Docker image with Jupyter, Pytorch and CUDA GPUs supports.
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Updated
Dec 3, 2024 - Dockerfile
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.
Docker image with Jupyter, Pytorch and CUDA GPUs supports.
Google Colab Notebooks for Udacity CS344 - Intro to Parallel Programming
Notebook to help setup TensorRT 7 in Google Colab.
Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. Join our Discord communty: https://discord.com/invite/TgHXuSJEk6
Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.
A jupyter notebook is provided for in-depth explanation.
🚜 🚙Programming with Cuda on IPython Notebook
jupyter/scipy-notebook with CUDA Toolkit, cuDNN, NCCL, and TensorRT
Cuda learning notebook
Docker scripts to run a CUDA enabled Jupyter notebook in the cloud
Jupyter Notebook examples using CTPO as their source container.
jupyter notebook docker image.
Jupyter plugin to run CUDA code inside your Jupyter notebook
Dockerized TensorFlow with GPU support Image, python library with Jupyter environments enabled ready
Containerized JupyterLab templates with Python 3
Created by Nvidia
Released June 23, 2007