awesome-kubernetes
ROCm-docker
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| awesome-kubernetes | ROCm-docker | |
|---|---|---|
| 3 | 3 | |
| 14,715 | 392 | |
| - | 2.3% | |
| 6.3 | 5.1 | |
| 8 days ago | 13 days ago | |
| Shell | Shell | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-kubernetes
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A list of curated open-source K8s tools & resources
There are some lists already: * https://github.com/ramitsurana/awesome-kubernetes * https://github.com/tomhuang12/awesome-k8s-resources
- Scope of GCP in India
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#13 DevOps Diary: Events are back
This is an open source documentation, linking to Kubernetes resources and providing explanations. You can also contribute here.
ROCm-docker
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
https://rocm.docs.amd.com/projects/install-on-linux/en/lates... links to ROCm/ROCm-docker: https://github.com/ROCm/ROCm-docker which is the source of docker.io/rocm/rocm-terminal: https://hub.docker.com/r/rocm/rocm-terminal :
docker run -it --device=/dev/kfd --device=/dev/dri --group-add video rocm/rocm-terminal -
Stable Diffusion PR optimizes VRAM, generate 576x1280 images with 6 GB VRAM
Not sure about the 6600, but there is a guide for Linux at least:
https://m.youtube.com/watch?v=d_CgaHyA_n4&feature=emb_logo
And this is somehow relevant (possibly), as I kept the link open.
https://github.com/RadeonOpenCompute/ROCm-docker/issues/38
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It's working perfectly under Linux
As for the Docker image, I suppose you could compile the image (https://hub.docker.com/r/rocm/pytorch) by yourself using the sources (https://github.com/RadeonOpenCompute/ROCm-docker#building-images), which seems to be quite a bit of work. Better, you could just use an older tag of the upstream image, eg. rocm4.1.1_ubuntu18.04_py3.6_pytorch instead of rocm4.2_ubuntu18.04_py3.6_caffe2 or latest . Just make sure your container version matches your host ROCm version.
What are some alternatives?
jitsi-deployment - Auto-scalable Jitsi Meet for Kubernetes
AiDungeon2-Docker-ROCm - Runs an AIDungeon2 fork in Docker on AMD ROCm hardware.
docker-android - Android in docker solution with noVNC supported and video recording
stable-diffusion - Go to lstein/stable-diffusion for all the best stuff and a stable release. This repository is my testing ground and it's very likely that I've done something that will break it.
searxng-docker - The docker-compose files for setting up a SearXNG instance with docker.
ZLUDA - CUDA on AMD GPUs
searx-docker - Create a searx instance using Docker
docker-elk - The Elastic stack (ELK) powered by Docker and Compose.
ib-gateway-docker - Interactive Brokers Trading Gateway running in Docker
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications
eks-nvme-ssd-provisioner - EKS NVMe SSD provisioner for Amazon EC2 Instance Stores
Docker-OSX - Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.