centric AI/ML With Kubernetes - Part 3: GPU Acceleration

      Introduction Artificial Intelligence and Machine Learning (AI/ML) have existed in various forms for over six decades. Yet AI/ML have historically failed to live up to the hype that has surrounded ...

    Tom Corcoran

    October 9, 2020

    Upcoming AI Webinar on NVIDIA NGC and OpenShift

    What's better than a giant room full of computers learning how to solve your problems? A giant room of computers all supplemented with GPUs to speed up those calculations. They're not just for games, ...

    Abhinav Joshi