cuda

  1. Alfa147x

    WTB/WTR (US-CA): nvidia jetson developer kit

    Does any one have a nvidia jetson just sitting around? I've been playing with ML on the M1 and want to graduate to CUDA. Let me know if anyone have a device they'd like to sell. I'm open to a rental term too.
  2. Patrick

    ccminer Universal NVIDIA Docker Miner

    Here is the docker image for ccminer. The docker image is built with CUDA 9.0 from the official nvidia/cuda image so you need to have CUDA 9 compatible drivers installed on the host system. You do NOT need to have CUDA installed on the host system. This is also meant for nvidia-docker2 so we...
  3. Patrick

    Getting started with Ubuntu 16.04 LTS for Deep Learning and AI

    I am just going to take a few notes of what I do to start new systems for machine learning. Get basic tools installed for Ubuntu including Docker: sudo apt-get update && sudo apt-get upgrade -y sudo apt-get install build-essential autoremove git wget -qO- https://get.docker.com/ | sh sudo...
  4. Patrick

    Monero GPU mining in Docker with nvidia-docker

    For those who want an easy way to mine Monero (XMR) using Docker here is a simple way to run a fairly optimized miner in Docker using nvidia-docker: If you have a single GPU you can use: nvidia-docker run -d -e username=example@example.com linuxbench/sth_monero_nvidia_gpu If you have...
  5. Patrick

    Ubuntu 16.04 LTS with NVIDIA CUDA Docker

    Thank you to @Patriot $ sudo nvidia-docker run --rm nvidia/cuda nvidia-smi Using default tag: latest latest: Pulling from nvidia/cuda ba76e97bb96c: Pull complete 4d6181e6b423: Pull complete 4854897be9ac: Pull complete 4458f3097eef: Pull complete 9989a8de1a9e: Pull complete 97b9fecc40a9: Pull...
  6. Patrick

    Maching Learning/ Nerual Network GPUs

    We now have 6x dual socket blades in the STH lab each with 2x GPU support. I saw a big search engine (not Google) is using chassis with 8x "Geforce GTX" GPUs in each chassis. I am guessing they are Titan (X/Z) GPUs, as judging by the setup, it was not inexpensive or low power. The Tesla...