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4paradigm-k8s-device-plugin

OpenAIOS vGPU device plugin for Kubernetes is originated from the OpenAIOS project to virtualize GPU device memory, in order to allow applications to access larger memory space than its physical capacity. It is designed for ease of use of extended device memory for AI workloads.

4paradigm-k8s-vgpu-scheduler

OpenAIOS vGPU scheduler for Kubernetes is originated from the OpenAIOS project to virtualize GPU device memory.

ai-benchmark

AI benchmark source code from http://ai-benchmark.com

cgpu

cuda_hook

Hooked CUDA-related dynamic libraries by using automated code generation tools.

devices

Device plugins for Volcano, e.g. GPU

gaiagpu

gaiagpu in tencent cluster

glake

GLake: optimizing GPU memory management and IO transmission.

gpu-analyzer

GPU analyzer for Kubernetes GPU clusters

gpu-scheduler-for-deep-learning

GPU-scheduler-for-deep-learning

gpumounter

A kubernetes plugin which enables dynamically add or remove GPU resources for a running Pod

gpushare-device-plugin

GPU Sharing Device Plugin for Kubernetes Cluster

gpushare-scheduler-extender

GPU Sharing Scheduler for Kubernetes Cluster

hami-core

HAMi-core compiles libvgpu.so, which ensures hard limit on GPU in container

juice-labs

Juice Community Version Public Release

k8s-device-plugin

NVIDIA device plugin for Kubernetes

nvidia-pidns

Fix nvidia-smi/nvtop PIDs when used from within container

nvsmi

A wider nvidia-smi

open-gpu-kernel-modules

NVIDIA Linux open GPU kernel module source

qgpu

A simple job scheduler across multi-node gpus

salus

Fine-grained GPU sharing primitives

tkestack-gpu-admission

tkestack-gpu-exporter

tkestack-gpu-manager

tkestack-vcuda-controller

vcuda-deployment