This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
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Updated
Oct 3, 2022 - Shell
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
Run GPU inference and training jobs on serverless infrastructure that scales with you.
Graphics Processing Unit (GPU) Architecture Guide
Docker build scripts for TornadoVM on GPUs: https://github.com/beehive-lab/TornadoVM
A Hadoop Version with GPU support for better AI job scheduling
GPU-accelerated guppy basecalling and demultiplexing on Linux
This project shows how to add a GPU-enabled node pool to an existing AKS cluster and how to autoscale and monitor GPU-enabled worker nodes
Protecting Real-Time GPU Kernels on Integrated CPU-GPU SoC Platforms
⚡ Useful scripts used on the GPU machines in the Computer Vision Laboratory
A little script to build tensorflow gpu images with avx2
Customized Caffe (for the Multi-Task Network Cascade segmentation project) local user installation script for ETH Zurich's IVC cluster. Meant to work with a modules system and assumes CUDA and other things are available.
A minimal docker-compose setup for deploying gpu-computing environments.
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