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---
title: "Installation: Ubuntu"
---
# Ubuntu Installation
**General dependencies**
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
sudo apt-get install --no-install-recommends libboost-all-dev
**CUDA**: Install by `apt-get` or the NVIDIA `.run` package.
The NVIDIA package tends to follow more recent library and driver versions, but the installation is more manual.
If installing from packages, install the library and latest driver separately; the driver bundled with the library is usually out-of-date.
This can be skipped for CPU-only installation.
**BLAS**: install ATLAS by `sudo apt-get install libatlas-base-dev` or install OpenBLAS or MKL for better CPU performance.
**Python** (optional): if you use the default Python you will need to `sudo apt-get install` the `python-dev` package to have the Python headers for building the pycaffe interface.
**Compatibility notes, 16.04**
CUDA 8 is required on Ubuntu 16.04.
**Remaining dependencies, 14.04**
Everything is packaged in 14.04.
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev
**Remaining dependencies, 12.04**
These dependencies need manual installation in 12.04.
# glog
wget https://github.com/google/glog/archive/v0.3.3.tar.gz
tar zxvf v0.3.3.tar.gz
cd glog-0.3.3
./configure
make && make install
# gflags
wget https://github.com/schuhschuh/gflags/archive/master.zip
unzip master.zip
cd gflags-master
mkdir build && cd build
export CXXFLAGS="-fPIC" && cmake .. && make VERBOSE=1
make && make install
# lmdb
git clone https://github.com/LMDB/lmdb
cd lmdb/libraries/liblmdb
make && make install
Note that glog does not compile with the most recent gflags version (2.1), so before that is resolved you will need to build with glog first.
Continue with [compilation](installation.html#compilation).
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