nvidia-gpu-scheduler
stable-diffusion-nvidia-docker
nvidia-gpu-scheduler | stable-diffusion-nvidia-docker | |
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1 | 6 | |
7 | 346 | |
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0.0 | 7.0 | |
over 1 year ago | 6 months ago | |
Python | Python | |
MIT License | MIT License |
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nvidia-gpu-scheduler
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[D] How to be more productive while doing Deep Learning experiments?
Sure. No, a simple bash script is not enough. In my case, we have several machines shared in the department, some with GPUs, some without. What I have is a python script that gets a list of jobs and then it schedule them in the first available machine (according to memory/CPU/GPU availability). Unfortunately, what I have is really entangled with our computing platform (Docker-based with a shared filesystem) and not really easy to have it as standalone project (that's why I said "know you infrastructure"). The most similar thing that I could find online is this project. I believe there are then some HPC tools that could be useful (e.g. Slurm), but that's way too much for what we need.
stable-diffusion-nvidia-docker
- Does Stable Diffusion support NVLink?
- The guy behind the viral fake photo of the Pope in a puffy coat says using AI to make images of celebrities 'might be the line' — and calls for greater regulation
- Utilizing Multiple GPUs - Repurposing Mining Rig
- Can we start a list of Stable Diffusion 2.0 compatible UI's?
- Using several computers (GPUs) to speed up Stable Diffusion computation times
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Clustering GPUs for use with SD
Any update? I just searched through the discord for dataparallel and found someone mentioned this link to a docker image which appears to support multi GPU but I don't have any experience with docker and haven't seen where dataparallel is used in any of the files. I'm also searching through all the mentions of K80.
What are some alternatives?
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
deforum-stable-diffusion
fastapi-cloud-tasks - GCP's Cloud Tasks + Cloud Scheduler + FastAPI = Partial replacement for celery.
dream-textures - Stable Diffusion built-in to Blender
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
tmux - tmux source code
Stable-Diffusion-2.0-CPU-or-GPU-Colab-Gradio - Config files for my GitHub profile.
Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Mask_RCNN_Pytorch - Mask R-CNN for object detection and instance segmentation on Pytorch
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
dream-factory - Multi-threaded GUI manager for mass creation of AI-generated art with support for multiple GPUs.