This comprehensive guide walks you through the process of installing JAX on Ubuntu, including setting up Python, creating a virtual environment, and installing JAX with both CPU and GPU support. JAX enables high-performance machine learning models with accelerated computation, perfect for researchers and developers.
10 min
Edited:12-10-2024
How to Install JAX on Ubuntu
JAX is a high-performance machine learning library that allows for accelerated numerical computing using both CPU and GPU. Below is a guide to install JAX on Ubuntu.
1. Update and Upgrade the System
Start by updating your system to ensure all packages are up to date:
1. sudo apt update && sudo apt upgrade -y
2. Install Python
Ensure that Python 3.x is installed on your system:
1. python3 --version
If Python isn’t installed, you can install it using:
1. sudo apt install python3 python3-pip python3-venv -y
3. Create a Virtual Environment
It’s best to use a virtual environment to isolate JAX and its dependencies:
1. python3 -m venv jax-env
2. source jax-env/bin/activate
4. Install JAX with CPU Support
To install JAX with CPU support, you can use pip:
1. pip install jax
5. Install JAX with GPU Support (Optional)
If you want to use JAX with GPU acceleration, you’ll need to install the version of JAX that works with NVIDIA’s CUDA toolkit:
After setting up CUDA, install JAX with GPU support:
1. pip install --upgrade "jax[cuda11_cudnn86]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
6. Verify the Installation
To check if JAX is installed correctly, run the following Python script:
1. import jax
2. import jax.numpy as jnp
3.
4. # Simple operation
5. x = jnp.array([1.0, 2.0, 3.0])
6. print(jax.device_put(x * 2))
7. Test JAX with GPU
If you have installed the GPU version, you can check if JAX is utilizing the GPU with this script:
1. import jax
2. from jax import random
3.
4. # Ensure that JAX uses the GPU
5. key = random.PRNGKey(0)
6. x = random.normal(key, (1000, 1000))
7. print(jax.devices())
You should see the GPU listed in the output if JAX is using it.
After following these steps, you should have JAX successfully installed on your Ubuntu system. Whether you use CPU or GPU, JAX is now ready to help you with high-performance numerical computing and machine learning tasks!
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