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  1. A multinational company, focused on innovations in computer vision technology, managed to go from 28% GPU utilization to optimization of over 70%, and achieve a 2X increase the speed of their …

  2. This white paper addresses the challenges of expensive and limited compute resources and identifies solutions for optimization of resources, applying concepts from the world of virtualization, High …

  3. Quickstart: Launch Workloads with GPU Fractions

    The Workloads are based on a sample docker image runai.jfrog.io/demo/quickstart the image contains a startup script that runs a deep learning TensorFlow-based workload.

  4. Run.ai

    Run.ai ... Run.ai

  5. 301 Moved Permanently

    301 Moved Permanently 301 Moved Permanently openresty

  6. Changelog Version 2.15 - docs.run.ai

    Dec 17, 2023 · Hotfixes for 2.15 The following is a list of the known and fixed issues for Run:ai V2.15. Version 2.15.9 - February 5, 2024 Fixed issues

  7. Runai training describe - Documentation

    Options ¶ --compute Show compute information (default true) --containers Include container information in pods --event-limit int32 Limit the number of events displayed (-1 for no limit) (default 50) --events …

  8. Runai mpi port forward

    Runai mpi port forward runai mpi port-forward forward one or more local ports to a mpi training job

  9. Runai tensorflow suspend

    Options -h, --help help for suspend -p, --project string Specify the project to which the command applies. By default, commands apply to the default project. To change the default project use ‘runai config …

  10. Access Rules - docs.run.ai

    Access Rules This article explains the procedure to manage Access rules. Access rules provide users, groups, or applications privileges to system entities. An access rule is the assignment of a role to a …