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Developers' Guide to Environment Setup

Compute Unified Device Architecture (CUDA)

Ubuntu 22.04

GPU Model VRAM Installation Result
RTX 4090 24 GB OK
GTX 1080 Ti 11 GB OK
RTX 2070 Super 8 GB OK
Tesla P40 24 GB NG with overheat issue
RTX 4070 Ti 12 GB
sudo apt-get remove --purge '^nvidia-.*' sudo apt-get autoremove sudo ubuntu-drivers autoinstall # sudo apt-get install nvidia-driver-535 -y cd /dev/shm/ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb sudo dpkg -i cuda-keyring_1.1-1_all.deb sudo apt-get update sudo apt-get -y install cuda-toolkit-12-2 sudo dpkg -i cudnn-local-repo-ubuntu2204-8.9.7.29_1.0-1_amd64.deb sudo cp /var/cudnn-local-repo-*/cudnn-local-*-keyring.gpg /usr/share/keyrings/ sudo apt-get update sudo apt-get install libcudnn8=8.9.7.29-1+cuda12.2
  • Benchmark for CNN models
GPU Model Time Speedup
RTX 4090 TBA TBA
Tesla P40 TBA TBA
RTX 2070 Super TBA TBA
RTX 4070 Ti

Windows 10

GPU Model VRAM Result
RTX 2060 6 GB TBA
Quadro K2200 4 GB TBA
pip3 install tensorflow

Java

Spring Boot

curl -s https://get.sdkman.io | bash source "$HOME/.sdkman/bin/sdkman-init.sh" sdk install springboot spring --version

C & C++

.NET Core with C#

Python

Kotlin

Rust

Go

LaTex

Haskell

JavaScript

TypeScript